ECG analyzing program for arrhythmia detection

© 2014 IEEE. The ECG analysis program can provide much information about cardiac disorder. Comparison with visual analysis, require specialist which are not available in many occasion. Therefore, computer-based technique that develops for ECG analysis can used to training inexperience staff and pred...

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Main Authors: Pariyakorn Boonperm, Dit Supakasemwong, Phornphop Naiyanetr
Other Authors: Mahidol University
Format: Conference or Workshop Item
Published: 2018
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/35922
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spelling th-mahidol.359222018-11-23T17:06:55Z ECG analyzing program for arrhythmia detection Pariyakorn Boonperm Dit Supakasemwong Phornphop Naiyanetr Mahidol University Engineering © 2014 IEEE. The ECG analysis program can provide much information about cardiac disorder. Comparison with visual analysis, require specialist which are not available in many occasion. Therefore, computer-based technique that develops for ECG analysis can used to training inexperience staff and prediagnostic the ECG data. In this work, the ECG analyzing algorithm for arrhythmia detection was applied using MATLAB. Parameters that used in this analysis were peak of P wave, QRS Complex and T wave. The detection of the RR interval, PR interval, QRS complex, QT interval and conversion of the RR interval to heart rate (beat per minute) were developed. ECG analyzing program is easy to use by simply load the ECG data to analyze both the necessary value for arrhythmia detection and type of arrhythmia. In conclusion, the ECG analysis program using as a pre-screen test for ruler area and also use as a training system for medical staff was developed. 2018-11-23T10:06:55Z 2018-11-23T10:06:55Z 2015-01-01 Conference Paper BMEiCON 2014 - 7th Biomedical Engineering International Conference. (2015) 10.1109/BMEiCON.2014.7017428 2-s2.0-84922990582 https://repository.li.mahidol.ac.th/handle/123456789/35922 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84922990582&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Engineering
spellingShingle Engineering
Pariyakorn Boonperm
Dit Supakasemwong
Phornphop Naiyanetr
ECG analyzing program for arrhythmia detection
description © 2014 IEEE. The ECG analysis program can provide much information about cardiac disorder. Comparison with visual analysis, require specialist which are not available in many occasion. Therefore, computer-based technique that develops for ECG analysis can used to training inexperience staff and prediagnostic the ECG data. In this work, the ECG analyzing algorithm for arrhythmia detection was applied using MATLAB. Parameters that used in this analysis were peak of P wave, QRS Complex and T wave. The detection of the RR interval, PR interval, QRS complex, QT interval and conversion of the RR interval to heart rate (beat per minute) were developed. ECG analyzing program is easy to use by simply load the ECG data to analyze both the necessary value for arrhythmia detection and type of arrhythmia. In conclusion, the ECG analysis program using as a pre-screen test for ruler area and also use as a training system for medical staff was developed.
author2 Mahidol University
author_facet Mahidol University
Pariyakorn Boonperm
Dit Supakasemwong
Phornphop Naiyanetr
format Conference or Workshop Item
author Pariyakorn Boonperm
Dit Supakasemwong
Phornphop Naiyanetr
author_sort Pariyakorn Boonperm
title ECG analyzing program for arrhythmia detection
title_short ECG analyzing program for arrhythmia detection
title_full ECG analyzing program for arrhythmia detection
title_fullStr ECG analyzing program for arrhythmia detection
title_full_unstemmed ECG analyzing program for arrhythmia detection
title_sort ecg analyzing program for arrhythmia detection
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/35922
_version_ 1763498102884401152