The ASIC achieved heart rate estimation from compressively sampled PPG data while reducing LED driver power consumption by up to 30 times at just 172 μW.
A novel PPG readout ASIC using compressive sampling significantly reduces power consumption while maintaining accurate heart rate estimation.
Absolute Event Rate: 0% vs 0%
A compressive sampling (CS) photoplethysmographic (PPG) readout with embedded feature extraction to estimate heart rate (HR) directly from compressively sampled data is presented. It integrates a low-power analog front end together with a digital back end to perform feature extraction to estimate the average HR over a 4 s interval directly from compressively sampled PPG data. The application-specified integrated circuit (ASIC) supports uniform sampling mode (1x compression) as well as CS modes with compression ratios of 8x, 10x, and 30x. CS is performed through nonuniformly subsampling the PPG signal, while feature extraction is performed using least square spectral fitting through Lomb-Scargle periodogram. The ASIC consumes 172 μ W of power from a 1.2 V supply while reducing the relative LED driver power consumption by up to 30 times without significant loss of relevant information for accurate HR estimation.
Pamula et al. (Tue,) reported a other. The ASIC achieved heart rate estimation from compressively sampled PPG data while reducing LED driver power consumption by up to 30 times at just 172 μW.