TY - GEN
T1 - Automated detection of sensor detachments for physiological sensing in the wild
AU - Plarre, Kurt
AU - Raij, Andrew
AU - Guha, Santanu
AU - Al'Absi, Mustafa
AU - Ertin, Emre
AU - Kumar, Santosh
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - body sensor networks
KW - data quality
KW - signal processing
UR - http://www.scopus.com/inward/record.url?scp=79951593843&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79951593843&partnerID=8YFLogxK
U2 - 10.1145/1921081.1921119
DO - 10.1145/1921081.1921119
M3 - Conference contribution
AN - SCOPUS:79951593843
SN - 9781605589893
T3 - Proceedings - Wireless Health 2010, WH'10
SP - 216
EP - 217
BT - Proceedings - Wireless Health 2010, WH'10
T2 - 1st Wireless Health Conference, WH'10
Y2 - 5 October 2010 through 7 October 2010
ER -