Investigation of signal processing algorithms for an embedded microcontroller-based wearable pulse oximeter.
Despite steady progress in the miniaturization of pulse oximeters over the years, significant challenges remain since advanced signal processing must be implemented efficiently in real-time by a relatively small size wearable device. The goal of this study was to investigate several potential digital signal processing algorithms for computing arterial oxygen saturation (SpO(2)) and heart rate (HR) in a battery-operated wearable reflectance pulse oximeter that is being developed in our laboratory for use by medics and first responders in the field. We found that a differential measurement approach, combined with a low-pass filter (LPF), yielded the most suitable signal processing technique for estimating SpO(2), while a signal derivative approach produced the most accurate HR measurements.
Johnston
W S
WS
Biomed. Eng. Dept., Worcester Polytech. Inst., MA 01609, USA. johnston@wpi.edu
Mendelson
Y
Y
D000328:Adult; D000465:Algorithms; D003627:Data Interpretation, Statistical; D006339:Heart Rate; D006801:Humans; D008297:Male; D008838:Microcomputers; D008991:Monitoring, Physiologic; D009038:Motion; D010092:Oximetry; D010100:Oxygen / Q000378:metabolism*; D017156:Photoplethysmography; D012044:Regression Analysis; D012815:Signal Processing, Computer-Assisted; D012984:Software
D010100:Oxygen