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Wearable and Implantable Body Sensor Networks, International Workshop on (2009)
Berkeley, CA
June 3, 2009 to June 5, 2009
ISBN: 978-0-7695-3644-6
pp: 144-148
We describe an ultra low power pulse oximeter sensor for long term, non-invasive monitoring of SpO2 and heart rate in Body Area Networks (BAN). Commercial pulse oximeter sensors consume about 20-60 mW of power during continuous operation. Other researchers have shown that accurate and noise robust wireless pulse oximeter sensors can be designed to operate with as little as 1.5 mW. The LEDs consume bulk of the power budget in pulse oximeter sensors. In this work, we describe a compressed sensing approach to sample the photodetector output, so that the LEDs can be turned off for longer periods and thus save sensor power. We randomly sample Photoplethysmogram (PPG) signals with about 10-40x fewer samples than with uniform sampling and demonstrate that the accuracy of heart rate estimation and blood pressure estimation are not compromised, using MIMIC database. This provides power savings of the order of 10-40x for a pulse oximeter sensor, by reducing the duration LEDs need to be turned on.
BAN, Pulse oximeter, Low power sensors, Compressed sensing, Blood pressure

H. Garudadri and P. K. Baheti, "An Ultra Low Power Pulse Oximeter Sensor Based on Compressed Sensing," 2009 Sixth International Workshop on Wearable & Implantable Body Sensor Networks Conference (BSN 2009)(BSN), Berkeley, CA, 2009, pp. 144-148.
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