DRP-Net extracts phase-shifted rPPG signals from facial and acral regions for heart rate; BBP-Net uses their temporal and phase features plus a bounded sigmoid to estimate SBP/DBP, reporting MAEs of 1.78 BPM / 10.19 mmHg / 7.09 mmHg on MMSE-HR.
X-ippgnet: A novel one stage deep learning architecture based on depthwise separable con- volutions for video-based pulse rate estimation
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Phase-shifted remote photoplethysmography for estimating heart rate and blood pressure from facial video
DRP-Net extracts phase-shifted rPPG signals from facial and acral regions for heart rate; BBP-Net uses their temporal and phase features plus a bounded sigmoid to estimate SBP/DBP, reporting MAEs of 1.78 BPM / 10.19 mmHg / 7.09 mmHg on MMSE-HR.