Energy-efficient long term physiological monitoring

Ayan Banerjee, Sidharth Nabar, Sandeep Gupta, Radha Poovendran

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings - Wireless Health 2011, WH'11
DOIs
StatePublished - 2011
Event2nd Wireless Health Conference, WH'11 - San Diego, CA, United States
Duration: Oct 10 2011Oct 13 2011

Publication series

NameProceedings - Wireless Health 2011, WH'11

Other

Other2nd Wireless Health Conference, WH'11
CountryUnited States
CitySan Diego, CA
Period10/10/1110/13/11

Keywords

  • Model based communication
  • Resource efficient

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Biomedical Engineering

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