Paper Info
Title
An Ultra Low Power Pulse Oximeter Sensor Based on Compressed Sensing
Abstract
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.
Year
DOI
Venue
2009
10.1109/BSN.2009.32
BSN
Keywords
Field
DocType
estimation,blood pressure measurement,continuous operation,databases,wireless sensor networks,cardiology,photoplethysmogram,light emitting diodes,blood pressure,photodetectors,compressed sensing,body area network,low power electronics,led,plethysmography
Power budget,Wireless,Computer science,Photoplethysmogram,Pulse (signal processing),Photodetector,Wireless sensor network,Electrical engineering,Compressed sensing,Low-power electronics
Conference
Citations 
PageRank 
References 
34
2.53
5
Authors
2
Name
Order
Citations
PageRank
Pawan K. Baheti1405.18
Harinath Garudadri217123.32