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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| Format: | Article |
| Language: | English English |
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Institute of Advanced Engineering and Science (IAES)
2017
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| Online Access: | 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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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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 |
| first_indexed | 2025-11-14T16:53:04Z |
| format | Article |
| id | iium-60116 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:53:04Z |
| publishDate | 2017 |
| publisher | Institute of Advanced Engineering and Science (IAES) |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |
| spellingShingle | TK7885 Computer engineering Abd Halim, Noor Hafizah Azlin Sidek, Khairul Azami Mansor, Hasmah Stress recognition using photoplethysmogram signal |
| title | 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_short | Stress recognition using photoplethysmogram signal |
| title_sort | stress recognition using photoplethysmogram signal |
| topic | TK7885 Computer engineering |
| 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 |