Key result
The signal-to-noise ratio of the power spectrum effectively indicates signal artifacts induced by subject head motion, allowing for reduced estimation errors in continuous pulse rate monitoring.
Signal-to-noise ratio of the power spectrum can serve as a quantitative metric to reduce pulse rate estimation errors caused by head motion in facial photoplethysmography.
Hypothesis-generating for motion-robust facial photoplethysmography; requires validation before clinical cardiovascular adoption.
We presented a systematic study of how subject head motion affects pulse rate estimation using photoplethysmography from the subject's face. We evaluated the performance at various steps in the process, including object tracking, skin blob detection, pulse signal extraction and pulse rate estimation. We demonstrated that the signal-to-noise ratio of the power spectrum is a good indicator of signal artifacts induced by subject motion, thus can be used as a quantitative metric in continuous pulse rate monitoring to reduce estimation errors.
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Xu et al. (2016) studied Pulse rate estimation. Photoplethysmography from the subject's face was evaluated on Pulse rate estimation accuracy under subject head motion. The signal-to-noise ratio of the power spectrum effectively indicates signal artifacts induced by subject head motion, allowing for reduced estimation errors in continuous pulse rate monitoring.
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