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Investigation of signal processing algorithms for an embedded microcontroller-based wearable pulse oximeter.

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  • 1Biomed. Eng. Dept., Worcester Polytech. Inst., MA 01609, USA. johnston@wpi.edu

Abstract

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.

PMID:
17946346
[PubMed - indexed for MEDLINE]
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