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Dissertations / Theses on the topic 'Electrocardiogram'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Aston, R., and Jean Croce Hemphill. "The Electrocardiogram." Digital Commons @ East Tennessee State University, 1994. https://dc.etsu.edu/etsu-works/7572.

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2

Mahrousa, Zakria Zaki. "Computerised electrocardiogram classification." Thesis, Cardiff University, 2004. http://orca.cf.ac.uk/55932/.

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Advances in computing have resulted in many engineering processes being automated. Electrocardiogram (ECG) classification is one such process. The analysis of ECGs can benefit from the wide availability and power of modern computers. This study presents the usage of computer technology in the field of computerised ECG classification. Computerised electrocardiogram classification can help to reduce healthcare costs by enabling suitably equipped general practitioners to refer to hospital only those people with serious heart problems. Computerised ECG classification can also be very useful in sho

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3

Marques, Jefferson Luiz Brum. "High-resolution electrocardiogram analysis." Thesis, University of Sheffield, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263558.

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4

Mihailovici, Manuela. "Statistical analysis of electrocardiogram data." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=22860.

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An overview of the statistical procedures used in the analysis of electrocardiogram traces is presented in this thesis.<br>The purpose of these procedures is twofold: (i) they may suggest underlying mechanisms that influence heart rate (ii) they may be used as a means of classifying one or more patients into disease categories, by using objective criteria rather than the subjective approaches prevalent in current practice.<br>In an attempt to apply the methods discussed in this thesis, a selected group of patients was analyzed using spectral analysis.<br>Lack of information and of control of t

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5

Abrishami, Hedayat. "Deep Learning Based Electrocardiogram Delineation." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563525992210273.

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6

Jiménez-Pérez, Guillermo. "Deep learning and unsupervised machine learning for the quantification and interpretation of electrocardiographic signals." Doctoral thesis, Universitat Pompeu Fabra, 2022. http://hdl.handle.net/10803/673555.

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Las señales electrocardiográficas, ya sea adquiridas en la piel del paciente (electrocardiogamas de superficie, ECG) o de forma invasiva mediante cateterismo (electrocardiogramas intracavitarios, iECG) ayudan a explorar la condición y función cardíacas del paciente, dada su capacidad para representar la actividad eléctrica del corazón. Sin embargo, la interpretación de las señales de ECG e iECG es una tarea difícil que requiere años de experiencia, con criterios diagnósticos complejos para personal clínico no especialista, que en muchos casos deben ser interpretados durante situaciones

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7

Dong, Cheng. "Electrocardiogram parameter extract and analysis system." Thesis, University of Macau, 2011. http://umaclib3.umac.mo/record=b2549897.

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8

Crittenden, Mark E. "Real-time intrapartum fetal electrocardiogram analysis." Thesis, University of Nottingham, 1997. http://eprints.nottingham.ac.uk/27969/.

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The research within this thesis concerns the monitoring of the fetus during labour, using the fetal electrocardiogram (FECG). A versatile FECG analysis system was developed for the Microsoft Windows environment, to allow various FECG parameters to be extracted. Algorithms, currently used in other FECG analysis systems, were implemented using Object Oriented Programming, thus allowing new algorithms to be easily added at a later stage. Although these current algorithms have been demonstrated by several authors, it was felt that they had been used with only partial investigation of their limitat

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9

Peasgood, William. "Enhancement of the abdominal fetal electrocardiogram." Thesis, University of Nottingham, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335851.

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10

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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11

Santos, Vanessa Cordeiro. "Equine exercise electrocardiogram : standardized lungeing test." Master's thesis, Universidade de Lisboa, Faculdade de Medicina Veterinária, 2016. http://hdl.handle.net/10400.5/11922.

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Dissertação de Mestrado Integrado em Medicina Veterinária<br>Cardiovascular lesions are common in horses, but these lesion are often minor and well tolerated by the horses. However, some cardiovascular lesions can become clinically significant, manifesting as poor performance or even exercise intolerance, arrhythmia, weakness, systemic infection, congestive heart failure, or sudden death. (Bonagura & Reef, 2004) Arrhythmias may cause uncertainty to the equine practitioner especially when diagnosed in resting animals. They must be distinguished as being normal due to variations in autonomic to

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12

Burkhardt, Brian. "THE FUTURE OF ELECTROCARDIOGRAPH TELEMETRY SYSTEMS." International Foundation for Telemetering, 2004. http://hdl.handle.net/10150/605770.

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International Telemetering Conference Proceedings / October 18-21, 2004 / Town & Country Resort, San Diego, California<br>The Electrocardiograph (EKG or ECG) measures electrical changes of tissue surrounding the heart to create a time-based representation of the physical operation of the heart. The purpose of this paper is to explore the future of ECG telemetry systems and how they are used in health care. The initial goal is to develop an inexpensive, efficient, and robust real-time ECG telemetry system. The future goal is to create a wireless network of miniature body sensors capable of meas

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13

Tanriverdi, Volkan. "Removal Of Baseline Wandering From The Electrocardiogram." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607687/index.pdf.

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ECG measures electrical potentials on the body surface via contact electrodes. Conditions such as movement of the patient, breathing, and interaction between the electrodes and skin cause baseline wandering of the ECG signal. Baseline wandering noise can mask some important features of the ECG signal<br>hence it is desirable to remove this noise for proper analysis of the ECG signal. This study includes an implementation and evaluation of methods to remove this noise, such as finite impulse response filters, infinite impulse response filters, interpolation filters and adaptive filters. These

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14

Outram, Nicholas John. "Intelligent pattern analysis of the foetal electrocardiogram." Thesis, University of Plymouth, 1998. http://hdl.handle.net/10026.1/2601.

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The aim of the project on which this thesis is based is to develop reliable techniques for foetal electrocardiogram (ECG) based monitoring, to reduce incidents of unnecessary medical intervention and foetal injury during labour. World-wide electronic foetal monitoring is based almost entirely on the cardiotocogram (CTG), which is a continuous display of the foetal heart rate (FHR) pattern together with the contraction of the womb. Despite the widespread use of the CTG, there is no significant improvement in foetal outcome. In the UK alone it is estimated that birth related negligence claims co

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15

Toll, Maria. "Wireless electrocardiogram based on ultra-wideband communications." Thesis, Uppsala universitet, Signaler och System, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-382015.

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The goal for this master thesis is to develop a prototype that uses ultra-wideband (UWB) communications to wirelessly transfer electrocardiogram (ECG) data from an ECG measurement unit to an Android device (smartphone or similar) which is used to process and display the ECG signals. The prototype should consist of two hardware nodes; (1) Node one having a ECG measurement unit (an AD8232 single lead heart rate monitor), an UWB communication module (a Decawave DWM1000 module) and a microcontroller (an Arduino DUE); and (2) Node two having an Android device (an Android smartphone), an UWB communi

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16

Oh, Sungho. "A new quality measure in electrocardiogram signal." [Gainesville, Fla.] : University of Florida, 2004. http://purl.fcla.edu/fcla/etd/UFE0007281.

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17

Guerreiro, Carlota Graça Valente Torres. "Electrocardiografia clínica em canídeos : estudo retrospectivo de 118 casos." Bachelor's thesis, Universidade Técnica de Lisboa. Faculdade de Medicina Veterinária, 2009. http://hdl.handle.net/10400.5/1244.

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Dissertação de Mestrado Integrado em Medicina Veterinária<br>Com base no estágio curricular realizado no Instituto Veterinário do Parque, apresenta-se esta Dissertação de Mestrado Integrado em Medicina Veterinária, que tem como tema a Electrocardiografia Clínica em Canídeos. Por ter sido possível, durante o referido estágio, acompanhar uma elevada casuística da especialidade de Cardiologia e, pelo facto de as alterações electrocardiográficas e do ritmo cardíaco constituírem condições de extrema importância, muitas vezes subvalorizadas, decidiu-se abordar este tema de uma forma mais porme

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18

Weir, D. K. "Pattern recognition of electrocardiograms." Thesis, University of Ulster, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.355922.

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19

Junttila, J. (Juhani). "Characteristics of subjects with Brugada syndrome type electrocardiogram." Doctoral thesis, University of Oulu, 2008. http://urn.fi/urn:isbn:9789514287701.

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Abstract Brugada syndrome is an inherited arrhythmia disorder that predisposes to sudden cardiac death. It is characterized by its distinct ECG pattern. The purpose of this thesis was to study the phenotype and genotype characteristics of subjects with Brugada syndrome type ECG. The first study population consisted of 2479 young male Air Force applicants and 542 healthy middle-aged subjects. The 12-lead ECG was analyzed to assess the prevalence and prognosis of Brugada pattern in Finnish population. The second population consisted of 168 patients with AF. The ECGs of the patients with family

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20

Boothroyd, Lucy Jane. "The prehospital electrocardiogram in suspected acute coronary syndrome." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=94932.

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Acute coronary syndrome (unstable angina and myocardial infarction) is associated most often with a narrowed coronary artery, leading to inadequate blood perfusion (ischemia) of cardiac muscle. Timely diagnosis and treatment is important. For acute myocardial infarction with an elevated ST-segment (STEMI) on an electrocardiogram (ECG), rapid reperfusion therapy is critical for survival. Prehospital ECG strategies are being implemented across Quebec to reduce STEMI treatment delay, but ambulance personnel in this province are not permitted to interpret ECGs. The objectives of this thesis were (

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21

Delano, Margaret K. "A long term wearable electrocardiogram (ECG) measurement system." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/76811.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (p. 101-102).<br>In this thesis, a low-power, wearable monitoring system was developed from discrete electronic components and custom PCBs. The device was designed to maximize comfort and minimize the footprint on the user. A single le

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Flink, Oskar. "Wireless electrocardiogram transmission based on ultra wideband radio." Thesis, Uppsala universitet, Signaler och System, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-352454.

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Ultra wideband (UWB) communications has been a subject of much discussion over the last decade. The method of UWB has had a hard time to establish itself among other methods such as Bluetooth and WiFi but as internet of things (IoT) gains a foothold in our daily lives, UWB has presented some new application areas. These application areas are, among other things, self driving cars, energy efficient data transfer, health care applications, sensor networks and real time location systems. This project aims to use UWB communications to real-world applications, specifically, electrocardiography (ECG

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23

Gonçalves, Bernardo Nunes. "An ontological theory of the electrocardiogram with applications." Universidade Federal do Espírito Santo, 2009. http://repositorio.ufes.br/handle/10/6409.

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Made available in DSpace on 2016-12-23T14:33:46Z (GMT). No. of bitstreams: 1 Dissertacao de Bernardo Nunes Goncalves.pdf: 2977057 bytes, checksum: 91c4900f7fa617b248afcbef29b0193d (MD5) Previous issue date: 2009-05-13<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>The fields of Medical- and Bio-informatics are bearing witness of the application of the discipline of Formal Ontology to the representation of biomedical entities and (re-)organization of medical terminologies also in view of advancing electronic health records (EHR). In this context, the electrocardiogram (ECG)

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24

Eilevstjønn, Joar. "Removal of Cardiopulmonary Resuscitation Artifacts in the Human Electrocardiogram." Doctoral thesis, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, 2004. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-314.

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<p>Death from heart diseases is the most common type of mortality in western countries and the survival rate of cardiac arrest is dismally low. In the treatment of cardiac arrest, two therapeutic methods are most important: cardiopulmonary resuscitation (CPR; chest compressions and ventilations) and defibrillation (electrical shocks to restart a fibrillating heart).</p><p>An automated external defibrillator is commonly used for such shocks, and records and performs signal analysis on the electrocardiogram(ECG) in order to advice when to shock the patient. However, the mechanical activity duri

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25

Parra, Luis 1972. "Design of an electrocardiogram machine using a personal computer." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/47506.

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26

Doerschuk, Peter Charles. "A Markov chain approach to electrocardiogram modeling and analysis." Thesis, Massachusetts Institute of Technology, 1985. http://hdl.handle.net/1721.1/15224.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1985.<br>MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING.<br>Bibliography: leaves 393-401.<br>by Peter Charles Doerschuk.<br>Ph.D.

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27

Woodcock, Dan. "A novel entropy measure for analysis of the electrocardiogram." Thesis, Aston University, 2007. http://publications.aston.ac.uk/10681/.

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There has been much recent research into extracting useful diagnostic features from the electrocardiogram with numerous studies claiming impressive results. However, the robustness and consistency of the methods employed in these studies is rarely, if ever, mentioned. Hence, we propose two new methods; a biologically motivated time series derived from consecutive P-wave durations, and a mathematically motivated regularity measure. We investigate the robustness of these two methods when compared with current corresponding methods. We find that the new time series performs admirably as a complim

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Wu, Chien-Wei, and 吳健瑋. "Adaptive Maternal Electrocardiogram Suppression for Fetal Electrocardiogram Extraction." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/30941193901912471556.

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碩士<br>國立臺灣大學<br>生醫電子與資訊學研究所<br>98<br>Representing the electrical activity of the cardiac, electrocardiogram (ECG) is a common non-invasive technique for diagnosing heart diseases in a clinical environment. By way of analyzing ECG the patient’s physiological and psychological information can be obtained and offered to medical personnel. Similarly, the health condition of the fetus can be acquired as well through analyzing fetal electrocardiogram (FECG) because the characterization of the FECG is the same as that of the adult ECG. The FECG is derived from cutaneous electrodes placed on the pregn

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Lan, Ting Yu, and 藍婷昱. "Digitization of paper electrocardiogram." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/u26xkv.

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碩士<br>中原大學<br>生物醫學工程研究所<br>105<br>Most modern electrocardiographs can store electrocardiograms in memory and printing them out in paper. However, many electrocardiograms are still in paper format kept in old patient records. These electrocardiograms are valuable information for medical research and training because they already have been diagnosed and marked by specialists. Many of these old electrocardiogram were drawn on thermal paper and seriously fading. They are very difficult to be digitized automatically using image processing technique. In this study, a procedure was taken to trace the

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Lin, Shiuh-Jong, and 林旭中. "ECG (ElectroCardioGram) arrhythmia diagnostic system." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/32383028618279334831.

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31

Panda, Rashmi. "Removal of artifacts from electrocardiogram." Thesis, 2012. http://ethesis.nitrkl.ac.in/4122/1/Rashmi_Thesis.pdf.

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The electrocardiogram is the recording of the electrical potential of heart versus time. The analysis of ECG signal has great importance in the detection of cardiac abnormalities. The electrocardiographic signals are often contaminated by noise from diverse sources. Noises that commonly disturb the basic electrocardiogram are power line interference, instrumentation noise, external electromagnetic field interference, noise due to random body movements and respirational movements. These noises can be classified according to their frequency content. It is essential to reduce these disturbances i

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Raj, Jyotiranjan, and Ajit Kumar Sahu. "Fetal electrocardiogram extraction and analysis." Thesis, 2014. http://ethesis.nitrkl.ac.in/6490/1/110EC0180-8.pdf.

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Diagnosis of mother’s and child’s heart beat is very necessary during pregnancy and hence we use Fetal electrocardiogram (FECG) extraction for the same. The signal contains precise informations that can help doctors during pregnancy and labor. In this thesis, an easy-to use method has been implemented using adaptive noise canceller (ANC). Using the ANC, an effective algorithm has been proposed. The algorithm uses ANC, Least Mean Square (LMS) method and a Simulink model for the extraction of FECG. The FECG extraction method has been implemented using an algorithm implemented on MATLAB using Sim

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Chaturvedi, Jalaj. "Electrocardiogram Signal Compression and Decompression." Thesis, 2015. http://ethesis.nitrkl.ac.in/7340/1/2015_Electrocardiogram_Chaturvedi.pdf.

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Electrocardiogram is a method of recording the heartbeat of a patient electronically. Quicker transmission of electrocardiogram signals through channels like across wireless networks, telephone networks, hospital networks is not possible without compressing them. Here I implement an algorithm for ECG (electrocardiogram) signal compression based on Delta Coding and LZW (Lempel–Ziv–Welch) encoding. To carry out compression, real time ECG data has been recorded through EKG sensors and Labview. Since the recorded signal was analogue it was first converted to digital by applying Savitzky Golay Filt

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34

Agrafioti, Foteini. "Robust Subject Recognition Using the Electrocardiogram." Thesis, 2008. http://hdl.handle.net/1807/11131.

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This thesis studies the applicability of the electrocardiogram signal (ECG) as a biometric. There is strong evidence that heart's electrical activity embeds highly distinctive characteristics, suitable for applications such as the recognition of human subjects. Such systems traditionally provide two modes of functionality, identification and authentication; frameworks for subject recognition are herein proposed and analyzed in both scenarios. As in most pattern recognition problems, the probability of mis-classification error decreases as more learning information becomes available. Thus, a

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Guo, Chin-yuan, and 郭晉源. "Studies in the electrocardiogram monitoring indices." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/11424197380605357957.

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碩士<br>國立中山大學<br>應用數學系研究所<br>92<br>An recent finding shows that heart rate data possess self-similar property, which is characterized by a parameter H, as well as a long range dependent parameter d. We estimate H by the EBP(Embedded Branching Process) method to derive the fractional parameter d in the first part. The heart rate and R-R interval data are found to have high differencing parameter(d=0.8 ~0.9) and against the normality assumption. Thus the heart rate and R-R interval data are first fractionally differenced of order 0.5 to achieve stationarity. In the second part, we analyze the RR-

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36

"Wireless electrode for electrocardiogram (ECG) signal." 1999. http://library.cuhk.edu.hk/record=b5890078.

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by Leung Sze-wing.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 1999.<br>Includes bibliographical references (leaves 79-84).<br>Abstracts in English and Chinese.<br>ACKNOWLEDGEMENT --- p.II<br>ABSTRACT --- p.III<br>摘要 --- p.V<br>CONTENTS --- p.VI<br>Chapter CHAPTER 1 --- INTRODUCTION --- p.1<br>Chapter 1.1 --- Objectives --- p.1<br>Chapter 1.2 --- Prevalence of Heart Diseases --- p.1<br>Chapter 1.3 --- Importance of ECG Monitoring --- p.2<br>Chapter 1.4 --- Wireless Electrode --- p.2<br>Chapter 1.5 --- Analogue-to-Digital Converters --- p.3<br>Chapter 1.6 --- Organizatio

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Dai, Yu-Jhih, and 戴育志. "An Intelligent Electrocardiogram Remote Monitoring System." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/59438267610304224186.

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碩士<br>國立中央大學<br>電機工程研究所<br>98<br>According to statistical report from Department of Health in Taiwan , heart disease has been ranked as the 2nd leading cause of death. Cardiac arrest in out-of-hospital patients usually causes a worse survival rate (2-8%) due to its unpredictability and inappropriate first aid. Furthermore, studies have shown that rescuers often make a mistake when checking the carotid pulse in an emergency, whether they are healthcare professionals or lay persons.Therefore, a personal-care system for real-time ECG monitori

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Amin, Gamal El Din Fathy. "Respiratory Information Extraction from Electrocardiogram Signals." Thesis, 2010. http://hdl.handle.net/10754/133969.

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The Electrocardiogram (ECG) is a tool measuring the electrical activity of the heart, and it is extensively used for diagnosis and monitoring of heart diseases. The ECG signal reflects not only the heart activity but also many other physiological processes. The respiratory activity is a prominent process that affects the ECG signal due to the close proximity of the heart and the lungs. In this thesis, several methods for the extraction of respiratory process information from the ECG signal are presented. These methods allow an estimation of the lung volume and the lung pressure from the ECG si

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Shih, Meng-Yu, and 示孟玉. "Emotion Recognition Using Electrocardiogram and Photoplethysmorgraphy." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/51618578625321951636.

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碩士<br>國立中正大學<br>電機工程研究所<br>101<br>In this thesis, we proposed an emotion recognition system based on physiological signals. Electrocardiogram (ECG) and photoplethysmorgraphy (PPG) were used to recognize seven kinds of emotions, including neutral (non-stimulated state), happy, stress, sad, disgust, anger, and surprise. The participants consist of 10 male and 10 female students who watched video programs of two to four minutes in length to stimulate distinct emotions.A new index called the pulse transit time (PTT) has recently emerged and used in research. This signal can be calculated from ECG

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Mohapatra, Swaraj. "Classification of Electrocardiogram Waveforms Using PNN." Thesis, 2010. http://ethesis.nitrkl.ac.in/2079/1/SWARAJ.pdf.

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With increasing computational power, sophisticated algorithms have been proposed to improve the prediction accuracy of ECG waveform classification systems. One such approach is application of PCA on the features extracted using curve fitting tool in MATLAB and application of PNN to get the classification desired for various purposes. The present work reviews the methods of feature extraction and then the application of PNN to get the classification. It also reveals an approach that can be taken for ECG waveform classification based works

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ZHONG, LIN-YOU, and 鍾林佑. "Predicting the Blood Pressure via Electrocardiogram Signal." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/ene4qj.

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碩士<br>亞洲大學<br>生物資訊與醫學工程學系<br>105<br>With the development of technology, the function of the portable devices are gradually increased. The emergence of these devices including many physiological data monitoring function. After combined with the mobile phone, these device can be used to collect the health status-related data. So that the national health awareness gradually. In this study, we focus on cardiovascular disease which is significant increasing risk with hypertension. Through the measurement of ECG signal and blood pressure, we intended to explore the relationship between ECG signal an

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Chiu, Yen-Ming, and 邱彥銘. "Acquisition and Identification of Chaotic Electrocardiogram Signals." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/69275943653765954044.

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碩士<br>國立中興大學<br>電機工程學系所<br>98<br>Electrocardiography (ECG) is a noninvasive recording featured by electrocardiographic devices which is a transthoracic interpretation of the electrical activity of the human’s heart over time captured. From the data base of medical ECG signals for people, ECG seems to be irregular, random, and changing from person to person. Because of high randomness and complexity of ECG in human beings, its feature is extremely hard and is likely impossible to be duplicated artificially. However, it has recently been shown in the literature that the kind of signals is, in fa

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翁嘉懋. "Analysis of Electrocardiogram Based on ARMAX Model." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/41884886521984609296.

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碩士<br>中華大學<br>電機工程學系(所)<br>97<br>The auto-regressive exogenous input moving average (ARMAX) model is proposed to approximate and to predict the normal electrocardiogram (ECG) in the thesis. The most important X part of the ARMAX is consisted of three major components, such as the right tricuspid valve, the interventricular septum, and the aortic valve. Both minimum square error (MSE) criterion and Generic Algorithm (GA) have been implemented to estimate the coefficients of the ARMAX. The major difference is that the predicted results of MSE criterion usually are local optimal, and the results

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Liu, Wei-min, and 劉維旻. "Design of wireless electrocardiogram system andits applications." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/96377899034510225117.

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碩士<br>國立中央大學<br>電機工程研究所<br>96<br>According to the survey taken by the Department of Healthy in Taiwan, the cardiovascular disease has been noticed because of its second rank in the top ten causes of death. Since dangerous heart attack is always coming in unexpected situation, one low-cost system which is suitable for monitoring a patient’s heart status in his daily life is needed. This research aims to design a wireless electrocardiogram (ECG) recording system for continuously monitoring and tracking the heart status of a patient. The wireless ECG contains multiple circuit stages, including in

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Liu, Chang-Wen, and 劉昌紋. "Mental Stress Analysis System Based on Electrocardiogram." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/56326228364117698999.

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碩士<br>國立臺灣海洋大學<br>電機工程學系<br>102<br>Along with the mental stress of modern is higher than the previous, it is difficult to count while we face the problem of living surroundings. Althoug appropriate stress allows people to maintain good physical and mental condition, but the stress generated by the environment often are not temporary. If stress is not adequately expressed or problems not resolved, it will be accumulated continually ,then lead to physical and psychological symptoms and diseases. The stress of long-term accumulation will affect the autonomic nervous system, autonomic nervous syst

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Lin, Weijen, and 林偉仁. "Emotion Recognition Based on Electroencephalogram and Electrocardiogram." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/24096118291773195424.

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碩士<br>國立中正大學<br>電機工程研究所<br>99<br>In this thesis, we proposed an emotion recognition system based on physiological signals. Electroencephalogram (EEG) and electrocardiogram (ECG) were used to recognize seven kinds of emotions, including normal (non-stimulated state), happy, stress, sad, disgust, anger, and surprise. The emotion recognition system was user-independent, and was divided into five parts, including physiological signal acquisition, signal segmentation, feature extraction, feature selection, and classification. In the physiological signal acquisition part, we acquired data from 10 pa

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Tsai, Hsin Chen, and 蔡信宸. "A System Modeling Approach to Electrocardiogram Analysis." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/30405405991676875951.

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碩士<br>長庚大學<br>資訊工程學系<br>98<br>In this thesis, we propose a novel means that uses system modeling approach to extract fixed-length parameters from single-lead ECG data, such that Premature Ventricular Contraction (PVC) can be detected in real time. Our proposed method consists of two pipelined parts: the first part receives an ECG signal and identifies the corresponding AR (Auto Regressive) system by the recursive least squares method; the second part feeds the system parameters into a neural network for symptom analysis. Experimental results obtained from the MIT-BIH database, including 15 pat

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Chou, Yi-Wen, and 周逸雯. "The Analysis of Electrocardiogram Feature in Disease." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/03214271949525441106.

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碩士<br>元智大學<br>資訊管理學系<br>97<br>Abstract Heart attack is one of the major diseases leading to death based on recent reports. Therefore, it is crucial to develop a computer-assisted algorithm to improve conventional diagnoses of heart diseases. 12-lead ECG is a frequently-used diagnostic tool with the advantages of non-invasive measurement and convenient acquisition. Objective : The major objective of this study is to develop a hidden markov model (HMM) that can recognize the ECG features of 12-lead ECG. The HMM model then can be used to identify myocardial infarction that is a life-thre

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Chen, Ying-Hsiang, and 陳穎祥. "Subband Decomposition Methods for Electrocardiogram Beat Discrimination." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/13403671395600740821.

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博士<br>國立中正大學<br>電機工程所<br>97<br>Electrocardiogram (ECG) beat discrimination plays an important role in the clinical diagnosis of heart diseases. Although many ECG beat classification methods have been provided in the literature, there still leave room for improvement in view of different issues. Several significant issues, including recognition rates, noise-resistibility, and feature dimension, are considered in the dissertation for the development of an effective and efficient ECG beat classifier. In Chapter II, the discrete wavelet transformation is employed to decompose the ECG signals into

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Shu, Horng-yih, and 許鴻義. "Design and Analysis of Electrocardiogram Measuring System." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/07080890915716071929.

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碩士<br>國立雲林科技大學<br>機械工程系碩士班<br>91<br>A measuring system for weak electrical signals is built and analyzed in the thesis. Its performance is tested on the recording of electrocardiogram (ECG). The measurement system is divided into two parts. The first one is an amplifying circuit that solves the recording problems associated with electrodes. The second part includes a low-pass filter and a notch filter that attenuate the signal-contaminating noises. The filtering circuits are analyzed both using computer simulation and real-time testing. To examine the performance of the measurement

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