Review on Heart-Rate Estimation from Photoplethysmography and Accelerometer Signals During Physical Exercise
Non-invasive monitoring of physiological signals during physical exercise is essential to customize the exercise module. Photoplethysmography (PPG) signal has often been used to non-invasively monitor heart-rate, respiratory rate, and blood-pressure among other physiological signals. Typically, PPG...
| Main Authors: | , , |
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| Format: | Journal Article |
| Language: | English |
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2017
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| Online Access: | https://hdl.handle.net/10356/85626 http://hdl.handle.net/10220/43914 |
| _version_ | 1811690407538458624 |
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| author | Periyasamy, Vijitha Pramanik, Manojit Ghosh, Prasanta Kumar |
| author2 | School of Chemical and Biomedical Engineering |
| author_facet | School of Chemical and Biomedical Engineering Periyasamy, Vijitha Pramanik, Manojit Ghosh, Prasanta Kumar |
| author_sort | Periyasamy, Vijitha |
| collection | NTU |
| description | Non-invasive monitoring of physiological signals during physical exercise is essential to customize the exercise module. Photoplethysmography (PPG) signal has often been used to non-invasively monitor heart-rate, respiratory rate, and blood-pressure among other physiological signals. Typically, PPG signal is acquired using pulse oximeter from finger-tip or wrist. Advantage of wrist-based PPG sensors is that it is more convenient to wear. Other sensors such as accelerometer can also be integrated with it due to large area on the wrist. This article provides a review of the algorithms developed for heart rate estimation during physical exercise from the PPG signals and accelerometer signals. The datasets used to develop these techniques are described. Algorithms for denoising of PPG signals using accelerometer signals are either in time domain or frequency domain. |
| first_indexed | 2024-10-01T06:03:30Z |
| format | Journal Article |
| id | ntu-10356/85626 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:03:30Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/856262023-12-29T06:50:14Z Review on Heart-Rate Estimation from Photoplethysmography and Accelerometer Signals During Physical Exercise Periyasamy, Vijitha Pramanik, Manojit Ghosh, Prasanta Kumar School of Chemical and Biomedical Engineering Heart-rate monitoring Spectral peak tracking Non-invasive monitoring of physiological signals during physical exercise is essential to customize the exercise module. Photoplethysmography (PPG) signal has often been used to non-invasively monitor heart-rate, respiratory rate, and blood-pressure among other physiological signals. Typically, PPG signal is acquired using pulse oximeter from finger-tip or wrist. Advantage of wrist-based PPG sensors is that it is more convenient to wear. Other sensors such as accelerometer can also be integrated with it due to large area on the wrist. This article provides a review of the algorithms developed for heart rate estimation during physical exercise from the PPG signals and accelerometer signals. The datasets used to develop these techniques are described. Algorithms for denoising of PPG signals using accelerometer signals are either in time domain or frequency domain. MOE (Min. of Education, S’pore) Accepted version 2017-10-17T07:21:21Z 2019-12-06T16:07:18Z 2017-10-17T07:21:21Z 2019-12-06T16:07:18Z 2017 2017 Journal Article Periyasamy, V., Pramanik, M., & Ghosh, P. K. (2017). Review on Heart-Rate Estimation from Photoplethysmography and Accelerometer Signals During Physical Exercise. Journal of the Indian Institute of Science, 97(3), 313-324. 0970-4140 https://hdl.handle.net/10356/85626 http://hdl.handle.net/10220/43914 10.1007/s41745-017-0037-1 202434 en Journal of the Indian Institute of Science © 2017 Indian Institute of Science. This is the author created version of a work that has been peer reviewed and accepted for publication by Journal of the Indian Institute of Science, Indian Institute of Science. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The final publication is available at link.springer.com: [http://dx.doi.org/10.1007/s41745-017-0037-1]. 29 p. application/pdf |
| spellingShingle | Heart-rate monitoring Spectral peak tracking Periyasamy, Vijitha Pramanik, Manojit Ghosh, Prasanta Kumar Review on Heart-Rate Estimation from Photoplethysmography and Accelerometer Signals During Physical Exercise |
| title | Review on Heart-Rate Estimation from Photoplethysmography and Accelerometer Signals During Physical Exercise |
| title_full | Review on Heart-Rate Estimation from Photoplethysmography and Accelerometer Signals During Physical Exercise |
| title_fullStr | Review on Heart-Rate Estimation from Photoplethysmography and Accelerometer Signals During Physical Exercise |
| title_full_unstemmed | Review on Heart-Rate Estimation from Photoplethysmography and Accelerometer Signals During Physical Exercise |
| title_short | Review on Heart-Rate Estimation from Photoplethysmography and Accelerometer Signals During Physical Exercise |
| title_sort | review on heart rate estimation from photoplethysmography and accelerometer signals during physical exercise |
| topic | Heart-rate monitoring Spectral peak tracking |
| url | https://hdl.handle.net/10356/85626 http://hdl.handle.net/10220/43914 |
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