TY - GEN
T1 - Energy-efficient long term physiological monitoring
AU - Banerjee, Ayan
AU - Nabar, Sidharth
AU - Gupta, Sandeep
AU - Poovendran, Radha
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - Recently, several wireless body sensor-based systems have been proposed for continuous, long-term physiological monitoring. A major challenge in such systems is that a large amount of data is collected, and transmission of this data incurs significant energy consumption at the sensor. In this work, we demonstrate a data reporting method that significantly reduces energy consumption while maintaining a high diagnostic accuracy of the reported physiological signal. This is achieved by using a generative model of the physiological signal of interest at the sensor, and suppressing data transmission when sensed data matches the model. In this demonstration, we implement the proposed technique for electrocardiogram (ECG) signal and illustrate its performance in terms of energy savings and accuracy of reported data.
AB - Recently, several wireless body sensor-based systems have been proposed for continuous, long-term physiological monitoring. A major challenge in such systems is that a large amount of data is collected, and transmission of this data incurs significant energy consumption at the sensor. In this work, we demonstrate a data reporting method that significantly reduces energy consumption while maintaining a high diagnostic accuracy of the reported physiological signal. This is achieved by using a generative model of the physiological signal of interest at the sensor, and suppressing data transmission when sensed data matches the model. In this demonstration, we implement the proposed technique for electrocardiogram (ECG) signal and illustrate its performance in terms of energy savings and accuracy of reported data.
KW - Model based communication
KW - Resource efficient
UR - http://www.scopus.com/inward/record.url?scp=84862961879&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862961879&partnerID=8YFLogxK
U2 - 10.1145/2077546.2077566
DO - 10.1145/2077546.2077566
M3 - Conference contribution
AN - SCOPUS:84862961879
SN - 9781450309820
T3 - Proceedings - Wireless Health 2011, WH'11
BT - Proceedings - Wireless Health 2011, WH'11
T2 - 2nd Wireless Health Conference, WH'11
Y2 - 10 October 2011 through 13 October 2011
ER -