作者: Robert Adams , Jeffrey G. Bernstein , Sefa Demirtas
DOI:
关键词: Computer vision 、 Artificial intelligence 、 Interference (communication) 、 Accelerometer 、 Linear prediction 、 Noise (signal processing) 、 Signal 、 Filter (signal processing) 、 Heartbeat 、 Computer science 、 Photoplethysmogram
摘要: Heart rate monitors are plagued by noisy photoplethysmography (PPG) data, which makes it difficult for the to output a consistently accurate heart reading. Noise is often caused motion. Using known methods processing accelerometer readings that measure movement filter out some of this noise may help, but not always. The present disclosure describes an improved front-end technique (time-domain interference removal) based on using adaptive linear prediction data generate filters filtering PPG signal prior tracking frequency heartbeat (heart rate). also back-end steering resonant in order track heartbeat. Implementing one or both these techniques leads more measurements.