Automated detection of sensor detachments for physiological sensing in the wild

Authors:
Kurt Plarre;Andrew Raij;Santanu Guha;Mustafa al'Absi;Emre Ertin;Santosh Kumar
Affiliations:
University of Memphis;University of Memphis;University of Memphis;University of Minnesota;The Ohio State University;University of Memphis
Venue:
WH '10 Wireless Health 2010
Year:
2010

Citing 0
Cited 2

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Proceedings of the 2nd Conference on Wireless Health

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Abstract

Body area sensor networks measure biomedical signals from subjects continuously, as they go about their daily lives. Signals measured in these conditions are affected by anomalies, such as artifacts and noise. Some anomalies can be corrected, if detected in real-time, for example, ECG electrode detachment. We present energy and computationally efficient algorithms for the detection of sensor detachment, developed for the AutoSense system.