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Design a Multistage Multirate System for Atrial Fibrillation Detection using ECG Signal

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dc.contributor.advisor Islam, Prof. Dr. Sheikh Md. Rabiul
dc.contributor.author Johura, Fatema Tuj
dc.date.accessioned 2019-01-13T06:53:36Z
dc.date.available 2019-01-13T06:53:36Z
dc.date.copyright 2018
dc.date.issued 2018-11
dc.identifier.other ID 1609502
dc.identifier.uri http://hdl.handle.net/20.500.12228/482
dc.description This thesis is submitted to the Department of Electronics and Communication Engineering, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Engineering (M.Sc. Eng.) in Electronics and Communication Engineering, November 2018. en_US
dc.description Cataloged from PDF Version of Thesis.
dc.description Includes bibliographical references in each chapter.
dc.description.abstract Atrial Fibrillation (AF) is one of the most common cardiac arrhythmias. The number of patients related to heart failure due to AF is increasing day by day. Early detection of AF may reduce the risk of death due to heart failure. So, it has become more important to detect AF. There are various method to detect AF. In this thesis, we use ECG signal for AF detection. The MIT-BIH Atrial Fibrillation database is used to import ECG data for analysis. Filtered ECG signal using multistage multirate system for removing noise. RR interval of the ECG signal is calculated. Here we use the algorithm that mainly follows statistical method for detection of AF. Parametric statistic RMSSD and SE, and non-parametric statistic, TPR are used for this purpose. MATLAB R2016a is used to measure the values of those parameters for estimation of AF. The threshold values of RMSSD/ (Mean RR) taken from the literature is 0.1, SE is 0.7 and TPR is greater than 0.54 and lesser than 0.77. The resultant values of RMSSD, SE and TPR of every beat are checked weather it crosses the threshold level or not. If all the three parameters cross the threshold level then the beat flagged as AF. It shows excellent result when compared with the annotations of the database, and then the sensitivity, specificity and accuracy are determined. The algorithm has the sensitivity of 98.03%, specificity of 98.80% and accuracy of 99.45%. Thus, the result obtained in this study is appreciable compared to the other study found in literature. en_US
dc.description.statementofresponsibility Fatema Tuj Johura
dc.format.extent 81 pages
dc.language.iso en_US en_US
dc.publisher Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh en_US
dc.rights Khulna University of Engineering & Technology (KUET) thesis/dissertation/internship reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Atrial Fibrillation (AF) en_US
dc.subject ECG Signal en_US
dc.subject Multistage Multirate System en_US
dc.subject Cardiac Arrhythmias en_US
dc.title Design a Multistage Multirate System for Atrial Fibrillation Detection using ECG Signal en_US
dc.type Thesis en_US
dc.description.degree Master of Engineering (M.Sc. Eng.) in Electronics and Communication Engineering
dc.contributor.department Department of Electronics and Communication Engineering


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