Photoplethysmographic based heart rate variability for different physiological conditions
This paper investigates the feasibility of using photoplethysmographic (PPG) signal for heart rate variability (HRV) using different physiological conditions. In this paper, we have analyzed four physiological conditions i.e.; sitting, standing, laying and jogging. The Easy Pulse sensor module was...
| Main Authors: | , , , , |
|---|---|
| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2014
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/41620/ http://irep.iium.edu.my/41620/1/41620.pdf http://irep.iium.edu.my/41620/4/41620_Photoplethysmographic%20based%20heart%20rate.SCOPUS.pdf |
| _version_ | 1848782149754290176 |
|---|---|
| author | Shah, Mansoor Hussain Kazmi, Syed Absar Sidek, Khairul Azami Khan, Sheroz Iqbal, Fatema-tuz-Zohra |
| author_facet | Shah, Mansoor Hussain Kazmi, Syed Absar Sidek, Khairul Azami Khan, Sheroz Iqbal, Fatema-tuz-Zohra |
| author_sort | Shah, Mansoor Hussain |
| building | IIUM Repository |
| collection | Online Access |
| description | This paper investigates the feasibility of using
photoplethysmographic (PPG) signal for heart rate variability (HRV) using different physiological conditions. In this paper, we have analyzed four physiological conditions i.e.; sitting, standing,
laying and jogging. The Easy Pulse sensor module was used to pass the signal sensed by the optical sensor through a series of high and low pass filters which later generates a conditioned PPG signal at its output. The Arduino processing module was used for the digitization and processing of the PPG signals. The Arduino program was then developed to capture the PPG data and waveforms. The Kubios HRV software was used to process the PPG data and manipulate it into a HRV format. The PPG signal was then analyzed in time and frequency domain parameters. Later, report sheets were generated based on these analyses. The
results showed that the PPG signal as well as HRV changes
depending upon the physiological conditions. It was also
examined that the low and high frequency components of PPG signal also varied according to the change in physiological condition. |
| first_indexed | 2025-11-14T16:00:52Z |
| format | Proceeding Paper |
| id | iium-41620 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:00:52Z |
| publishDate | 2014 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-416202018-05-17T02:02:41Z http://irep.iium.edu.my/41620/ Photoplethysmographic based heart rate variability for different physiological conditions Shah, Mansoor Hussain Kazmi, Syed Absar Sidek, Khairul Azami Khan, Sheroz Iqbal, Fatema-tuz-Zohra TK7885 Computer engineering This paper investigates the feasibility of using photoplethysmographic (PPG) signal for heart rate variability (HRV) using different physiological conditions. In this paper, we have analyzed four physiological conditions i.e.; sitting, standing, laying and jogging. The Easy Pulse sensor module was used to pass the signal sensed by the optical sensor through a series of high and low pass filters which later generates a conditioned PPG signal at its output. The Arduino processing module was used for the digitization and processing of the PPG signals. The Arduino program was then developed to capture the PPG data and waveforms. The Kubios HRV software was used to process the PPG data and manipulate it into a HRV format. The PPG signal was then analyzed in time and frequency domain parameters. Later, report sheets were generated based on these analyses. The results showed that the PPG signal as well as HRV changes depending upon the physiological conditions. It was also examined that the low and high frequency components of PPG signal also varied according to the change in physiological condition. Institute of Electrical and Electronics Engineers Inc. 2014 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/41620/1/41620.pdf application/pdf en http://irep.iium.edu.my/41620/4/41620_Photoplethysmographic%20based%20heart%20rate.SCOPUS.pdf Shah, Mansoor Hussain and Kazmi, Syed Absar and Sidek, Khairul Azami and Khan, Sheroz and Iqbal, Fatema-tuz-Zohra (2014) Photoplethysmographic based heart rate variability for different physiological conditions. In: 2014 IEEE Student Conference on Research and Development (SCOReD), 16-17 December 2014, Park Royal, Batu Feringghi, Penang. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7072998 |
| spellingShingle | TK7885 Computer engineering Shah, Mansoor Hussain Kazmi, Syed Absar Sidek, Khairul Azami Khan, Sheroz Iqbal, Fatema-tuz-Zohra Photoplethysmographic based heart rate variability for different physiological conditions |
| title | Photoplethysmographic based heart rate variability for different physiological conditions |
| title_full | Photoplethysmographic based heart rate variability for different physiological conditions |
| title_fullStr | Photoplethysmographic based heart rate variability for different physiological conditions |
| title_full_unstemmed | Photoplethysmographic based heart rate variability for different physiological conditions |
| title_short | Photoplethysmographic based heart rate variability for different physiological conditions |
| title_sort | photoplethysmographic based heart rate variability for different physiological conditions |
| topic | TK7885 Computer engineering |
| url | http://irep.iium.edu.my/41620/ http://irep.iium.edu.my/41620/ http://irep.iium.edu.my/41620/1/41620.pdf http://irep.iium.edu.my/41620/4/41620_Photoplethysmographic%20based%20heart%20rate.SCOPUS.pdf |