Adaptive notch-filtration to effectively recover photoplethysmographic signals during physical activity

Physical activity can severely influence the quality of photoplethysmographic (PPG) signals due to motion artefacts (MA). This study aims extract heart rate (HR) and respiration (RR) values from raw PPG captured a multi-wavelength illumination optoelectronic patch sensor (mOEPS) during physical different intensities, do this in an effective manner. The proposed method, combined with 3-axis accelerometer as reference, was developed for extraction desired signals. adaptive notch-filtration architecture (ANFA) comprises three parts: 1) moving average filter, 2) notch 3) physiological parameters. 24 healthy subjects completed four stages exercise increasing intensity. recovered calculation HR RR were comparable measurements commercial devices, absolute error < 1.0 beats/min IEEE-SPC dataset, 1.3 HR, 2.8 breaths/min RR, in–house dataset. ANFA has been proofed have good robustness low complexity be suitable application real-time monitoring.