Power spectrum density based analysis of photoplethymographic signal for different physiological conditions
This paper investigates to represent and analyze the Photolythsmographic (PPG) signal on the basis of the Power Spectral Density (PSD) as parameter for the varying physiological conditions. An infra-red optical-sensing device is placed on the finger tip used to sense the blood variation measurement...
| Main Authors: | , , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
IEEE
2014
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/41646/ http://irep.iium.edu.my/41646/1/41646.pdf http://irep.iium.edu.my/41646/4/41646_Power%20spectrum%20density_scopus.pdf |
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| 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 to represent and analyze the Photolythsmographic (PPG) signal on the basis of the Power Spectral Density (PSD) as parameter for the varying physiological conditions. An infra-red optical-sensing device is placed on the finger tip used to sense the blood variation measurement and generates the PPG signal at its output. Easy Pulse Sensor module is used to condition this signal by passing it through a series of Low pass, High pass filters and Op-Amps to produce the final PPG signal. The programs are developed for Arduino processing board which is used as a bridging device between Easy Pulse Sensing module and PC. The so obtained PPG signal waveforms and data are then analyzed by using Kubios HRV software. The PPG samples under the four volunteers are collected in four different physiological conditions, that is, sitting, standing, laying, jogging and then these data items are analyzed for the PSD representation under each condition. The results are clear PSD representation of each physiological condition. |
| first_indexed | 2025-11-14T16:00:54Z |
| format | Proceeding Paper |
| id | iium-41646 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:00:54Z |
| publishDate | 2014 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-416462017-09-18T08:54:19Z http://irep.iium.edu.my/41646/ Power spectrum density based analysis of photoplethymographic signal 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 to represent and analyze the Photolythsmographic (PPG) signal on the basis of the Power Spectral Density (PSD) as parameter for the varying physiological conditions. An infra-red optical-sensing device is placed on the finger tip used to sense the blood variation measurement and generates the PPG signal at its output. Easy Pulse Sensor module is used to condition this signal by passing it through a series of Low pass, High pass filters and Op-Amps to produce the final PPG signal. The programs are developed for Arduino processing board which is used as a bridging device between Easy Pulse Sensing module and PC. The so obtained PPG signal waveforms and data are then analyzed by using Kubios HRV software. The PPG samples under the four volunteers are collected in four different physiological conditions, that is, sitting, standing, laying, jogging and then these data items are analyzed for the PSD representation under each condition. The results are clear PSD representation of each physiological condition. IEEE 2014 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/41646/1/41646.pdf application/pdf en http://irep.iium.edu.my/41646/4/41646_Power%20spectrum%20density_scopus.pdf Shah, Mansoor Hussain and Kazmi, Syed Absar and Sidek, Khairul Azami and Khan, Sheroz and Iqbal, Fatema-tuz-Zohra (2014) Power spectrum density based analysis of photoplethymographic signal for different physiological conditions. In: 2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA 2014), 25 November 2014, Kuala Lumpur, Malaysia. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7047435&filter%3DAND%28p_IS_Number%3A7047414%29 |
| spellingShingle | TK7885 Computer engineering Shah, Mansoor Hussain Kazmi, Syed Absar Sidek, Khairul Azami Khan, Sheroz Iqbal, Fatema-tuz-Zohra Power spectrum density based analysis of photoplethymographic signal for different physiological conditions |
| title | Power spectrum density based analysis of photoplethymographic signal for different physiological conditions |
| title_full | Power spectrum density based analysis of photoplethymographic signal for different physiological conditions |
| title_fullStr | Power spectrum density based analysis of photoplethymographic signal for different physiological conditions |
| title_full_unstemmed | Power spectrum density based analysis of photoplethymographic signal for different physiological conditions |
| title_short | Power spectrum density based analysis of photoplethymographic signal for different physiological conditions |
| title_sort | power spectrum density based analysis of photoplethymographic signal for different physiological conditions |
| topic | TK7885 Computer engineering |
| url | http://irep.iium.edu.my/41646/ http://irep.iium.edu.my/41646/ http://irep.iium.edu.my/41646/1/41646.pdf http://irep.iium.edu.my/41646/4/41646_Power%20spectrum%20density_scopus.pdf |