Automated detection of sensor detachments for physiological sensing in the wild

Kurt Plarre, Andrew Raij, Santanu Guha, Mustafa Al'Absi, Emre Ertin, Santosh Kumar

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

6 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationProceedings - Wireless Health 2010, WH'10
Number of pages2
StatePublished - 2010
Event1st Wireless Health Conference, WH'10 - San Diego, CA, United States
Duration: Oct 5 2010Oct 7 2010

Publication series

NameProceedings - Wireless Health 2010, WH'10


Other1st Wireless Health Conference, WH'10
Country/TerritoryUnited States
CitySan Diego, CA


  • body sensor networks
  • data quality
  • signal processing


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