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PPG-based heart rate estimation using Wiener filter, phase vocoder and Viterbi decoding
Temko, Andriy
Accurate heart rate (HR) estimation from the photoplethysmographic (PPG) signal during intensive physical exercises is tackled in this paper. Wiener filters are designed to attenuate the influence of motion artifacts. The phase vocoder is used to improve the initial Discrete Fourier transform (DFT) based frequency estimation. Additionally, Viterbi decoding is used as a novel post-processing step to find the path through time-frequency state-space plane. The system performance is assessed on a publically available dataset of 23 PPG recordings. The resulting algorithm is designed for scenarios that do not require online HR monitoring (swimming, offline fitness statistics). The resultant system with an error rate of 1.31 beats per minute outperforms all other systems reported to-date in literature and in contrast to existing alternatives requires no parameter to tune at the post-processing stage and operates at a much lower computational cost. The Matlab implementation is provided online.
Keyword(s): Wiener filter; Phase vocoder; Accelerometers; Estimation; Heart rate; Viterbi algorithm; Spectrum estimation
Publication Date:
2017
Type: Conference item
Peer-Reviewed: Yes
Language(s): English
Institution: University College Cork
Funder(s): Science Foundation Ireland
Citation(s): Temko, A. (2017) 'PPG-based heart rate estimation using Wiener filter, phase vocoder and Viterbi decoding', IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA, 5-9 March. doi:10.1109/ICASSP.2017.7952309
Publisher(s): Institute of Electrical and Electronics Engineers (IEEE)
File Format(s): application/pdf
First Indexed: 2018-02-28 06:30:19 Last Updated: 2018-02-28 06:30:19