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Dissertations / Theses on the topic 'ECG'
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Albaba, Adnan. "MODEL-BASED ECG ANALYSIS:TOWARDS PATIENT-SPECIFIC WEARABLE ECG MONITORING : MODEL-BASED ECG ANALYSIS:TOWARDS PATIENT-SPECIFIC WEARABLE ECG MONITORING." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-409069.
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In this thesis, model-based analysis approach is considered as a possible solution towards a patient-specific point-of-care device for the purpose of electrocardiogram monitoring. Two novel methods are proposed, tested, and quantitatively evaluated. First, a method for estimating the instantaneous heart rate using the morphologicalfeatures of one electrocardiogram beat at a time is proposed. This work is not aimed at introducing an alternative way for heart rate estimation, but rather illustrates the utility of model-basedelectrocardiogram analysis in online individualized monitoring ofthe heart function. The heart rate estimation problem is reduced to fitting one parameter, whose value is related to the nine parameters of a realistic nonlinear model of the electrocardiogram and estimated from data by nonlinear least-squares optimization. The method feasibility is evaluated on synthetic electrocardiogram signals as well as signals acquired from MIT-BIH databases at Physionet website. Moreover, the performance of the method was tested under realistic free-moving conditions using a wearable electrocardiogram and heart monitor with encouraging results. Second, a model-based method for patient-specific detection of deformed electrocardiogram beats is proposed. Five parameters of a patient-specific nonlinear electrocardiogram model are estimated from data by nonlinear least-squares optimization. The normal variability of the model parameters is captured by estimated probability density functions. A binary classifier, based on stochastic anomaly detection methods, along with a pre-tuned classification threshold, is employed for detecting the abnormal electrocardiogram beats. The utility of the proposed approach is tested by validating it on annotated arrhythmia data recorded underclinical conditions.
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mediavilla, pons emiliano elias. "Wireless ECG." Thesis, Jönköping University, JTH, Computer and Electrical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-8446.
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This document contains the development of an amplifier for an ECG-signal and interfacing it to wireless communication. The purpose of this project is to get a clear ECG-signal without any noise, save it and send it through wireless communication.A challenge of the wireless communication unit is to send as little information as possible to make the communication faster, without loss of information in the ECG-signal.The context for this project is the integration of wireless communication in medical applications for home healthcare. This means that, patients are no longer bound to a specific healthcare location where they are monitored by medical instruments. Wireless communication will not only provide them with safe and accurate monitoring, but also the freedom of movement.
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Balli, Tugce. "Nonlinear analysis methods for modelling of EEG and ECG signals." Thesis, University of Essex, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.528852.
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Michalek, Paul. "AN AUTHENTIC ECG SIMULATOR." Master's thesis, University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2500.
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An ECG (electrocardiogram) simulator is an electronic tool that plays an essential role in the testing, design, and development of ECG monitors and other ECG equipment. Principally an ECG simulator provides ECG monitors with an electrical signal that emulates the human heart's electrical signal so that the monitor can be tested for reliability and important diagnostic capabilities. However, the current portable commercially available ECG simulators are lacking in their ability to fully test ECG monitors. Specifically, the portable simulators presently on the market do not produce authentic ECG signals but rather they endeavor to create the ECG signals mathematically. They even attempt to mathematically create arrhythmias (irregular heartbeats of which there are many different types). Arrhythmia detection is an important capability for any modern ECG monitor because arrhythmias are often the critical link to the diagnosis of heart conditions or cardiovascular disease. The focus of this thesis is the design and implementation of a portable ECG simulator. The important innovation of this prototype simulator is that it will not create its ECG signals mathematically, but rather it will store ECG data files on a memory module and use this data to produce an authentic ECG signal. The data files will consist of different types of ECG signals including different types of arrhythmias. The data files are obtained via the internet and require formatting and storing onto a memory chip. These files are then processed by a digital to analog converter and output on a four lead network to produce an authentic ECG signal. The system is built around the ultra-low power Texas Instruments MSP430 microcontroller.M.S.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Computer Engineering
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Soski, Daniel Aaron. "Extended-Use ECG Monitor." DigitalCommons@CalPoly, 2018. https://digitalcommons.calpoly.edu/theses/1875.
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In this thesis, a prototype ECG monitor was developed that is integrated into an elastic shirt and takes a 3-lead ECG for over 5 days. The high-quality measurements can be used to identify markers indicative of various detrimental heart conditions. Measurements recorded by the device are encrypted and stored onto a micro-SD card. Current Holter monitors are expensive and have functional lives less than 48 hours; however, extended duration monitoring has been proven more useful in diagnosis. The device designed demonstrates that ECG measurements can be taken over longer durations without sacrificing quality, comfort, or device cost.
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Arteaga, Falconi Juan Sebastian. "ECG Authentication for Mobile Device." Thesis, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/30221.
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Mobile devices users are storing more and more private and often highly sensitive information on their mobiles. Protective measures to ensure that users of mobile devices are appropriately safeguarded are thus imperative to protect users. Traditional mobile login methods, like numerical or graphical passwords, are vulnerable to passive attacks. It is common for criminal s to gain access to victims' personal information by watching victims enter their passwords into their cellphone screens from a short distance away. With this in mind, a Biometric authentication algorithm based on electrocardiogram or ECG is proposed. In this system the user will only need to touch the ECG electrodes of the mobile device to gain access. With this authentication mode no one will be able to see the biometric pattern that is used to unlock the de vices. This will increase the protection for the users. The algorithm was tested with ten subjects from MCRlab at the University of Ottawa at different days and conditions using a two electrode ECG phone case. Several tests were performed in order to reach the best setting for the algorithm to work properly. The final results show that the system has a 1.41% of chance to accept false users and 81.82% of accepting the right users. The algorithm was also tested with 73 subjects from Physionet database and the results were around the same, which confirms the consistency of the algorithm. This is the first approach on mobile authentication using ECG biometric signals and shows a promising future for this technology to be used in mobiles.
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Huang, Xiabing. "Ambulatory ECG mapping (ST-segment)." Thesis, University of Sussex, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335035.
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Alam, M. (Md ). "Automatic ECG signal quality assessment." Master's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201906052442.
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Abstract. The quality assessment of signal has been a research topic for many years, as it is mainly related to the problem of the false alarms. Automatic quality detection/assessment and classification of signals can play a vital role in the development of robust unsupervised electrocardiogram (ECG). The development of efficient algorithms for the quality control of ECG recordings is essential to improve healthcare now. ECG signal can be intermixed with many kinds of unwanted noises. It is an important task to assess the quality of the ECG signal for further biomedical inspections. To make that happen, we made an algorithm that is efficient and uses some basic quality features to classify the ECG signals. It is a very effective way to acquire a good quality ECG signal in real-time by unskilled personnel for instance in rural areas there is not enough expertise in this field. By using this method, they can quickly know if the ECG signal is acceptable or unacceptable for further inspections. The method is used to assess the quality of the ECG signals in the training set of the Physionet/Computing in Cardiology Challenge 2011, giving a correct interpretation of the quality of the ECG signals of 93.08% which corresponded to a sensitivity of 96.53% and a specificity of 86.76%.
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Chen, Tsai Yuan. "Network Electrophysiology Sensor-On-A- Chip." Digital WPI, 2011. https://digitalcommons.wpi.edu/etd-dissertations/389.
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Electroencephalogram (EEG), Electrocardiogram (ECG), and Electromyogram (EMG) bio-potential signals are commonly recorded in clinical practice. Typically, patients are connected to a bulky and mains-powered instrument, which reduces their mobility and creates discomfort. This limits the acquisition time, prevents the continuous monitoring of patients, and can affect the diagnosis of illness. Therefore, there is a great demand for low-power, small-size, and ambulatory bio-potential signal acquisition systems.
Recent work on instrumentation amplifier design for bio-potential signals can be broadly classified as using one or both of two popular techniques: In the first, an AC-coupled signal path with a MOS-Bipolar pseudo resistor is used to obtain a low-frequency cutoff that passes the signal of interest while rejecting large dc offsets. In the second, a chopper stabilization technique is designed to reduce 1/f noise at low frequencies. However, both of these existing techniques lack control of low-frequency cutoff.
This thesis presents the design of a mixed- signal integrated circuit (IC) prototype to provide complete, programmable analog signal conditioning and analog-to-digital conversion of an electrophysiologic signal. A front-end amplifier is designed with low input referred noise of 1 uVrms, and common mode rejection ratio 102 dB. A novel second order sigma-delta analog- to-digital converter (ADC) with a feedback integrator from the sigma-delta output is presented to program the low-frequency cutoff, and to enable wide input common mode range of ¡Ãƒâ€œ0.3 V. The overall system is implemented in Jazz Semiconductor 0.18 um CMOS technology with power consumption 5.8 mW from ¡Ãƒâ€œ0.9V power supplies. "
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Saulnier, Diane Christine. "Imaging of the Canine Heart Using Non ECG-Gated and ECG-Gated 64 Multidetector Computed Tomography." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/34046.
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ECG-gated multidetector computed tomography (MDCT) is an imaging modality widely utilized for the evaluation of cardiac pathology by physicians. However, there has been little research of cardiac MDCT imaging in veterinary patients. Presently, ECG-gating is an upgrade for MDCT, which few veterinary institutions currently possess. The purpose of this study was to compare image quality between a 16 non ECG-gated and 64 ECG-gated MDCT for clinically important cardiac anatomy in dogs. In a crossover trial, six dogs were scanned using 16 non ECG-gated and 64 ECG-gated MDCT. A standardized anesthetic protocol, designed to induce bradycardia (mean HR 45 bpm ± 12.6) was used. Five post-contrast sequential scans through the heart were performed for each patient when utilizing the 16 non ECG-gated MDCT, in attempt to obtain a motion free series of images of the heart. For each scan, assessment of cardiac morphology was performed by evaluating a group of 21 cardiac structures, using a 3-point scale. Each of the images were scored as 0 (motion present, scan non-diagnostic), 1 (motion present, scan diagnostic), and 2 (no motion, therefore diagnostic scan of high quality). Quality scores (QS) from all scans within a dog (30 scans total) were assigned for each cardiac structure. QS from the six ECG-gated MDCT scans were of high diagnostic quality, generating diagnostic images for all of the 21 cardiac structures evaluated for each of the 6 scans. Individual non ECG-gated scans were of variable quality, primarily generating QS of 1 or 2. A complete set of diagnostic images for all 21 structures was not achieved from an individual scan. Minimum number of non ECG-gated scans to identify a single structure was calculated, and ranged from 1-2 scans for all structures. Cumulative number of sequential non ECG-gated scans needed to achieve images of all cardiac structures was calculated and determined to be 5. A 16 non ECG-gated MDCT scanner can produce cardiac images that are similar in quality, to those of 64 ECG-gated MDCT. Cardiac motion negatively impacts image quality in studies acquired without ECG-gating. However, this can be overcome by performing multiple sequential scans through the heart.Master of Science
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Morales, Eduardo. "Spatio-temporal ECG analysis for localization of arrhythmias using precordial ECG leads and 128-lead system." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2009. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.
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Murray, Henry G. "Evaluation of the fetal electrocardiogram (ECG)." Thesis, University of Nottingham, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.297895.
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Lucena, Samuel E. de. "Um simulador de ECG/arritmias cardiacas." [s.n.], 1989. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259591.
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Orientador: Maria Adelia Collier FariasDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica
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Resumo: Neste trabalho é apresentado um simulador de ECG que gera o eletrocardiograma normal e 17 arritmias cardíacas, na derivação II. As arritmias incluem as principais extra-sístoles ventriculares. Este simulador propicia a manutenção adequada de monitores cardíacos e eletrocardiógrafos de todo tipo, inclusive dos monitores que detectam automaticamente diversas arritmias. As arritmias simuladas e a possibilidade de seqüenciá-Ias de muitos modos diferentes fazem deste instrumento uma ferramenta valorosa para o ensino do reconhecimento de arritmias, bem como para o desenvolvimento de circuitos e programas para aquisição e processamento de ECG. Tendo em vista que no mercado nacional não há simulador de ECG, e que o custo do protótipo é significativamente inferior ao de um similar estrangeiro, acredita-se na viabilidade de sua produção em escala industrial
Mestrado
Mestre em Engenharia Elétrica
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Antunes, Edgar Alexandre Silva. "Tele-ECG platform for mobile devices." Master's thesis, Universidade de Aveiro, 2012. http://hdl.handle.net/10773/10893.
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Mestrado em Engenharia de Computadores e TelemáticaNos dias de hoje, os sistemas Tele-ECG têm ganho cada vez mais importância, permitindo melhorar principalmente a qualidade de serviço prestado aos utentes de saúde que sofrem de doenças cardiovasculares. Estes sistemas permitem reduzir o tempo de interpretação de um ECG ao fornecer os requisitos necessários para que um cardiologista efetue a sua analise de forma remota, melhorando a capacidade de resposta em pequenas cidades, áreas remotas ou países em desenvolvimento; locais estes onde não existe, frequentemente, pessoal qualificado disponível para realizar a tarefa. Esta dissertação foca-se no estudo da área emergente da computação móvel, mais especificamente na analise de diferentes tecnologias de desenvolvimento multi-plataforma capazes de atingir eficazmente as varias frentes do atualmente segmentado mercado móvel. Numa fase posterior e apresentada e discutida a implementação de uma estação de visualização de ECG para dispositivos móveis através da utilização de uma das tecnologias previamente discutidas, assegurando sempre os aspetos de segurança e confidencialidade inerentes ao manuseamento de dados clínicos. Esta estação permitira reduzir substancialmente o tempo de resposta em situações de emergência medica ao tirar partido da disponibilidade de cardiologistas prontos a realizar uma interpretação clínica 24 horas por dia, independentemente da sua localização, através de um dispositivo móvel (smartphones, tablets, etc.).
Tele-ECG systems have gained an extreme importance in the last decade, making it possible to increase the quality of service provided to health care patients with cardiovascular diseases. These systems outperform a regular and traditional ECG analysis by reducing the response time in small villages, remote locations or in Third World countries; places that frequently lack of qualified professionals to accomplish such tasks. This dissertation focuses on the study of the ever-emerging mobile computing field, where a thorough analysis is presented regarding various cross-platform development technologies, capable of targeting effectively all the major platforms currently available in the today's highly segmented mobile market. Furthermore, this work presents an implementation of a mobile station with the capability of visualizing and analyzing an ECG, yet always assuring all the confidentiality and security aspects that should be taken into account while handling clinical data. This station will lead to a significant improvement of the response time in medical emergencies, mainly as a consequence of the constant availability of a group of cardiologists, regardless of their location, at a distance of a mobile device (smartphones, tablets, etc.).
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Pereira, Bruno Miguel Costa. "Sistema de aquisição de ECG capacitivo." Master's thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/14551.
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Mestrado em Engenharia Electrónica e de TelecomunicaçõesA necessidade da existência de um sistema de aquisição do sinal vital completamente não invasivo, foi a motivação principal para o desenvolvimento deste projeto. Inicialmente foi realizado trabalho de pesquisa e de comparação dos sistemas ECG existentes, para dessa forma ser adquirido um conhecimento do sistema em si. Posteriormente são proposto dois circuitos para fazer a aquisição do ECG sem contacto, baseados em acoplamento capacitivo. Estes foram simulados e finalmente implementados. Desta forma foram feitos testes experimentais nos dois protótipos e comparados os resultados entre eles. Por outro lado são apresentados transceivers de um sistema de comunicação capacitivo que foi desenvolvido na Universidade de Aveiro, que foram alvo de melhorias, nomeadamente na redução do seu volume e consumo. Por último foram interligados os dois sistemas demonstrando-se ser possível adquirir e transmitir o ECG num sistema puramente capacitivo.
The need for the existence of a vital signal acquisition system completely noninvasive, was the main motivation for the development of this project. Initially research work has been made and compared to the existing ECG systems to be acquired knowledge of the system. Subsequently two circuits were proposed for making non-contact ECG acquisition based on capacitive coupling. These were simulated and finally implemented. Thus experimental tests were done on both prototypes and compared the results between them. On the other hand are shown transceivers in a capacitive communication system that was developed at the University of Aveiro, which were targeted for improvement, notably in reducing its volume and consumption. Finally the interconnection of the two systems demonstrated to be possible to acquire and transmit the ECG in a purely capacitive system.
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D'Alesandro, Claudio. "Sistemi per il monitoraggio ecg domiciliare." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/6474/.
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È nata la necessità di trasferire nell’abitazione del paziente il percorso terapeutico, realizzando forme di assistenza a domicilio, che evitino da un lato il disagio dell’accesso alle strutture specialistiche, dall’altro che consentano di ridurre il carico di pazienti gestiti direttamente dalle strutture ospedaliere. Questi servizi sono in grado di favorire una delocalizzazione delle cure, decongestionando ospedali ed ambulatori. Questi sistemi di monitoraggio potranno così aiutare a risolvere una delle principali criticità del nostro servizio sanitario, ovvero la lunghezza delle liste d'attesa per le visite ambulatoriali,e contribuire a ridurre le spese per la loro erogazione. Nel mio elaborato discuto e analizzo due dispositivi in particolare il sensore BioHarness BH3 ed un prodotto innovativo studiato in Italia la MagIc.
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Lima, Marcelo Araújo. "Sistema remoto para análise automática de ECGs nos padrões HL7 AECG e DICOM-ECG." reponame:Repositório Institucional da UFC, 2017. http://www.repositorio.ufc.br/handle/riufc/26078.
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LIMA, M. A. Sistema remoto para análise automática de ECGs nos padrões HL7 AECG e DICOM-ECG. 2017. 78 f. Dissertação (Mestrado em Engenharia de Teleinformática)–Centro de Tecnologia, Universidade Federal do Ceará, Fortaleza, 2017.Submitted by Marlene Sousa (mmarlene@ufc.br) on 2017-09-25T17:22:14Z No. of bitstreams: 1 2017_dis_malima.pdf: 1997199 bytes, checksum: 6819aa354bd4c431de68f3bd5aca3b39 (MD5)
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According to the World Health Organization, about 17.5 million people die each year from cardiovascular disease. The early diagnosis and treatment is crucial to reduce this high number of deaths from cardiovascular diseases. Due to the importance of the electrocardiogram (ECG) analysis, which represents one of the main tests for the detection of these cardiovascular diseases, in the present dissertation is proposed a remote system for automatic ECGs analysis based on webservices that can substantially assist the doctor, using the extracted ECGs information, with the purpose to generate reports. Hence, a Middleware is proposed to abstract the complexities and to facilitate the construction of tools that allow the ECGs automatic analysis. The proposed architecture consists on a server which provides the computational algorithms to identify the main waves present in ECGs such as QRS complex, P and T waves, and support the open standards of HL7 aECG and DICOM-ECG. In order to validate the proposed Middleware and contribute to the medical community, especially the Walter Cantídio University Hospital, a Web application for remotely accessible ECG report was developed. The proposed solution was tested using the database MITDB to simulate the patients of the system and produce the results presented in this dissertation. The proposed solution met the established requirements which makes the proposed solution viable financially and technically.
De acordo com a Organização Mundial da Saúde (OMS), cerca de 17,5 milhões de pessoas morrem todos os anos vítimas de doenças cardiovasculares. O diagnóstico e tratamento precoce às pessoas com doenças cardiovasculares é fundamental para reduzir este número elevado de óbitos. Devido à importância da análise de Eletrocardiograma (ECG), que representa um dos principais exames para detecção destas doenças cardiovasculares, na presente dissertação é proposto um sistema remoto para análise automática de Eletrocardiograma (ECG)s baseado em Web services que pode auxiliar substancialmente o médico especialista, a partir de informações extraídas de ECGs, na emissão de laudos. Neste sentido, propõe-se um Middleware para abstrair as complexidades e facilitar a construção de ferramentas que permitam a análise automática de ECGs. Na arquitetura proposta, um servidor disponibiliza os algoritmos computacionais para identificação das principais ondas presentes nos ECGs tais como complexo QRS, ondas P e T, e suporte aos padrões abertos de exames HL7 aECG e DICOM-ECG. Para validar o Middleware proposto e contribuir com a comunidade médica, em especial do Hospital Universitário Walter Cantídio, desenvolve-se uma aplicação Web para geração de laudos de ECGs acessível remotamente. Testes foram realizados com a solução proposta, utilizando-se a base de dados MIT-BIH Arrhythmia Database (MITDB) para simular os pacientes do sistema e produzir os resultados apresentados nesta dissertação. A solução proposta atendeu aos requisitos estabelecidos e representa uma solução viável, financeiramente e tecnicamente.
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Poiseau, Éric. "Traitement du signal appliqué à l'analyse des signaux EEG et ECG enregistrés pendant le sommeil." Compiègne, 1993. http://www.theses.fr/1993COMPD592.
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Ce mémoire concerne l'analyse des signaux EEG et ECG enregistrés pendant le sommeil en vue de l'identification automatique des différents stades du sommeil et de l'évaluation quantitative de l'effet de certaines drogues sur les paramètres électrophysiologiques les caractérisant. Le premier chapitre est un chapitre d'introduction qui présente les différents stades du sommeil. Il présente les conditions expérimentales d'acquisition des signaux utilisés pour l'évaluation des algorithmes décrits dans les chapitres suivants. Le second chapitre est consacré à l'exposé de méthodes d'analyse des signaux EEG durant le stade 2 du sommeil. Deux approches complémentaires ont été développées et validées. La première repose sur une technique de filtrage adapté. Le signal EEGB est convolué avec des "templates" simulant des formes types de fuseaux de sommeil et de complexes-K. La détection repose sur un algorithme multicritères mettant en jeu des seuils d'amplitude de durée et d'énergie. La deuxième approche utilise une analyse spectrale multi-canaux afin d'étudier la répartition énergétique de l'EEG à la surface du scalp en vue de la localisation de l'activité fuseau. Ces deux analyses mettent en évidence la présence de fuseaux de sommeil pendant les stades 3 et 4 du sommeil. Le troisième chapitre traite de l'étude de la variabilité du rythme cardiaque durant les différents stades du sommeil. Un algorithme pour la détection automatique des complexes QRS est proposé. Le processus de reconnaissance retenu repose sur l'étude des pseudo-périodicités morphologiques au sein du signal ECG. Il combine analyse morphologique et approche physiologique. L'algorithme a été utilisé pour l'étude des variations de l'intervalle R-R en fonction des différents stades du sommeil et de l'effet de substances pharmacologiques. Il est montré que certaines variations de l'intervalle R-R pourraient être utilisées pour prévoir les changements dans l'architecture du sommeil.
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Vai, Mang I. "Detecting ECG late potentials using wavelet transform." Thesis, University of Macau, 2002. http://umaclib3.umac.mo/record=b1637077.
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Last, Thorsten. "Robust PQRST Complex Detection in ECG Signals." Thesis, Ulster University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485937.
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A study of computerised interpretation of the electrocardiogram (ECG) with the main focus on the pre-processing stage of beat detection is presented in this thesis. The accuracy of ECG classification and analysis is strongly dependent on the results of the beat detection process. The purpose of this research is to further improve, both in terms of accuracy and reliability, beat detection in ECG signal processing. A new concept of multi-component based beat detection is presented based on the two different approaches of cross-correlation (CC) and neural networks (NN). The performance of the two multi-component approaches is evaluated and compared with the results of two benchmarking methods: cross-correlation and non-syntactic} beat detection. In addition, a new beat detection algorithm is proposed. This approach is a combination of the two single component and the two multi-component algorithms. Additional improvements of the performance to detect the different waveform components correctly is anticipated by this new approach as it is considered to enhance the advantages of each method and offer a means to suppress their weaknesses. An ECG database containing 100 ECG signals with approximately 3000 cardiac cycles was used to measure the performance of the approaches in correctly detecting the different ECG waveform components. Results have shown the ability of achieving a 7% improvement in detecting individual waveform components when combining the four beat detection methods. Furthermore, the combined approach was able to reduce the number of incorrectly detected waveform components by a factor higher than 15. Extensive evaluation procedures were applied to validate the performance and behaviour of the approaches considering practical influences from possible environments and applications. The beat detection algorithms were evaluated based on applying two different training techniques to the methods, a patient specific and a generic approach, prior to test. Furthermore, the beat detection algorithms were evaluated based on the influence of three different noise sources. Motion artefacts, electromyographic (EMG) interference and possible baseline drifts are three of the most cornmon sources of noise present in EeG recordings. The tests were performed using varying signal to noise ratios (SNR). The presented investigations have consolidated and enhanced the work of previous investigators. These investigations have also resulted in the suggestion of a new technique for the use of beat detection approaches.
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Nolan, Jennifer M. "Feasibility of ECG gated cardiac computed tomography." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ32499.pdf.
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Singh, Swaroop Swaran Hsiao Henry. "Effectiveness of a handheld remote ECG monitor." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2006. http://dc.lib.unc.edu/u?/etd,677.
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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2006.Title from electronic title page (viewed Oct. 10, 2007). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Biomedical Engineering, School of Medicine." Discipline: Biomedical Engineering; Department/School: Medicine.
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Kesek, Milos. "Traces of Repolarization Inhomogeneity in the ECG." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-5747.
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Bahmanyar, Mohammad Reza. "Automated ECG diagnosis based on nonlinear dynamics." Thesis, Brunel University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.443537.
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Hughes, Nicholas Peter. "Probabilistic models for automated ECG interval analysis." Thesis, University of Oxford, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433475.
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Huang, Sheng-Wen, and 黃聖文. "Using embedded systems to simulate ECG signals and measure EEG & ECG signals." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/55280941914469419065.
Full textAbstract:
碩士元智大學
機械工程學系
96
The embedded system was a component made up by hardware and software. People used its special function to deal with unusual requests and customized their products. Most of them focused on computer-based system applications like electrical appliances and communications. So, we used embedded systems to capture bio-signals and develop medical instruments. This paper was used the embedded microcontroller acted as a platform which was applied to simulate ECG signals and measure EEG & ECG signals. So, we combined microcontroller with amplifier to catch EEG & ECG signals and saved them into the computer for being analyzed. Most important of all, we improved tradition ECG & EEG device defects and cost down the hardware price to make it more convenient, more lightweight, and more economical. In the other hand, we integrated microcontroller with D/A chip to develop patients simulator which could simulate different kinds of ECG signals. Besides, we corrected our device by using patient monitors and tested analysis via similarity theory to improve our hardware reality. Finally, our ECG signals were similar to original ECG signals and could be detected by patient monitor to show our waveform correctly.
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Ekramian, Elnaz, and Nergis Lali Watanwall. "ECG –measurements." Thesis, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14709.
Full textAbstract:
Context: In this project we aimed to investigate the ECG-measurement which is used to monitoring the heart activity in order to discover heart problems based on the beats and rhythms. Therefore this old technology is very popular at clinics. Objective: The purpose of this research was to find out how it is possible to maximize the accuracy of ECG-measurement by applying a differential amplifier. In fact there is a vast area to do research for this topic since it is related to human`s health improvement and will never be old or out of value. Methods: We started our work with literature review from relevant references in order to gather information about Electrocardiography, ECG, and how the function of the human heart results in electrical signals Later on we performed an experiment which was done in BTH. In the experiment we created an ECG measurement circuit, containing two OP-amplifier circuits connected as a differential amplifier with high gain.. This circuit was connected to a human body with special electrodes and the output connected to an oscilloscope. In order to record heart activity, electrodes coming from different parts of the body including the chest, wrists and ankles were connected to the inputs of the ECG measurement circuit. The signals obtained from the body are very weak to register, therefore a differential amplifier is appropriate to amplify them, and to reduce interference and noise. In our case the amplification of the ECG measurement circuit was calculated to be around 120 times, which was enough to give clear pictures on the oscilloscope. Results: Finally we could see the results of the ECG- measurement on the oscilloscope monitor which was corresponding to our heartbeats. It was easily visible that how amplifiers can effect on the measurement by comparing the results before and after reduction of interference and noise. Very important here was how well the circuit was grounded. If the circuit was grounded in a good way, this resulted in less interference and noise. Keywords: Theory for ECG, ECG-history, ECG-measurement; differential amplifier;
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Tien, Sheng-Chung, and 田勝中. "ECG Generator." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/dczjbt.
Full textAbstract:
碩士國立臺北科技大學
電資碩士班
96
As the rate of people’s suffering heart disease is getting higher and higher day by day, measuring ECG biological parameters in “Home-care system” is also common gradually. However, the price of generators which are used to test and verify and provide ECG format is not low at all. Therefore, people can’t test if the Home-care system works well or not. The researchful purpose of this system is integrating the database of all kinds of heart-diseased ECG patterns provided by MIT-BIH Association, using cross-platformed Java, and developing ECG Generators as testing and checking ECG Home-care system. Moreover, it can come out the special-diseased samples which need to be tested through making checks on present symptoms. By simple setting, users or system developers can get the sample of some disease. Besides, the system can produce power-line noise as well to let system developers test and verify if the system is normal or not by doing some simple tests. This system can produce different kinds of diseases by making checks on easy- machine interface, output them through wireless Bluetooth of cell phones or other communication interfaces and is also cross-platformed and carriageable.
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Hsieh, Tien-Chien, and 謝天健. "ECG/EEG Multi-Signal System Implemented on Mobile Devices." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/26509048476426153662.
Full textAbstract:
碩士健行科技大學
資訊工程所
101
Heart disease was one of the major causes of death in Taiwan for a long time. This situation shows that the heart disease should not be underestimated. It’s quite important to perform periodic health examinations to away from heart disease. But, it was usually inconvenient to perform periodic health examinations for the patients and the elders. Therefore, in this thesis, we proposed an ECG/EEG multi-signal system using mobile devices, we realized ECG/EEG signals capturing, long-time physiological monitoring, and then calculating the heart rate(R-R wave) and brainwave frequency(α,β,θ,δ wave). The system will auto determine the arrhythmia and brainwave status. Then, by use of mobile devices, we got the health conditions for a patient through 3G or Wi-Fi system. And then, the Electrocardiography(ECG) and Electroencephalography(EEG) signals were stored. Finally, we carry out a telemedicine system to prevent heart disease.
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Chang, Chun-Yuan, and 張淳淵. "Implementation of A Chaos-Based ECG/EEG Encryption Software." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/90040422485174638263.
Full textAbstract:
碩士國立臺灣海洋大學
電機工程學系
99
In the thesis, a chaos-based electrocardiogram (ECG) encryption software and a chaos-based electroencephalogram (EEG) encryption software are developed using Microsoft Visual Studio and C# programming. In addition, three level chaos-based encryption mechanisms are implemented for clinical ECG and EEG signals. A chaos logic map, initial value, and a bifurcation parameter of the chaos logic map are used to generate level I chaos-based encryption bit streams. A chaos logic map, initial value, a bifurcation parameter of the chaos logic map, and two encryption level parameters are used to generate level II chaos-based encryption bit streams. A chaos logic map, initial value, a bifurcation parameter of the chaos logic map, two encryption level parameters, and a permutation scheme are used to implement level III chaos-based encryption software. Several clinical ECG and EEG signals are tested, and the encryption effect is superior. When an input parameter is error with a 0.00000001% initial point error, it will lead to chaotic encryption bit streams and the ECG and EEG clinical signals will not be recovered.
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Zarei, Roozbeh. "Developing enhanced classification methods for ECG and EEG signals." Thesis, 2017. https://vuir.vu.edu.au/35028/.
Full textAbstract:
A huge amount of biomedical data such as Electrocardiography (ECG) and Electroencephalography
(EEG) signals are recorded daily from human body to assess and monitor
human performance and physiological condition. The analysis of these signals is
important for research as well as for medical diagnosis and treatment. Although ECG
and EEG signals provide useful information about the heart and brain, the classification
of these signals has not been well developed. Even now these signals are often examined
manually by physicians. Hence, there is a need for developing automatic classification
techniques that evaluate and assess these signals. This thesis presents enhanced methods
for the classification of ECG and EEG signals in three areas: the detection of premature
ventricular contraction (PVC), the identification of epileptic seizure, and the recognition
of motor imagery (MI) tasks in Brain-Computer Interface (BCI).
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Chang, Shan-chun, and 張善鈞. "Robust ECG Biometric Identification By Using Post Exercise ECG." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/03903648363440890011.
Full textAbstract:
碩士慈濟大學
醫學資訊學系碩士班
100
There are always needs for human identity authentication. No matter what kind of personal services or web services nowadays, privacy and security of personal data are essential. Because medical informatics is a fast growing area, the security of personal identity becomes very important. An efficient and safe authentication mechanism is highly focused technology for personal ID protection applications. ECG biometrics has several unique advantages, including difficulty for stealing/counterfeiting and authentication with liveness check. However, heart rate (HR) changes are the one of the most intractable problems in real-world ECG biometric applications. Currently, specific rules or patterns of ECG morphology changes according to heart rate changes are still unknown. The performance evaluations of heart rate (HR) changes of substantial ECG biometric system are lack on pervious literatures, which makes this research became more challenge. 50 people were involved in the study and total of 300 exercise ECG patterns from those subjects were collected. After combined with several methods, the recognition rates at the first 4 heart rate (HR) stages is up to 92% and overall system identification rate is up to 82%. At the end of article, the limitations will be discussed, and a possible solution is provided.
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Jain, Sanjeev Kumar. "Energy efficient ecg signal processor for wearable ecg diagnostic system." Thesis, 2016. http://localhost:8080/xmlui/handle/12345678/7213.
Full text
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HUNG, YING-HSIU, and 洪瑛秀. "Wireless Acquisition System Design for ECG, EMG, and EEG Signals." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/v78qu4.
Full textAbstract:
碩士南華大學
科技學院永續綠色科技碩士學位學程
107
In recent years, there are many body signal wearable devices, but the price is high in the market. This paper proposed a low-cost and minify Biomedical Sensing Device (BSD). The system includes: Digital Low-Dropout Regulator (D-LDO), electromyography (EMG), electrocardiography (ECG), electroencephalography (EGG) circuit, digital filtering , MCU control and display. The D-LDO is responsible for providing the BSD of the stable voltage, and then the captured signal is processed through the digital filter algorithm to processed a clearer signal in the Micro Control Unit (MCU). Finally the connected Bluetooth 4.0 Transfer instant physiological data to the Android App.
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Huang, Li-An, and 黃立安. "Development of PC-Based ECG system and Image ECG Features Extraction." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/01214174034474159870.
Full textAbstract:
碩士國立陽明大學
醫學工程研究所
94
Abstract The image electrocardiogram (ECG) display method can give an integral view in temporal evolution and spatial distribution of cardiac signals, and provide 12-lead ECG to enhance the efficacy of differentiation of the signal relativity and variation. In this research, lead II was not only applied to detect P, R, and T wave, but also served as an assistant of localization by the spatial distribution of image ECG. The function of automatic spatial location can facilitate the amateur cardiology doctors understanding the location of waves in image ECG. The automatic locator prevents user from getting lost in image ECG and simultaneously extracts the features of image ECG, which provide user friendly interface and avoid the unpredictable user-dependent factor. It facilitate doctors more easily differentiate the normal and abnormal cardiac signals. In order to discriminate the shape of waves in the image ECG, the cardiac signals can be divided based on the image ECG automatic locator in the future. In this research, the PC-based 12 lead ECG acquisition system also has been developed. This system combines the ECG analog and digital signal processing system. In order to reduce the volume, weight, and noise interference of this system, the system uses battery to provide power and fiber to transmit signals, which also facilitate the convenience and portability in clinical.
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MUNJAL, NAVEEN KUMAR. "ECG DENOISING USING THE WAVELETS AND ROBUST ANALYSIS OF ECG SIGNALS." Thesis, 2013. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15780.
Full textAbstract:
The project aims at the successful development of an algorithm to rapidly and efficiently denoising the ECG waveforms . In general, ECG signals affected by noises such as baseline wandering,power line interference, electromagnetic interference, and high frequency noises during data acquisition. In order to retain the ECG signal morphology, several researches have adopted using different preprocessing methods. I have considered the Discrete Wavelet Transform (DWT) based wavelet denoising have incorporated using different thresholding techniques to remove three major sources of noises from the acquired ECG signals namely, power line interference, baseline wandering, and high frequency noises. seven wavelet functions ("db1","coif1","rbio1.1","dmey","bior1.1","haar" and "sym1") and four different thresholding levels are used to de-noise the noise in ECG signals.The proposed algorithm in this thsis can be used for accurate and fast feature extraction from any ECG signal and for further classification into normal and abnormal signal. Our work basically includes three phases namely de-noising of the input signal, detection of peaks and finally detecting the abnormality if any present.
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Lin, Pei-Feng, and 林佩芬. "Correlation analysis between ECG and EEG signals based on signal complexity." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/05363265560635320629.
Full textAbstract:
博士國立臺灣大學
生醫電子與資訊學研究所
103
Introduction The secret of life remains extremely concealed. There are all sorts of rhythms in human bodies and they are central to life. The rhythms interact with each other as well as the outside fluctuating, noisy environment under the control of innumerable feedback systems. They provide an orderly function that enables life. The heart has been considered the source of emotional experience and wisdom in many cultures throughout the ages. Most neuroscientists consider consciousness or even thought is merely an epiphenomenon of the human brain function and its associated neurophysiology. However, the heart begins to beat before the brain is formed. Conventionally, both neural and humoral pathways connect the heart with the brain. Whether the interplay between the heart and brain could be explored through their rhythms is the question. Heart rate variability is recognized as the indicator of cardiac autonomic function. The dynamics of human electroencephalography (EEG) dynamics has been proved to be related to cognitive activities. This dissertation starts with reviewing the nonlinear methods in analyzing biological rhythms, which are multiscale, nonlinear and non-stationary. Regardless of whether chaos is present, deterministic complexity exists in biological rhythms. Regularity based complexity was chosen after comparisons. The goal is to find correlations between EEG and electrocardiography (ECG) through regularity based complexity analysis. Both simultaneous and non-simultaneous data would be examined. The experimental subjects are from a geriatric sample with varied cognitive abilities and basically healthy hearts. The electromagnetic activity of the brain works at an extremely fast speed, and the quasi-stationary epochs of EEG are, in general, short lasting, in the order of tens of seconds. Therefore symbolic techniques were introduced when exploring the very short simultaneous EEG and R-R interval (RRI) data. The origin of EEG remains unknown. Slow cortical potential (SCP), one component of EEG, is in the frequency range similar to that of the heart, and would be explored in an intuitive nonlinear way. In addition, the amplitude and instantaneous frequency of EEG would be separately approached. Methods The sample consisted of 89 geriatric outpatients in three patient groups: 38 fresh cases of vascular dementia (VD), 22 fresh cases of Alzheimer’s disease (AD) and 29 controls. Multiscale entropy (MSE) analysis was applied to the non-simultaneous EEG and RRI data. Symbolic analysis was applied to the simultaneous EEG and RRI data. Discrete events (local peaks) of EEG were extracted to separate the amplitude and instantaneous frequency. The low-to-high frequency power (LF/HF) ratio of RRI was calculated to represent sympatho-vagal balance. Results and Discussions MSE revealed correlations between the signal complexity of brain and cardiac activities in non-simultaneous data. Linear correlation between the MSE value and the score of the mini-mental state examination was first found. Symbolic dynamics failed to correlate the heart to the brain. This is due to that the RRI is too short to represent the characteristics of a subject. The symbolic analysis revealed important information that the EEG dynamics which relates to either the cognitive functions or the underlying pathologies of dementia are embedded within the dynamics of the amount of but not the interval between each synchronized firing of adjacent cerebral neurons. Just like RRI of ECG, discrete events of EEG also provided important information. The relative value of complexity does not indicate health condition straightly. It depends on the method and the scale or dimension that particular method measures. Discrete events provide no less information than continuous waveforms of EEG. Pathological condition is continuous rather than stepwise.
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Hsieh, Chih-yung, and 謝智湧. "Hand Held ECG Recorder." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/63087061837543132787.
Full textAbstract:
碩士義守大學
電機工程學系碩士班
95
The goal of this research is to establish a real-time portable ECG monitoring system, using a personal digital assistant (PDA) equipped with CompactFlash as its I/O interface. In the daily life, we can measure and monitor the electrical signal of heart during a long period of time. The content of this article is separated into two main parts, one is the realization of the hardware of the ECG, and the other is the analysis of the measured signal. Based on the single lead ECG measurement device developed by previous work, therefore, it can be applied to the PDA (Personal Digital Assistant) to realize the real time monitoring and analysis of ECG. According to lead vector theorem, the purpose of this study is to measure and record the ECG biosignal and also to warn the officer health condition. The aim of the research is to construct a portable health care assisted equipment from PDA.
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Wu, Xiu-Yi, and 吳修誼. "ECG Cyber Monitoring System." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/y88957.
Full textAbstract:
碩士國立勤益科技大學
電子工程系
106
This paper builds a Webserver under the environment of LINUX using RaspberryPi to monitor the electrocardiography (ECG) of users through the web and support pressing button for help. Doctor can connect to monitor the patient's ECG waveform when necessary. This system captures ECG signals through AD8232, and transmits the signals captured to RaspberryPi and then stores them in database. After that, it promises to browse ECG waveform and heart rate through web. Buttons will be set up on the system to support sending email, Line and SMS to family, friends or even reception for help. Users can check reservation or medication time, and record call-for-help time on the calendar, while the doctors can directly update the next revisit time through connection. Combining with medical units, this system is expected to provide remote medical services and uplift medical quality.
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KUMAR, AKHILESH. "NOISE REMOVAL IN ECG." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14949.
Full textAbstract:
This project has been inspired by the need to find an efficient method for ECG
Signal denoising using different combinations of wavelets and thresholding
techniques. In this thesis , the ECG signal was decomposed in three level
and reconstructed using different wavelet like Haar,Daubenchies,Symlet,Coiflets,
BiorSpline, Reversebior, Demyer etc. and thresholding techniques. After that
Notch Filter was applied for removing 50 Hz Power Line Noises. All the de-
Noised ECG was calculated in terms of SNR, MSE and Cross correlations and
summarized and compared the results.
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Gupta, Raviranjan. "Fetal ECG Extraction Methods." Thesis, 2015. http://ethesis.nitrkl.ac.in/7716/1/2015_Fetal_ECG_Gupta.pdf.
Full textAbstract:
The electrocardiogram signal of fetus, i.e; FECG express very clear information which helps doctors in making appropriate and timed decision during labor. The profound interest of FECG analysis is in the field of biomedical applications and clinical diagnosis. FECG is extracted from composite abdominal signals using advanced methodologies, and plays a pivotal role in automated fetal monitoring systems. In this thesis we have used various strategies and existing algorithms for FECG detection and analysis to facilitate proficient and detailed understanding of FECG and its role in monitoring of fetus. A comparison has been drawn to show the accuracy and performance of methods used for FECG signal analysis. Additionally, this thesis also throws some light on the hardware implementation for heart rate monitoring of the fetus. This paper clearly opens up a section for analysts, doctors, and end clients to promoter a superb comprehension of FECG sign and its investigation systems for observing framework for fetal heart rate .
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Chou, Shang-Chi, and 周尚齊. "The Non-linear Method of Deriving 12-Lead ECG from 3-Lead ECG." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/26500563748101112877.
Full textAbstract:
碩士中原大學
生物醫學工程研究所
98
Inferring accurately the standard 12-lead ECG with less leads should be the future trend, but ECG based on inferring, if interfered, may have a greater impact on inferring a multiple lead ECG waveform. For most patients, the derived 12-lead ECG from the use of fixed coefficients may be very close to the standard 12-lead ECG, but for others, the two results may be greatly different. Therefore, in terms of the derived ECG, how to design a precise algorithm and reduce the individual differences is a very important issue. The main purpose of this study was to use the global search characteristics of genetic algorithm to process weighting optimization of the neural network, as a method of three lead ECG inferring 12-lead ECG nonlinear. After optimizing the neural network, the database from PTB 249 patients (including: myocardial infarction, cardiomyopathy, heart failure, bundle branch block, arrhythmia, cardiac hypertrophy, valvular heart disease, myocarditis and so on ), which were divided into a total of 549 groups of fifteen-lead ECG, were inferred and verified. The results were compared with those inferred by the multiple linear regression and commission machine. The results showed that the neural network after optimization surpassed the multiple linear regression method in terms of the two indicators: root mean square error and correlation coefficient (root mean square error of neural network after optimizing genetic algorithm: 0.073 ± 0.04, correlation coefficient: 0.898 ± 0.043; root mean square error of multiple linear regression: 0.083 ± 0.05, correlation coefficient: 0.858 ± 0.066). Also, when compared with the neural network commonly used to improve the generalization ability, the results were close (root mean square error of commission machine : 0.073 ± 0.039, correlation coefficient: 0.895 ± 0.047), but the computation time was significantly shorter (when members of the commission were increasing, the gap between the computing time was more obvious). This indicated that the method proposed by the study indeed could infer a satisfactory standard 12-lead ECG by using the three lead. The method could be applied to the future design of immediate cardiograph systems for home nursing.
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Panigrahy, Damodar. "Extraction of Fetal ECG Signal from the Single Channel Abdominal ECG Signal Recording." Thesis, 2018. http://ethesis.nitrkl.ac.in/9793/1/2018_PHD_DPanigrahy_513EE1007_Extraction.pdf.
Full textAbstract:
The popular technique used for detection of fetal heart rate before delivery is Fetal
Electrocardiogram (FECG). It shows the muscular function and electrical activity of the
fetus heart. It represents the characteristics such as dynamic behaviors, waveform and
heart rate of the fetus. These characteristics help to determine the fetal development,
the existence of fetal distress, fetal life, fetal maturity or congenital heart disease. These
above characteristics help the doctors for appropriate treatment during pregnancy. The
heart rate of the fetus can easily be detected after estimation of the fetal ECG signal
from the abdominal ECG signal. The abdominal ECG signal is collected by placing
electrode at the abdomen area of the mother. The abdominal ECG signal contains fetal
ECG signal, maternal ECG component, and noise. To estimate the fetal ECG signal
from the abdominal ECG signal, removal of the noise and the maternal ECG component
presented in it is very much necessary.
Maternal ECG component is the dominant part of the abdominal ECG signal. To
remove the maternal ECG component present in the abdominal ECG signal, accurate
detection of the maternal R peaks from the abdominal ECG signal is required. An
efficient R peak detection technique is required for the detection of accurate maternal
R peaks from the abdominal ECG signal and the accurate detection of R peaks of the
extracted fetal ECG signal as well. So that heart rate of the fetus can be computed.
However, almost all existing R peak detectors suffer due to the non-stationary behavior
of both QRS morphology and noise. To overcome these difficulties, we have proposed
a three-stage improved method to detect R peaks based on Shannon energy envelope.
The proposed R peak detection method in this dissertation shows improved performance
compared to other existing methods available in the literature.
In the recent years, Extended Kalman Smoother (EKS) has been used and has
shown good performance for extraction of the fetal ECG signal from the single channel
abdominal ECG signal. But the limitation of this method is that it fails to extract fetal
QRS complex if it is overlapped by the maternal QRS complex in the abdominal ECG
signal. The method also sometimes requires operator’s interaction to initialize the
parameter of EKS to extract the fetal ECG signal which is dependent on abdominal
ECG signal for better performance. Author of this thesis has investigated the
effectiveness of Adaptive Neuro-Fuzzy Inference System (ANFIS) with EKS for
extraction of the fetal ECG signal using single channel abdominal ECG signal. The
EKS with ANFIS method proposed in this work for fetal ECG extraction is found to
detect fetal QRS complex even if it is overlapped by the maternal QRS complex in the
abdominal ECG signal. In the EKS with ANFIS framework, proposed Shannon energy
based R peak detection is used for detection of the maternal R peaks from the
abdominal ECG signal.
The EKS filtering framework for denoising purpose requires operator’s interaction.
To avoid the operator’s interaction and also to provide better performance using EKS
framework, author has investigated the effectiveness of the Extended Kalman Smoother
(EKS) with the Differential Evolution (DE) technique for noise cancellation of the ECG
signal. DE is used as an automatic parameter selection method for the selection of
10 optimized parameters of the ECG signal, and these are used to create the ECG
signal according to the real ECG signal. Also, these parameters are used in the EKS
algorithm for the development of the state equation and initialization of the parameters
of the EKS. The EKS framework is used for denoising of the ECG signal from the single
channel recording. The effectiveness of the proposed noise cancellation technique has
been evaluated by adding white, colored Gaussian noise and real muscle artifact noise
at different SNR to some visually clean ECG signals from the MIT-BIH arrhythmia
database. The proposed noise cancellation technique of ECG signal shows better Signal
to Noise Ratio (SNR) improvement, lesser Mean Square Error (MSE) and Percent of
Root mean square Distortion (PRD) compared to other well-known methods.
Finally, the author has proposed a five-stage based methodology for further
improvement of extracted FECG from the single channel abdominal ECG using DE
algorithm, EKS and ANFIS framework. The pre-processing stage is used to remove the
noise from the abdominal ECG signal and the EKS framework is used to estimate the
maternal ECG signal from the abdominal ECG signal. The optimized parameters of
the maternal ECG component (signal) are required to develop the state and
measurement equation of the EKS framework and the same are selected by the DE
algorithm. The relationship between the maternal ECG signal and the available
maternal ECG component in the abdominal ECG signal is nonlinear. To estimate the
actual maternal ECG component present in the abdominal ECG signal and also to
recognize this nonlinear relationship, the ANFIS is used. Inputs to the ANFIS
framework are output of the EKS and the pre-processed abdominal ECG signal. The
fetal ECG signal is computed by subtracting output of the ANFIS from the
pre-processed abdominal ECG signal. Non-invasive fetal ECG database and set A of
2013 physionet/computing in cardiology challenge database (PCDB) are used for
validation of the proposed methodology.
This thesis also describes a Field Programmable Gate Array (FPGA)
implementation of a heart rate calculation system using Electrocardiogram (ECG)
signal. The proposed FPGA based heart calculation system is FPGA implementation
of proposed R peak detection technique based on Shannon energy envelope with a little
modification. After heart rate calculation, tachycardia, bradycardia or normal heart
rate can easily be detected. Heart rate is calculated by detecting the R peaks from the
ECG signal. To provide a portable and the continuous heart rate monitoring system
for patients needs a dedicated hardware. FPGA provides easy testability, allows faster
implementation and verification option for implementing a new design. We have
proposed a five-stage based methodology by using basic VHDL blocks like addition,
multiplication and data conversion (real to the fixed point and vice-versa) etc for our
proposed design. The proposed FPGA based heart rate calculation (R-peak detection)
method shows better performance compared to other well-known methods for detection
of R peaks (heart rate calculation) and successfully implemented in FPGA.
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Huang, Wei-Chih, and 黃韋智. "A Low Noise EEG /ECG Signal Readout Frond-End and An ECG Motion Artifact Analog Detector for Telemedicine Mobile Biomedical Signal Acquisition Systems." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/05585055291834087893.
Full textAbstract:
碩士國立清華大學
電機工程學系
101
In modern clinical practice, monitoring of biomedical signals is a crucial and important part. The biomedical signals most commonly used in medical diagnoses include EEG, ECG and EMG, etc. Therefore, there is a growing demand for small-size portable biomedical signal acquisition systems to improve the patients’ quality of life. The low noise biomedical signal readout frond-end consists of a chopper current-balancing instrumentation amplifier (CCBIA), a small Gm-C low pass filter, and a programmable gain amplifier. The CCBIA utilizes the chopper stabilization to reduce the flicker noise and amplifiers the low amplitude biomedical signals. The common mode rejection ratio (CMRR) is also the important specification because there are Electromagnetic Interference (EMI) and Electrostatic Field Interference (EFI) when measuring biomedical signals. Behind the CCBIA, a low-pass filter is needed to reduce the out-of-band noise higher than the biomedical signal of interest, and the programmable gain amplifier is used to avoid the output signal to be saturated. The analog ECG motion artifact detector is proposed to save the power consumption of motion artifact reduction in DSP. The article is fabricated by TSMC 90nm CMOS process. The measurement results shows that the readout frond-end achieves 107dB CMRR, the gain and the bandwidth are tunable for EEG and ECG, integrated input-referred noises are only 1.06 μVrms and 1.64 μVrms within EEG and ECG signal bandwidth. The ECG motion artifact analog detector can detect the skin-electrode impedance variation and the ECG signal variation successfully. The total power consumption is 22.17 μW.
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Chiu, Shao-Yu, and 邱少禹. "Extraction of ECG, EGG and respiratory signal from single composite abdominal signal." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/60950518097141706285.
Full textAbstract:
碩士國立臺灣大學
醫學工程學研究所
97
The lack of integrated bio-signal detection instruments made monitor patients’ multiple physiology parameters rather complicated in the past. Many electrodes need be applied to the body surface at the same time. Those recording devices may have interference with by each other. In addition, patients at home may have sudden attack of discomfort, an easy implemented device that can record a variety of essential physiological signals through simple operation will be extremely helpful. These signals can also be transferred through the network to health care specialists. For above purposes, we implemented a portable device using few electrodes on abdominal wall to measure various patients’ electrophysiology signals simultaneously. The signals were acquisited through three electrodes placed on abdomen wall and were separated into Electrocardiogram (ECG), Electrogastrogram (EGG) and respiratory rhythm according to their individual rhythmic characters. In this thesis, it set up a combinatory ECG, EGG and respiratory signal system which includes the hardware for data acquisition and storage. In ECG signal processing, dynamic window with the baseline wandering fitting algorithm was noted to solve the drifting problem caused by respiration. The validation of our combinatory monitoring system was verified by synchronous recording using commercial available individual system. Good ECG correlation was demonstrated in 17 subjects in a long duration (1 hour) or short time (5 minutes) analysis. In EGG signal processing, a special designed electrode was used to ensure simultaneously recording. In a 10 subjects study, a long duration (1 hour) or short time(20 minutes) analysis are both show good correlation. The respiratory signal component was verified by twice down-sampling processing and the usage of twice filtering. A good respiratory signal correlation was demonstrated in 10 subjects. In brief. We had set up a system which can accurately record three sets of physiological signals with three electrodes on upper abdomen. High frequency high amplitude ECG signals and low frequency low amplitude ECG signals in accompany with respiratory movement signal can be simultaneously recorded. The mixed tracing can then be separated according to their characteristics. This simple design is very user friendly and can be applied to ambulatory physiological monitoring especially for the purpose of symptom correlation.
46
Chua, Ericson Go, and 李鴻溝. "Integrated DOT/ECG/EEG Multiprocessor Design for Portable Brain-Heart Monitoring Systems." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/84964269712694269005.
Full textAbstract:
碩士國立交通大學
電機資訊國際學位學程
100
In the recent decade, the accelerated emergence of an aged population alongside increased medical costs has been recognized as a worldwide problem. Whereas a shortage in medical personnel will leave the healthcare system unable to meet the requirements of a growing number of elderly patients, even more will be deprived of access to quality healthcare due to the high costs of diagnosis and treatment. As a result, in recent years, the field of biomedical engineering has emerged as a top priority research and development topic. In response to the needs of healthcare monitoring applications in particular emergency care, long-term observation and cognitive science, we propose the development of an integrated brain-heart monitoring system and provide a demonstration platform as a proof of concept for future works and development along this topic. The motivation of this work is threefold; first is to improve patient experience by means of a portable biomedical device; second, to reduce overall system costs associated with the equipment, operations, logistics and management in both hospital and home care settings; and third, to pave the way for new research directions relating to brain-heart monitoring applications. In this thesis, we present the development of a biomedical signal multiprocessor comprising a novel diffuse optical tomography (DOT) processor for brain imaging, an independent component analysis (ICA) processor for removing electroencephalogram (EEG) signal artifacts, and a heart rate variability (HRV) analysis processor for monitoring electrocardiogram (ECG) signals. Furthermore, in order to reduce power consumption and prolong operating time, a lossless data compressor is employed to reduce bandwidth requirements during wireless transmission of biomedical data. The multiprocessor design is implemented both as an AHB-compatible IP for ARM-based SOCs on a Xilinx FPGA and as an IC fabricated using UMC 65nm CMOS technology. To demonstrate the functionality and real-time application of the developed multiprocessor design, a complete, end-to-end brain-heart monitoring system platform employing the SoC-based implementation is presented. EEG, ECG and/or functional near infrared (fNIR) signals acquired by an analog front-end IC are processed or bypassed by the biomedical multiprocessor depending on configuration commands sent wirelessly from a remote science station. Processed or raw biomedical data optionally compressed by a lossless data compressor are packaged according to a fixed output data format and finally sent back to the remote science station for real-time LCD display, data storage, or further off-line processing and analysis.
47
Lin, Yi-Tien, and 林以恬. "Cybersickness Assessment Using EEG and ECG for Virtual Reality Head-Mounted Display." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/b6khvc.
Full textAbstract:
碩士國立交通大學
光電工程研究所
106
Virtual reality (VR) is a popular display nowadays, and it is likely to become the future trend. However, most users suffer from cybersickness while using VR. This problem reduces the quality of VR experience and makes VR create a safety concern. Cybersickness becomes a critical problem of VR applications. Therefore, this study aimed to find an objective method to quantize cybersickness level using the bio-signals, including electroencephalogram (EEG) and electrocardiography (ECG). Comparing with the real time subjective cybersickness score, we found the change tendency and variation of bio-signals in the cybersickness condition to quantize the cybersickness level by the bio-signals. These results demonstrated a higher level of cybersickness caused power of EEG gamma band (>31Hz) stronger and enhanced subjects’ heart rate as well. In addition, the P300 amplitude from event-related potential (ERP) waveform decreased after VR watching because cybersickness happened. There is a significant difference between sickness data and no sickness data (p<0.01) for three kinds of bio-signals. Therefore, the variations of these bio-signals could be an indicator to quantize people’s cybersickness level. What’s more, we scaled the gamma band and heart rate variation into three kinds of physical conditions to help us develop a warning system for VR devices in the future.
48
Chen, CHI-HE, and 陳麒合. "Fetal ECG Extraction and Analysis from Composite Maternal ECG using an Adaptive Noise Canceller." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/66112000204508241649.
Full textAbstract:
碩士亞洲大學
生物資訊學系碩士班
99
Electorcardiography (ECG) is one of the best ways to measure and diagnose abnormal rhythms of the heart. Its noninvasive nature is especially beneficial for diagnosis of fetal heart defects in advance of delivery. However, there is no appropriate method for noninvasively measuring the fetal ECGs. In this study, we propose a method to cancel noise and drifting and further to extract fetal ECG effectively by an adaptive filter from maternal abdomen and thorax ECGs. In addition, an integrated analysis software, Fetal ECG Analysis Environment (FEAE), for fetal ECG signal extraction and evaluation using the proposed method is designed and implemented in MATLAB GUIDE environment for future study.
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Hsu, Chih-Hao, and 許智皓. "Robust Signal Synthesis of the 12-Lead ECG using 3-Lead Wireless ECG Systems." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/71170083892439404522.
Full textAbstract:
碩士國立交通大學
電信工程研究所
102
A body area network is developed for a 3-Lead wireless electrocardiography (ECG) monitoring system. To measure the 3-Lead ECG signals without using wires for electrodes to connect to a common ground, we study a new ECG sensing method that directly and synchronously measures the voltage differences across the nearby electrodes of distributed ECG leads. Due to all cardiologists are well-trained and used to diagnose the symptoms of heart diseases with the standard 12-lead ECG,then a new signal synthesis and tracking method is developed for a 3-Lead wireless electrocardiography (ECG) system. Exploiting the temporal correlations in ECG signals, the standard 12-lead ECG signals can be synthesized with high precision by using only three differential pairs of electrodes. The correlations between the original and synthesized ECG leads can be as high as 0.98. And the separation between the two electrodes of a pair can be drastically reduced to around 10 cm, which is about the size of a medium adhesive tape. Experiment results also show that the proposed ECG synthesis method is much more robust to variations in acquisition positions when taking into account the spatial correlations among the ECG leads in syntheses. This greatly improves the feasibility of using fully wireless ECG systems on the long-term monitoring and diagnosis of heart diseases. We propose a candidate electrode positions , ($V1-V2$), ($V3-V4$), and ($V5-V6$), from the typical acquisition positions of the standard 12-lead ECG system. Besides, we also propose the other electrode positions by analyzing the measurement data form ten subjects of NCTU as well as the four data sets in MIT-BIH database.
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Hsieh, Ming Hung, and 謝明宏. "A portable ECG and body acceleration measurement device and exercise intensity-related ECG analysis." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/93454238530731369644.
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