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Dissertations / Theses on the topic 'ECD detection'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

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

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2

Kratsas, Sherry L. "Parallelization of ECG template-based abnormality detection." Morgantown, W. Va. : [West Virginia University Libraries], 2000. http://etd.wvu.edu/templates/showETD.cfm?recnum=1697.

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Thesis (M.S.)--West Virginia University, 2000.<br>Title from document title page. Document formatted into pages; contains vii, 62 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 61-62).

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3

Häubner, Norbert. "Dynamics of astaxanthin, tocopherol (Vitamin E) and thiamine (Vitamin B1) in the Baltic Sea ecosystem : Bottom-up effects in an aquatic food web." Doctoral thesis, Uppsala universitet, Ekologisk botanik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-130143.

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The thesis combines laboratory experiments and field expeditions to study production, transfer and consumption of non-enzymatic antioxidants and thiamine in an aquatic food web. In particular, I (1) documented spatial and seasonal variation of tocopherols and carotenoids in the Baltic Sea pelagic food web, and (2) examined the effects of abiotic and biotic factors on tocopherol, carotenoid and thiamine concentrations in phytoplankton, zooplankton and fish. Moderate differences in temperature and salinity affected α-tocopherol, β-carotene and thiamine production in microalgae. Furthermore, the

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4

Valluri, Sasanka. "DETECTION OF THE R-WAVE IN ECG SIGNALS." Master's thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2122.

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This thesis aims at providing a new approach for detecting R-waves in the ECG signal and generating the corresponding R-wave impulses with the delay between the original R-waves and the R-wave impulses being lesser than 100 ms. The algorithm was implemented in Matlab and tested with good results against 90 different ECG recordings from the MIT-BIH database. The Discrete Wavelet Transform (DWT) forms the heart of the algorithm providing a multi-resolution analysis of the ECG signal. The wavelet transform decomposes the ECG signal into frequency scales where the ECG characteristic waveforms are

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5

Yerra, Rajiv. "Detecting Similar HTML Documents Using A Sentence-Based Copy Detection Approach." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd977.pdf.

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6

Jackson, Lance Elliot. "Automated detection of frequency specific fluctuations in ECG morphology." Thesis, Massachusetts Institute of Technology, 1990. http://hdl.handle.net/1721.1/72282.

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Thesis (B.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1991.<br>Includes bibliographical references (leaves 50-51).<br>by Lance Elliot Jackson.<br>B.S.

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Bin, Hashim Fakroul Ridzuan. "Novel ECG analysis with application to atrial fibrillation detection." Thesis, University of Strathclyde, 2016. http://digitool.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=27925.

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A new approach of electrocardiography (ECG) analysis system is developed to process noisy ECG signals leading for improved arrhythmia detection. The system employs two processing units comprising a novel noise reduction unit and a novel pattern recognition unit. Each unit incorporates numbers of processing techniques. In the noise reduction unit, the ECG signal is denoised before proceeding to the next stage. Four main noises contaminating the ECG signal are considered that includes baseline wander (BW), powerline interference (PLI), electromyogram (EMG) and motion artifact (MA). For BW and MA

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8

Stantic, Dejan. "Abnormality Detection from ECG Signals Using Multiscale Wavelet Analysis." Thesis, Griffith University, 2017. http://hdl.handle.net/10072/367263.

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Cardiovascular disease is the number one cause of mortality in the western world, responsible for more than 16 million deaths annually worldwide. It can be diagnosed from Electro Cardiogram (ECG) signal, which captures the cardiac activities of the heart. Such signal apart of a large volume and velocity is often characterised by low quality due to the noise and other artefacts. In order to extract features from the ECG signal and perform the classication preprocessing, noise removal is required and it plays an important role in correct feature extraction and classication. Despite the signicant

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9

Koc, Bengi. "Detection And Classification Of Qrs Complexes From The Ecg Recordings." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/2/12610328/index.pdf.

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Electrocardiography (ECG) is the most important noninvasive tool used for diagnosing heart diseases. An ECG interpretation program can help the physician state the diagnosis correctly and take the corrective action. Detection of the QRS complexes from the ECG signal is usually the first step for an interpretation tool. The main goal in this thesis was to develop robust and high performance QRS detection algorithms, and using the results of the QRS detection step, to classify these beats according to their different pathologies. In order to evaluate the performances, these algorithms were teste

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10

Pandit, Diptandshu. "Intelligent ECG processing and abnormality detection using adaptive ensemble models." Thesis, Northumbria University, 2017. http://nrl.northumbria.ac.uk/36139/.

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This thesis explores the automated Electrocardiogram (ECG) signal analysis and the feasibility of using a set of computationally inexpensive algorithms to process raw ECG signals for abnormality detection. The work is divided into three main stages which serve towards the main aim of this research, i.e. the abnormality detection from single channel raw ECG signals. In the first stage, a lightweight baseline correction algorithm is proposed along with a modified moving window average method for real-time noise reduction. Additionally, for further offline analysis, a wavelet transform and adapti

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11

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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12

Allard, Annika. "Enteric adenovirus type 41 : genome organization and specific detection procedures." Doctoral thesis, Umeå universitet, Virologi, 1992. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-100582.

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Enteric adenoviruses (EAd) types 40 and 41 (Ad40 and Ad41) representing subgenus F, are primary pathogens of children being second only to rotaviruses as the most important cause of infantile diarrhea. The EAds differ from all other adenoviruses in their inability to grow in most conventional established cell lines and have been suggested to be deficient in some early gene functions since they could be complemented by Ad 5 early regions EIA and E1B. In order to search for differences that could explain its characteristic growth restriction, the early regions EIA and E1B of Ad41 (strain D389) w

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Darrington, John Mark. "Real time extraction of ECG fiducial points using shape based detection." University of Western Australia. School of Computer Science and Software Engineering, 2009. http://theses.library.uwa.edu.au/adt-WU2009.0152.

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The electrocardiograph (ECG) is a common clinical and biomedical research tool used for both diagnostic and prognostic purposes. In recent years computer aided analysis of the ECG has enabled cardiographic patterns to be found which were hitherto not apparent. Many of these analyses rely upon the segmentation of the ECG into separate time delimited waveforms. The instants delimiting these segments are called the

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Janjarasjitt, Suparerk. "A NEW QRS DETECTION AND ECG SIGNAL EXTRACTION TECHNIQUE FOR FETAL MONITORING." Case Western Reserve University School of Graduate Studies / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=case1144263231.

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Montazeri, Ghahjaverestan Nasim. "Early detection of cardiac arrhythmia based on Bayesian methods from ECG data." Thesis, Rennes 1, 2015. http://www.theses.fr/2015REN1S061/document.

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L'apnée est une complication fréquente chez les nouveaux-nés prématurés. L'un des problèmes les plus fréquents est l'épisode d'apnée bradycardie dont la répétition influence de manière négative le développement de l'enfant. C'est pourquoi les enfants prématurés sont surveillés en continu par un système de monitoring. Depuis la mise en place de ce système, l'espérance de vie et le pronostic de vie des prématurés ont été considérablement améliorés et ainsi la mortalité réduite. En effet, les avancées technologiques en électronique, informatique et télécommunications ont conduit à l'élaboration d

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Gaubatz, Gunnar. "Tamper-resistant arithmetic for public-key cryptography." Worcester, Mass. : Worcester Polytechnic Institute, 2007. http://www.wpi.edu/Pubs/ETD/Available/etd-030107-115645/.

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Dissertation (Ph.D.)--Worcester Polytechnic Institute.<br>Keywords: Side Channel Attacks; Fault Attacks; Public-Key Cryptography; Error Detection; Error Detecting Codes. Includes bibliographical references (leaves 127-136).

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Patton, Michael Dean. "Seedlet Technology for anomaly detection." Diss., Mississippi State : Mississippi State University, 2002. http://library.msstate.edu/etd/show.asp?etd=etd-08022002-142101.

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18

He, David Da. "A wearable heart monitor at the ear using ballistocardiogram (BCG) and electrocardiogram (ECG) with a nanowatt ECG heartbeat detection circuit." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/79221.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 132-137).<br>This work presents a wearable heart monitor at the ear that uses the ballistocardiogram (BCG) and the electrocardiogram (ECG) to extract heart rate, stroke volume, and pre-ejection period (PEP) for the application of continuous heart monitoring. Being a natural anchoring point, the ear is demonstrated as a viable location for the integrated sensing of physiological signals. The source

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Rogers, Stuart Craig. "Defect Detection Microscopy." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2256.

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The automotive industry's search for stronger lighter materials has been hampered in its desire to make greater use of Magnesium alloys by their poor formability below 150°C. One current challenge is to identify the complex structure and deformation mechanisms at work and determine which of these are primary contributors to the nucleation of defects. Orientation Imaging Microscopy has been the most accessible tool for microstructural analysis over the past 15 years. However, using OIM to analyze defect nucleation sites requires prior knowledge of where the defects will occur because once the d

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Butler, Joseph G. "Automated Fingertip Detection." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3164.

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One of the oldest biometrics that has been used to uniquely identify a person is their fingerprint. Recent developments in research on fingerprint collection have made it possible to collect fingerprint data from a stand-off digital image. Each of the techniques developed so far have relied on either a very controlled capture environment to ensure only a single fingertip is collected or manual cropping of the image down to the fingertip. The main body of the research focuses on extracting the fingerprint itself. If fingerprint collection via digital image is ever to be fielded in the real worl

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Damon, Raphael Wesley. "Determination of the photopeak detection efficiency of a HPGe detector, for volume sources, via Monte Carlo simulations." Thesis, University of the Western Cape, 2005. http://etd.uwc.ac.za/index.php?module=etd&amp.

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The Environmental Radioactivity Laboratory (ERL) at iThemba LABS undertakes experimental work using a high purity germanium (HPGe) detector for laboratory measurements. In this study the Monte Carlo transport code, MCNPX, which is a general-purpose Monte Carlo N &minus<br>Particle code that extends the capabilities of the MCNP code, developed at the Los Alamos National Laboratory in New Mexico, was used. The study considers how various parameters such as (1) coincidence summing, (2) volume, (3) atomic number (Z) and (4) density, affects the absolute photopeak efficiency of the ERL&rsquo<br>s H

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Di, Fusco Greta. "A Reliable Downscaling of ECG Signals for the Detection of T wave Heterogeneity Features." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016.

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In cardiovascular disease the definition and the detection of the ECG parameters related to repolarization dynamics in post MI patients is still a crucial unmet need. In addition, the use of a 3D sensor in the implantable medical devices would be a crucial mean in the assessment or prediction of Heart Failure status, but the inclusion of such feature is limited by hardware and firmware constraints. The aim of this thesis is the definition of a reliable surrogate of the 500 Hz ECG signal to reach the aforementioned objective. To evaluate the worsening of reliability due to sampling frequency

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Simons, Lara Andrea da Silva. "Automatic sleep apnea detection and sleep classification using the ECG and the SpO2 signals." Master's thesis, FCT - UNL, 2009. http://hdl.handle.net/10362/2649.

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Dissertation for a Masters Degree in Computer and Electronic Engineering<br>The present work describes the aspects to implement a system that can be used as a swift and accessible screening tool in patients whose complaints are compatible with OSAS (Obstructive Sleep Apnea Syndrome). This system only uses two signals, electrocardiogram (ECG) and the saturation of oxygen in arterial blood flow (SPO2). This system would be applied for the ambulatory automatic screening of OSAS, which currently are done in a Hospital environment, with a substantial waiting list. The system also would overcome

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Tobón, Cardona M. (Marcela). "Automatic detection of early repolarization pattern in ECG signals with waveform prototype-based learning." Master's thesis, University of Oulu, 2018. http://jultika.oulu.fi/Record/nbnfioulu-201809062750.

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Abstract. Early repolarization (ER) pattern was considered a benign finding until 2008, when it was associated with sudden cardiac arrest (SCA). Since then, the interest of the medical community on the topic has grown, stating the need to develop methods to detect the pattern and analyze the risk of SCA. This thesis presents an automatic detection method of ER using supervised classification. The novelty of the method lies in the features used to construct the classification models. The features consist of prototypes that are composed by fragments of the ECG signal where the ER pattern is loca

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Yadav, Kamna. "Improving Accuracy of the Edgebox Approach." DigitalCommons@USU, 2018. https://digitalcommons.usu.edu/etd/7326.

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Object region detection plays a vital role in many domains ranging from self-driving cars to lane detection, which heavily involves the task of object detection. Improving the performance of object region detection approaches is of great importance and therefore is an active ongoing research in Computer Vision. Traditional sliding window paradigm has been widely used to identify hundreds of thousands of windows (covering different scales, angles, and aspect ratios for objects) before the classification step. However, it is not only computationally expensive but also produces relatively low acc

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Laverty, Stephen William. "Detection of Nonstationary Noise and Improved Voice Activity Detection in an Automotive Hands-free Environment." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-051105-110646/.

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Zhu, Feng. "Integrity-Based Kernel Malware Detection." FIU Digital Commons, 2014. http://digitalcommons.fiu.edu/etd/1572.

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Kernel-level malware is one of the most dangerous threats to the security of users on the Internet, so there is an urgent need for its detection. The most popular detection approach is misuse-based detection. However, it cannot catch up with today's advanced malware that increasingly apply polymorphism and obfuscation. In this thesis, we present our integrity-based detection for kernel-level malware, which does not rely on the specific features of malware. We have developed an integrity analysis system that can derive and monitor integrity properties for commodity operating systems kernels. In

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Satya, Prudhvi Ratna Badri. "Fake Likers Detection on Facebook." DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/4961.

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In online social networking sites, gaining popularity has become important. The more popular a company is, the more profits it can make. A way to measure a company's popularity is to check how many likes it has (e.g., the company's number of likes in Facebook). To instantly and artificially increase the number of likes, some companies and business people began hiring crowd workers (aka fake likers) who send likes to a targeted page and earn money. Unfortunately, little is known about characteristics of the fake likers and how to identify them. To uncover fake likers in online social networks,

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Alkadi, Alaa. "Anomaly Detection in RFID Networks." UNF Digital Commons, 2017. https://digitalcommons.unf.edu/etd/768.

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Available security standards for RFID networks (e.g. ISO/IEC 29167) are designed to secure individual tag-reader sessions and do not protect against active attacks that could also compromise the system as a whole (e.g. tag cloning or replay attacks). Proper traffic characterization models of the communication within an RFID network can lead to better understanding of operation under “normal” system state conditions and can consequently help identify security breaches not addressed by current standards. This study of RFID traffic characterization considers two piecewise-constant data smoothing

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Al, Jailawi Samer Saadi Hussein. "Damage detection using angular velocity." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6539.

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The present work introduces novel methodologies for damage detection and health monitoring of structural and mechanical systems. The new approach uses the angular velocity inside different mathematical forms, via a gyroscope, to detect, locate, and relatively quantify damage. This new approach has been shown to outperform the current state-of-the-art acceleration-based approach in detecting damage on structures. Additionally, the current approach has been shown to be less sensitive to environmental acoustic noises, which present major challenges to the acceleration-based approaches. Furthermor

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Pike, Cameron M. "Multipath signal detection using the bispectrum." Ohio : Ohio University, 1990. http://www.ohiolink.edu/etd/view.cgi?ohiou1183467926.

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De, La Hoz Isaza Yueng Santiago. "A Fall Prevention System for the Elderly and Visually Impaired." Scholar Commons, 2018. http://scholarcommons.usf.edu/etd/7142.

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The World Health Organization claims that there are more than 285 million blind and visually impaired people in the world. In the US, 25 million Americans suffer from total or partial vision loss. As a result of their impairment, they struggle with mobility problems, especially the risk of falling. According to the National Council On Aging, falls are among the primary causes for fatal injury and they are the most common cause of non-fatal trauma-related hospital admissions among older adults. Visibility, an organization that helps visually impaired people, reports that people with visual impa

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Call, Seth T. "Real-Time Virus Analysis Via Image Charge Detection Surface Induced Dissociation Tandem Mass Spectrometry." BYU ScholarsArchive, 2009. https://scholarsarchive.byu.edu/etd/2141.

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This thesis reports on the development of a novel mass spectrometer combining image charge detection with surface induced dissociation for real-time analysis of intact viruses. Protonated viruses produced using electrospray are accelerated and subsequently impact on a solid surface. Capsid peptides released during the impact are analyzed using time-of-flight mass spectrometry. Image charge detection is used to measure the mass and charge states of structurally intact, electrosprayed viruses prior to impact. Since virus capsids are composed of loosely-bound proteins, collision of viruses with s

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Hendrikx, Tijn. "Catch Atrial Fibrillation, Prevent Stroke : Detection of atrial fibrillation and other arrhythmias with short intermittent ECG." Doctoral thesis, Umeå universitet, Allmänmedicin, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-100497.

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Background: Atrial fibrillation (AF) is the most common arrhythmia in the adult population, affecting about 5% of the population over 65 years. Occurrence of AF is an independent risk factor for stroke, and together with other cardiovascular risk factors (CHADS2/CHA2DS2- VASc), the stroke risk increases. Since AF is often paroxysmal and asymptomatic (silent) it may remain undiagnosed for a long time and many AF patients are not discovered before suffering a stroke. Aims: To estimate the prevalence of previously undiagnosed AF in an out-of-hospital population with CHADS2 ≥1, in patients with an

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GÃ¼venÃ§, Ä°smail. "Towards practical design of impulse radio ultrawideband systems: Parameter estimation and adaptation, interference mitigation, and performance analysis." Scholar Commons, 2006. http://scholarcommons.usf.edu/etd/2541.

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Ultrawideband (UWB) is one of the promising technologies for future short-range high data rate communications (e.g. for wireless personal area networks) and longer range low data rate communications (e.g. wireless sensor networks).Despite its various advantages and potentials (e.g. low-cost circuitry, unlicensed reuse of licensed spectrum, precision ranging capability etc.), UWB also has its own challenges. The goal of this dissertation is to identify and address some of those challenges, and provide a framework for practical UWB transceiver design.In this dissertation, various modulation opti

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Meyer, Michael S. "Acoustic detection of manatee vocalizations." [Gainesville, Fla.] : University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0001168.

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Cao, Lei. "Outlier Detection In Big Data." Digital WPI, 2016. https://digitalcommons.wpi.edu/etd-dissertations/82.

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The dissertation focuses on scaling outlier detection to work both on huge static as well as on dynamic streaming datasets. Outliers are patterns in the data that do not conform to the expected behavior. Outlier detection techniques are broadly applied in applications ranging from credit fraud prevention, network intrusion detection to stock investment tactical planning. For such mission critical applications, a timely response often is of paramount importance. Yet the processing of outlier detection requests is of high algorithmic complexity and resource consuming. In this dissertation we inv

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Lydon, Andrew. "Compilation For Intrusion Detection Systems." Ohio University / OhioLINK, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1088179093.

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Arief, Nyimas. "Automated Detection of Incomplete Exhalation as an Indirect Detection of Auto-PEEP on Mechanically Ventilated Adults." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/534.

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Auto-PEEP is auto positive end-expiratory pressure due to excessive amounts of alveolar gas produced by sustained recurrent incomplete exhalation. Incomplete exhalation occurs when the exhaled breath never reaches a flow rate of 0 L/min. The objective of this dissertation is to develop an automated detection system of auto-PEEP through incomplete exhalation as revealed by ventilator graphics for mechanically ventilated adults. Auto-PEEP can cause adverse effects if allowed to linger and if not quickly identified. An automated detection system will be instrumental in helping to quickly identify

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Kavarana, Farokh H. "Cracked shaft detection rig." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-03142009-040531/.

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Jacoby, Grant A. "Battery-based intrusion detection /." This resource online, 2005. http://scholar.lib.vt.edu/theses/available/etd-04212005-120840.

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PATEL, VIJAY KUMAR. "CARDIAC ANOMALIES DETECTION FROM ECG." Thesis, 2017. http://dspace.dtu.ac.in:8080/jspui/handle/repository/16147.

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Cardiac diseases are one of the leading cause of death across the world. Identification of many heart diseases involving irregular heartbeat relies upon the reading of an ECG. An ECG is the electrical signal of the heart that is taken using electrodes put on the skin. Ideally 12-lead ECG on the patients and on the chest. The magnitude of the heart is then measured from the twelve different angles and is recorded over a period of time. In this project we propose efficient technique to automatically extract the ECG features. In this work we are able to identify at least 9 diseases (ischemia

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PATEL, VIJAY KUMAR. "CARDIAC ANOMALIES DETECTION FROM ECG." Thesis, 2017. http://dspace.dtu.ac.in:8080/jspui/handle/repository/16325.

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Cardiac diseases are one of the leading cause of death across the world. Identification of many heart diseases involving irregular heartbeat relies upon the reading of an ECG. An ECG is the electrical signal of the heart that is taken using electrodes put on the skin. Ideally 12-lead ECG on the patients and on the chest. The magnitude of the heart is then measured from the twelve different angles and is recorded over a period of time. In this project we propose efficient technique to automatically extract the ECG features. In this work we are able to identify at least 9 diseases (ischemia

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Lin, Wen Hsiung, and 林文雄. "ECG signal detection via PDA phone." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/59976251132860306485.

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碩士<br>長庚大學<br>電機工程學研究所<br>96<br>The portable electrocardiogram (ECG) recorders recently used for medical measurements. The recorded data can be either stored in memory unit for subsequent analysis in computer or wired or wireless transmitted to server. Our system is developed based on PDA phone due to computation capability, built-in Bluetooth technology, and post-hoc data transmission in PDA phone. The correct ECG analysis including R wave detection based on Pan-Tompkins algorithm and Q and S characteristic points detection, provides RR、QR、and RS interval analysis .Our system can be incorpora

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ZENG, JHOU-HAO, and 曾洲豪. "Robust ECG R wave detection using SPSO." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/3v695k.

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碩士<br>明志科技大學<br>電機工程系碩士班<br>105<br>An electrocardiogram (ECG) is a record of the electrical activity of the heart. According to electrocardiogram amplitude, intervals are directly related of the electrical properties of the heart. The electrocardiogram is a very important tool for diagnosing heart disease. This paper adopts standard particle swarm optimization (SPSO) to improve a knowledge-based QRS detection algorithm. This study adopts the electrocardiogram (ECG) signals records in MIT – BIH arrhythmia database as training and testing data to evaluate the performances of SPSO and knowledge-b

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Yen, Shao-Yung, and 顏紹雍. "The ECG features detection and arrhythmia classification system." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/36848125095541950811.

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碩士<br>元智大學<br>工業工程與管理學系<br>95<br>Automated diagnostic system has become an established component of medical technology. The main concept of the medical technology is an inductive engine that learns the decision characteristics of the diseases and then can be used to diagnose future patients with uncertain diseases states. Electrocardiogram (ECG) is an important tool in diagnosing the condition of the heart. It provides valuable information about the functional aspects of the heart and cardiovascular system. This research develops an algorithm to extract the QRS complex wave and combines the cl

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Chang, Wan-Teseng, and 張萬增. "QRS Complexes Detection for ECG Signal usingPTF Method." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/42577468500805538867.

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碩士<br>健行科技大學<br>電子工程系碩士班<br>103<br>This study presents a novel Pan-Tompkins-Filter (PTF) algorithm for detecting QRS complexes of ECG signals. The PTF algorithm can effectively find the correct point of QRS complexes. The proposed algorithm consists of three major procedures: (1) the preprocessing procedure for noise reduction of ECG signals and taking PTF signals; (2) the procedure for finding R point by searching maximum and minimum extreme values, merging extreme values, setting threshold value, and reducing redundant extreme values; (3) the procedure for finding Q and S points by searching

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Pestana, João Pedro de Lima. "Detection of abnormalities in ECG using Deep Learning." Master's thesis, 2019. http://hdl.handle.net/10362/92933.

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A significant part of healthcare is focused on the information that the physiological signals offer about the health state of an individual. The Electrocardiogram (ECG) cyclic behaviour gives insight on a subject’s emotional, behavioral and cardiovascular state. These signals often present abnormal events that affects their analysis. Two examples are the noise, that occurs during the acquisition, and symptomatic patterns, that are produced by pathologies. This thesis proposes a Deep Neural Networks framework that learns the normal behaviour of an ECG while detecting abnormal events, tes

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Sousa, Hugo Miguel Oliveira. "ECG Compression and QRS Detection: an IoT Approach." Master's thesis, 2019. https://hdl.handle.net/10216/124530.

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Wang, Yi-Neng, and 王奕能. "A Study of ECG R-peak Detection Methods." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/83109914607668776375.

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碩士<br>國立臺灣科技大學<br>電子工程系<br>105<br>Among all heart rate detection algorithms, the one developed by Pan-Tompkins is the most commonly used. However, its filtering system can not reserve enough content of QRS complex, its searchback mechanism can not detect bigeminy and trigeminy, and its non-linear transform can not adapt sudden changes in amplitude very well. There are only two open source R-peak detection algorithms that can be obtained from the Internet, i.e. WFDB （waveform database）of PhysioNet and OSEA（open source ECG analysis）of Hamilton at EP Limited corporation. OSEA was cited by more pa

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