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• W2034894433 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." @default.
• W2034894433 created "2016-06-24" @default.
• W2034894433 creator A5053181771 @default.
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• W2034894433 date "2015-04-01" @default.
• W2034894433 modified "2023-09-26" @default.
• W2034894433 title "Adaptive Pulse Width Control and Sampling for Low Power Pulse Oximetry" @default.
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• W2034894433 doi "https://doi.org/10.1109/tbcas.2014.2326712" @default.
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