Stress recognition using photoplethysmogram signal

This study proposed a novel method of stress recognition using photopletysmogram (PPG) signal. PPG devices are now widely used because it is convenient, low powered, cheap and also easy to handle due to its small size. A total of 5 subjects were involved in this study. The PPG signals were taken in...

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Main Authors:	Abd Halim, Noor Hafizah Azlin, Sidek, Khairul Azami, Mansor, Hasmah
Format:	Article
Language:	English English
Published:	Institute of Advanced Engineering and Science (IAES) 2017
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/60116/ http://irep.iium.edu.my/60116/ http://irep.iium.edu.my/60116/ http://irep.iium.edu.my/60116/1/10031-12449-1-PB.pdf http://irep.iium.edu.my/60116/7/60116_Stress%20recognition%20using%20photoplethysmogram%20signal_SCOPUS.pdf

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recordtype	eprints
spelling	iium-601162018-03-12T03:52:42Z http://irep.iium.edu.my/60116/ Stress recognition using photoplethysmogram signal Abd Halim, Noor Hafizah Azlin Sidek, Khairul Azami Mansor, Hasmah TK7885 Computer engineering This study proposed a novel method of stress recognition using photopletysmogram (PPG) signal. PPG devices are now widely used because it is convenient, low powered, cheap and also easy to handle due to its small size. A total of 5 subjects were involved in this study. The PPG signals were taken in resting condition using pulse oximetry. The subject then goes through a stressor test in order to record the physiological changes. The data were collected before and after the test was conducted and later extracted. These samples were then categorised using classification techniques to differentiate between normal and stress condition. Based on the experimentation results, the systolic peak value differences of normal and stress conditions are evident.Therefore, the outcome of this study suggest the reliability of implementing PPG signal for stress recognition. Keywords: Photoplethysmogram (PPG), stress, systolic Institute of Advanced Engineering and Science (IAES) 2017-11 Article PeerReviewed application/pdf en http://irep.iium.edu.my/60116/1/10031-12449-1-PB.pdf application/pdf en http://irep.iium.edu.my/60116/7/60116_Stress%20recognition%20using%20photoplethysmogram%20signal_SCOPUS.pdf Abd Halim, Noor Hafizah Azlin and Sidek, Khairul Azami and Mansor, Hasmah (2017) Stress recognition using photoplethysmogram signal. Indonesian Journal of Electrical Engineering and Computer Science, 8 (2). pp. 495-501. ISSN 2502-4760 E-ISSN 2502-4760 http://iaescore.com/journals/index.php/IJEECS/article/view/10031/7654 10.11591/ijeecs.v8.i2.pp495-501
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering Abd Halim, Noor Hafizah Azlin Sidek, Khairul Azami Mansor, Hasmah Stress recognition using photoplethysmogram signal
description	This study proposed a novel method of stress recognition using photopletysmogram (PPG) signal. PPG devices are now widely used because it is convenient, low powered, cheap and also easy to handle due to its small size. A total of 5 subjects were involved in this study. The PPG signals were taken in resting condition using pulse oximetry. The subject then goes through a stressor test in order to record the physiological changes. The data were collected before and after the test was conducted and later extracted. These samples were then categorised using classification techniques to differentiate between normal and stress condition. Based on the experimentation results, the systolic peak value differences of normal and stress conditions are evident.Therefore, the outcome of this study suggest the reliability of implementing PPG signal for stress recognition. Keywords: Photoplethysmogram (PPG), stress, systolic
format	Article
author	Abd Halim, Noor Hafizah Azlin Sidek, Khairul Azami Mansor, Hasmah
author_facet	Abd Halim, Noor Hafizah Azlin Sidek, Khairul Azami Mansor, Hasmah
author_sort	Abd Halim, Noor Hafizah Azlin
title	Stress recognition using photoplethysmogram signal
title_short	Stress recognition using photoplethysmogram signal
title_full	Stress recognition using photoplethysmogram signal
title_fullStr	Stress recognition using photoplethysmogram signal
title_full_unstemmed	Stress recognition using photoplethysmogram signal
title_sort	stress recognition using photoplethysmogram signal
publisher	Institute of Advanced Engineering and Science (IAES)
publishDate	2017
url	http://irep.iium.edu.my/60116/ http://irep.iium.edu.my/60116/ http://irep.iium.edu.my/60116/ http://irep.iium.edu.my/60116/1/10031-12449-1-PB.pdf http://irep.iium.edu.my/60116/7/60116_Stress%20recognition%20using%20photoplethysmogram%20signal_SCOPUS.pdf
first_indexed	2023-09-18T21:25:12Z
last_indexed	2023-09-18T21:25:12Z
_version_	1777412145240080384

Stress recognition using photoplethysmogram signal

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