title: Adaptive pulse width control and sampling for low power pulse oximetry.
abstract: Remote sensing of physiological parameters could be a cost effective approach to improving health care, and low-power sensors are essential for remote sensing because these sensors are often energy constrained. This paper presents a power optimized photoplethysmographic sensor interface to sense arterial oxygen saturation, a technique to dynamically trade off SNR for power during sensor operation, and a simple algorithm to choose when to acquire samples in photoplethysmography. A prototype of the proposed pulse oximeter built using commercial-off-the-shelf (COTS) components is tested on 10 adults. The dynamic adaptation techniques described reduce power consumption considerably compared to our reference implementation, and our approach is competitive to state-of-the-art implementations. The techniques presented in this paper may be applied to low-power sensor interface designs where acquiring samples is expensive in terms of power as epitomized by pulse oximetry.
authors.forename: Sagar Venkatesh
authors.initials: SV
authors.lastname: Gubbi
authors.forename: Bharadwaj
authors.initials: B
authors.lastname: Amrutur
mesh_terms: D000328:Adult; D000465:Algorithms; D004867:Equipment Design; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008954:Models, Biological; D010092:Oximetry / Q000379:methods*; D017156:Photoplethysmography; D058998:Remote Sensing Technology; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio