Stress recognition using photoplethysmogram (PPG) signal incorporating gender and age variability

The present study suggested a new method of stress recognition using photopletysmogram (PPG) signal incorporating gen-der and age variability. PPG devices are using in this study due to its advantages such as low cost solution, portable, low power consumption and also easy to handle. Mainly, this st...

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Main Authors:	Abd Halim, Noor Hafizah Azlin, Sidek, Khairul Azami, Mansor, Hasmah
Format:	Book Chapter
Language:	English
Published:	Malaysia Technical Scientist Association 2019
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/77878/ http://irep.iium.edu.my/77878/ http://irep.iium.edu.my/77878/7/77878%20Stress%20Recognition.pdf

id	iium-77878
recordtype	eprints
spelling	iium-778782020-01-28T02:59:23Z http://irep.iium.edu.my/77878/ Stress recognition using photoplethysmogram (PPG) signal incorporating gender and age variability Abd Halim, Noor Hafizah Azlin Sidek, Khairul Azami Mansor, Hasmah TK7885 Computer engineering The present study suggested a new method of stress recognition using photopletysmogram (PPG) signal incorporating gen-der and age variability. PPG devices are using in this study due to its advantages such as low cost solution, portable, low power consumption and also easy to handle. Mainly, this study involves a total of 30 subjects from different gender and age group. The pulse oximetry is used to obtain PPG signals. The normal signal was collected when the subject are in the resting condition. The subjects then go through a stressor test in order to record the physiological changes and will be mark as a stress signal. Then, all the data were extracted and classified using classification techniques to know the differences between normal and stress signal. Based on the experimentation results, the peak value differences and Cardiod area differences of normal and stress conditions for female are higher than male. While, for age variability, the subjects from Group B (20-29 years old) shows the highest value as compared to other age groups. Therefore, the findings prove that the PPG signal are capable to recognize the stress recognition incorporating gender and age variability. Malaysia Technical Scientist Association 2019 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/77878/7/77878%20Stress%20Recognition.pdf Abd Halim, Noor Hafizah Azlin and Sidek, Khairul Azami and Mansor, Hasmah (2019) Stress recognition using photoplethysmogram (PPG) signal incorporating gender and age variability. In: Lecture Notes on Advanced Research in Engineering and Information Technology II. Malaysia Technical Scientist Association, Ayer Keroh, Melaka, pp. 83-90. https://maltesas.my/msys/explore/pubs/1562832735/1562832735_Article_1564560774.pdf
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering Abd Halim, Noor Hafizah Azlin Sidek, Khairul Azami Mansor, Hasmah Stress recognition using photoplethysmogram (PPG) signal incorporating gender and age variability
description	The present study suggested a new method of stress recognition using photopletysmogram (PPG) signal incorporating gen-der and age variability. PPG devices are using in this study due to its advantages such as low cost solution, portable, low power consumption and also easy to handle. Mainly, this study involves a total of 30 subjects from different gender and age group. The pulse oximetry is used to obtain PPG signals. The normal signal was collected when the subject are in the resting condition. The subjects then go through a stressor test in order to record the physiological changes and will be mark as a stress signal. Then, all the data were extracted and classified using classification techniques to know the differences between normal and stress signal. Based on the experimentation results, the peak value differences and Cardiod area differences of normal and stress conditions for female are higher than male. While, for age variability, the subjects from Group B (20-29 years old) shows the highest value as compared to other age groups. Therefore, the findings prove that the PPG signal are capable to recognize the stress recognition incorporating gender and age variability.
format	Book Chapter
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 (PPG) signal incorporating gender and age variability
title_short	Stress recognition using photoplethysmogram (PPG) signal incorporating gender and age variability
title_full	Stress recognition using photoplethysmogram (PPG) signal incorporating gender and age variability
title_fullStr	Stress recognition using photoplethysmogram (PPG) signal incorporating gender and age variability
title_full_unstemmed	Stress recognition using photoplethysmogram (PPG) signal incorporating gender and age variability
title_sort	stress recognition using photoplethysmogram (ppg) signal incorporating gender and age variability
publisher	Malaysia Technical Scientist Association
publishDate	2019
url	http://irep.iium.edu.my/77878/ http://irep.iium.edu.my/77878/ http://irep.iium.edu.my/77878/7/77878%20Stress%20Recognition.pdf
first_indexed	2023-09-18T21:49:48Z
last_indexed	2023-09-18T21:49:48Z
_version_	1777413692788310016

Stress recognition using photoplethysmogram (PPG) signal incorporating gender and age variability

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