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...
| Main Authors: | , , |
|---|---|
| Format: | Book Chapter |
| Language: | English |
| Published: |
Malaysia Technical Scientist Association
2019
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/77878/ http://irep.iium.edu.my/77878/7/77878%20Stress%20Recognition.pdf |
| _version_ | 1848788516483366912 |
|---|---|
| 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 | 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. |
| first_indexed | 2025-11-14T17:42:04Z |
| format | Book Chapter |
| id | iium-77878 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T17:42:04Z |
| publishDate | 2019 |
| publisher | Malaysia Technical Scientist Association |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |
| 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 |
| title | 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_short | Stress recognition using photoplethysmogram (PPG) signal incorporating gender and age variability |
| title_sort | stress recognition using photoplethysmogram (ppg) signal incorporating gender and age variability |
| topic | TK7885 Computer engineering |
| url | http://irep.iium.edu.my/77878/ http://irep.iium.edu.my/77878/ http://irep.iium.edu.my/77878/7/77878%20Stress%20Recognition.pdf |