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Cardiac irregularity detection using photoplethysmogram signal

In this study, photoplethysmogram (PPG) based heart abnormality detection method was proposed. PPG signals utilized were obtained from MIMIC II Waveform Database, Version 3 Part 1 with sampling frequency of 250 Hz with the duration of 10 seconds each. The feature of the PPG signals were then extract...

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Main Authors: Umadi, Lina Fadhilah, Mohd Azam, Siti Nurfarah Ain, Sidek, Khairul Azami
Format: Article
Language:English
English
Published: Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM) 2016
Subjects:
TK7885 Computer engineering
Online Access:http://irep.iium.edu.my/52813/1/IJTECE_Cardiac%20Irregularity%20Detection%20Using%20Photoplethysmogram%20Signal.pdf
http://irep.iium.edu.my/52813/7/52813_Cardiac%20irregularity%20detection_scopus.pdf
http://irep.iium.edu.my/52813/
http://journal.utem.edu.my/index.php/jtec/article/view/1193/694
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spelling my.iium.irep.528132017-06-01T07:53:51Z http://irep.iium.edu.my/52813/ Cardiac irregularity detection using photoplethysmogram signal Umadi, Lina Fadhilah Mohd Azam, Siti Nurfarah Ain Sidek, Khairul Azami TK7885 Computer engineering In this study, photoplethysmogram (PPG) based heart abnormality detection method was proposed. PPG signals utilized were obtained from MIMIC II Waveform Database, Version 3 Part 1 with sampling frequency of 250 Hz with the duration of 10 seconds each. The feature of the PPG signals were then extracted using MATLAB and the distances between successive minimum troughs as well as the area of Cardioid graphs of PPG signals were calculated and evaluated to differentiate the normal and abnormal PPG signal. Based on the experimentation results, distances between minimum trough and the area of the Cardioid graphs of abnormal PPG signals are larger than the normal segments. Therefore, the results show the proof-of-concept of the proposed heart abnormality detection technique and suggest a better alternative to the current techniques. Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM) 2016 Article REM application/pdf en http://irep.iium.edu.my/52813/1/IJTECE_Cardiac%20Irregularity%20Detection%20Using%20Photoplethysmogram%20Signal.pdf application/pdf en http://irep.iium.edu.my/52813/7/52813_Cardiac%20irregularity%20detection_scopus.pdf Umadi, Lina Fadhilah and Mohd Azam, Siti Nurfarah Ain and Sidek, Khairul Azami (2016) Cardiac irregularity detection using photoplethysmogram signal. Journal of Telecommunication, Electronic and Computer Engineering, 8 (4). pp. 161-166. ISSN 2180-1843 http://journal.utem.edu.my/index.php/jtec/article/view/1193/694
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic TK7885 Computer engineering
spellingShingle TK7885 Computer engineering
Umadi, Lina Fadhilah
Mohd Azam, Siti Nurfarah Ain
Sidek, Khairul Azami
Cardiac irregularity detection using photoplethysmogram signal
description In this study, photoplethysmogram (PPG) based heart abnormality detection method was proposed. PPG signals utilized were obtained from MIMIC II Waveform Database, Version 3 Part 1 with sampling frequency of 250 Hz with the duration of 10 seconds each. The feature of the PPG signals were then extracted using MATLAB and the distances between successive minimum troughs as well as the area of Cardioid graphs of PPG signals were calculated and evaluated to differentiate the normal and abnormal PPG signal. Based on the experimentation results, distances between minimum trough and the area of the Cardioid graphs of abnormal PPG signals are larger than the normal segments. Therefore, the results show the proof-of-concept of the proposed heart abnormality detection technique and suggest a better alternative to the current techniques.
format Article
author Umadi, Lina Fadhilah
Mohd Azam, Siti Nurfarah Ain
Sidek, Khairul Azami
author_facet Umadi, Lina Fadhilah
Mohd Azam, Siti Nurfarah Ain
Sidek, Khairul Azami
author_sort Umadi, Lina Fadhilah
title Cardiac irregularity detection using photoplethysmogram signal
title_short Cardiac irregularity detection using photoplethysmogram signal
title_full Cardiac irregularity detection using photoplethysmogram signal
title_fullStr Cardiac irregularity detection using photoplethysmogram signal
title_full_unstemmed Cardiac irregularity detection using photoplethysmogram signal
title_sort cardiac irregularity detection using photoplethysmogram signal
publisher Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM)
publishDate 2016
url http://irep.iium.edu.my/52813/1/IJTECE_Cardiac%20Irregularity%20Detection%20Using%20Photoplethysmogram%20Signal.pdf
http://irep.iium.edu.my/52813/7/52813_Cardiac%20irregularity%20detection_scopus.pdf
http://irep.iium.edu.my/52813/
http://journal.utem.edu.my/index.php/jtec/article/view/1193/694
_version_ 1643614238618419200
score 13.211869

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