Development of fatigue detection technique using photoplethysmogram signal

Fatigue is a subjective feeling of tiredness which has physical or mental implications. Thus, in this study we will prove the robustness and reliability of PPG signals as a fatigue detection mechanism. Undeniably, PPG signals have the superior crite-ria which are non-invasive, small in size, low pow...

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Main Authors:	Sidek, Khairul Azami, Haron, Nur Syamim Izzatie, Mansor, Hasmah
Format:	Book Chapter
Language:	English
Published:	Malaysia Technical Scientist Association 2019
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/77881/ http://irep.iium.edu.my/77881/ http://irep.iium.edu.my/77881/7/77881%20Development%20of%20Fatigue%20Detection.pdf

id	iium-77881
recordtype	eprints
spelling	iium-778812020-01-28T02:59:05Z http://irep.iium.edu.my/77881/ Development of fatigue detection technique using photoplethysmogram signal Sidek, Khairul Azami Haron, Nur Syamim Izzatie Mansor, Hasmah TK7885 Computer engineering Fatigue is a subjective feeling of tiredness which has physical or mental implications. Thus, in this study we will prove the robustness and reliability of PPG signals as a fatigue detection mechanism. Undeniably, PPG signals have the superior crite-ria which are non-invasive, small in size, low power consumption as well as low in cost. A total of five different respondents have been assigned to perform the skipping exercise and running in place in a non-stop duration of 5 minutes. These PPG signals undergo a two- stage filter and amplifier to clean and boost the signals. Then, discriminative features were extracted from the PPG morphology. Finally, these samples were classified using five types of classification parameters which are peak to peak interval, pulse interval, ΔT calculation, heart rate and respiratory rate. The experimental results demonstrated that the proposed method of detecting fatigue using PPG signals has great potentials where each PPG signal shows a differ-ent pattern of complete cycle between one conditions to the other which suggest fatigue detection using PPG signal is possi-ble. The increase in the number of complete cycle in the data collected happened because of the frequency of the PPG signal when performing fast activity. This led to the decrease in the time duration for peak to peak interval, pulse interval and ΔT calculation. Thus, the difference in time duration is capable of distinguishing between fatigue and normal conditions. The results also showed that the heart rate and respiratory rate increases when performing either running or skipping activity. Malaysia Technical Scientist Association 2019 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/77881/7/77881%20Development%20of%20Fatigue%20Detection.pdf Sidek, Khairul Azami and Haron, Nur Syamim Izzatie and Mansor, Hasmah (2019) Development of fatigue detection technique using photoplethysmogram signal. In: Lecture Notes on Advanced Research in Engineering and Information Technology II. Malaysia Technical Scientist Association, Ayer Keroh, Melaka, pp. 106-113. 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 Sidek, Khairul Azami Haron, Nur Syamim Izzatie Mansor, Hasmah Development of fatigue detection technique using photoplethysmogram signal
description	Fatigue is a subjective feeling of tiredness which has physical or mental implications. Thus, in this study we will prove the robustness and reliability of PPG signals as a fatigue detection mechanism. Undeniably, PPG signals have the superior crite-ria which are non-invasive, small in size, low power consumption as well as low in cost. A total of five different respondents have been assigned to perform the skipping exercise and running in place in a non-stop duration of 5 minutes. These PPG signals undergo a two- stage filter and amplifier to clean and boost the signals. Then, discriminative features were extracted from the PPG morphology. Finally, these samples were classified using five types of classification parameters which are peak to peak interval, pulse interval, ΔT calculation, heart rate and respiratory rate. The experimental results demonstrated that the proposed method of detecting fatigue using PPG signals has great potentials where each PPG signal shows a differ-ent pattern of complete cycle between one conditions to the other which suggest fatigue detection using PPG signal is possi-ble. The increase in the number of complete cycle in the data collected happened because of the frequency of the PPG signal when performing fast activity. This led to the decrease in the time duration for peak to peak interval, pulse interval and ΔT calculation. Thus, the difference in time duration is capable of distinguishing between fatigue and normal conditions. The results also showed that the heart rate and respiratory rate increases when performing either running or skipping activity.
format	Book Chapter
author	Sidek, Khairul Azami Haron, Nur Syamim Izzatie Mansor, Hasmah
author_facet	Sidek, Khairul Azami Haron, Nur Syamim Izzatie Mansor, Hasmah
author_sort	Sidek, Khairul Azami
title	Development of fatigue detection technique using photoplethysmogram signal
title_short	Development of fatigue detection technique using photoplethysmogram signal
title_full	Development of fatigue detection technique using photoplethysmogram signal
title_fullStr	Development of fatigue detection technique using photoplethysmogram signal
title_full_unstemmed	Development of fatigue detection technique using photoplethysmogram signal
title_sort	development of fatigue detection technique using photoplethysmogram signal
publisher	Malaysia Technical Scientist Association
publishDate	2019
url	http://irep.iium.edu.my/77881/ http://irep.iium.edu.my/77881/ http://irep.iium.edu.my/77881/7/77881%20Development%20of%20Fatigue%20Detection.pdf
first_indexed	2023-09-18T21:49:48Z
last_indexed	2023-09-18T21:49:48Z
_version_	1777413693206691840

Development of fatigue detection technique using photoplethysmogram signal

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