Abstract:
Photoplethysmography (PPG) sensors provide accurate measurements of vital signs, including heart rate (HR), HR variability (HRV), and oxygen saturation (SpO2). PPG signal...Show MoreMetadata
Abstract:
Photoplethysmography (PPG) sensors provide accurate measurements of vital signs, including heart rate (HR), HR variability (HRV), and oxygen saturation (SpO2). PPG signal detection needs light-emitting diodes with sufficient brightness, consuming several mW in continuous monitoring. We present a PPG sensor that adaptively predicts peaks and valleys (PAVs), i.e., the maximum and minimum amplitudes of the signal, and extracts HR, HRV, SpO2, systolic, diastolic, and cardiac cycles with exceptionally low power consumption. The sensor activates only when PAVs occur, resulting in a power reduction of >87%, while maintaining a mean absolute error (MAE) of <0.5 beats per minute for HR, <1% for SpO2, and <3 ms for HRV, systolic, diastolic, and cardiac cycles. Our prototype was tested on the fingertip, wrist, arm, chest, neck, earlobe, and forehead of a 29-year-old subject.
Date of Conference: 19-22 May 2024
Date Added to IEEE Xplore: 02 July 2024
ISBN Information: