Autocorrelation-based, passive, non-contact, photoplethysmography: Computationally-efficient, noise-tolerant, extraction of heart rates from video
The signal obtained by PPG is not a simple sinusoid, but has a relatively complex structure, which in video is degraded by ambient lighting variations, motion, noise, and a low sampling rate. Although EVM and many other analysis methods in the literature essentially operate in the frequency domain, fitting the video data to their model requires extensive preprocessing. In this paper a time-based autocorrelation method is applied directly to the video signal that exhibits superior noise rejection and resolution for detecting quasi-periodic waveforms. The method described in the current work avoids both the preprocessing computational cost and the potential signal distortions.
Document Type: Research Article
Publication date: January 13, 2019
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