Please use this identifier to cite or link to this item:
Title: Review on Heart-Rate Estimation from Photoplethysmography and Accelerometer Signals During Physical Exercise
Authors: Periyasamy, Vijitha
Pramanik, Manojit
Ghosh, Prasanta Kumar
Keywords: Heart-rate monitoring
Spectral peak tracking
Issue Date: 2017
Source: 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.
Series/Report no.: Journal of the Indian Institute of Science
Abstract: 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.
ISSN: 0970-4140
DOI: 10.1007/s41745-017-0037-1
Rights: © 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 [].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCBE Journal Articles

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.