Heart Rate Tracking using Wrist-Type Photoplethysmographic (PPG) Signals during Physical Exercise with Simultaneous Accelerometry Article Swipe
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· 2015
· Open Access
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· DOI: https://doi.org/10.1109/lsp.2015.2509868
· OA: W1849865010
This paper considers the problem of casual heart rate tracking during\nintensive physical exercise using simultaneous 2 channel photoplethysmographic\n(PPG) and 3 dimensional (3D) acceleration signals recorded from wrist. This is\na challenging problem because the PPG signals recorded from wrist during\nexercise are contaminated by strong Motion Artifacts (MAs). In this work, a\nnovel algorithm is proposed which consists of two main steps of MA Cancellation\nand Spectral Analysis. The MA cancellation step cleanses the MA-contaminated\nPPG signals utilizing the acceleration data and the spectral analysis step\nestimates a higher resolution spectrum of the signal and selects the spectral\npeaks corresponding to HR. Experimental results on datasets recorded from 12\nsubjects during fast running at the peak speed of 15 km/hour showed that the\nproposed algorithm achieves an average absolute error of 1.25 beat per minute\n(BPM). These experimental results also confirm that the proposed algorithm\nkeeps high estimation accuracies even in strong MA conditions.\n
