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Author Tolbert, Jeremy R ♦ Kabali, Pratik ♦ Brar, Simeranjit ♦ Mukhopadhyay, Saibal
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2012
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Data compression ♦ Low power
Abstract Remote wireless monitoring of physiological signals has emerged as a key enabler for biotelemetry and can significantly improve the delivery of healthcare. Improving the energy efficiency and battery lifetime of the monitoring units without sacrificing the acquired signal quality is a key challenge in large-scale deployment of bioelectronic systems for remote wireless monitoring. In this article, we present a design methodology for accuracy aware, energy efficient wireless monitoring of electroencephalography (EEG) data. The proposed design performs a real-time accuracy energy trade-off by controlling the volume of transmitted data based on the information content in the EEG signal. We consider the effect of different system parameters in order to design an optimal system. We analyze the impact of noise of the wireless channel. Our analysis shows that the proposed system design approach can provide up to 10X energy savings in a 32 channel wireless EEG system with minimal impact on the monitored EEG signal accuracy.
ISSN 15504832
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2012-02-01
Publisher Place New York
e-ISSN 15504840
Journal ACM Journal on Emerging Technologies in Computing Systems (JETC)
Volume Number 8
Issue Number 1
Page Count 21
Starting Page 1
Ending Page 21


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Source: ACM Digital Library