Automated detection of sensor detachments for physiological sensing in the wild

Authors

Kurt Plarre, University of Memphis
Andrew Raij, University of Memphis
Santanu Guha, University of Memphis
Mustafa Al'Absi, University of Minnesota Medical School
Emre Ertin, The Ohio State University
Santosh Kumar, University of Memphis

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. © 2010 Authors.

Publication Title

Proceedings - Wireless Health 2010, WH'10

Recommended Citation

Plarre, K., Raij, A., Guha, S., Al'Absi, M., Ertin, E., & Kumar, S. (2010). Automated detection of sensor detachments for physiological sensing in the wild. Proceedings - Wireless Health 2010, WH'10, 216-217. https://doi.org/10.1145/1921081.1921119