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Automated detection of sensor detachments for physiological sensing in the wild

Authors:

Santosh KumarAuthors Info & Claims

WH '10: Wireless Health 2010

Pages 216 - 217

https://doi.org/10.1145/1921081.1921119

Published: 05 October 2010 Publication History

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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.

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Hovsepian Kal'Absi MErtin EKamarck TNakajima MKumar SMase KLangheinrich MGatica-Perez DGellersen HChoudhury TYatani K(2015)cStressProceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/2750858.2807526(493-504)Online publication date: 7-Sep-2015
https://dl.acm.org/doi/10.1145/2750858.2807526
Hossain SAli ARahman MErtin EEpstein DKennedy APreston KUmbricht AChen YKumar SWolisz ALiu JZhong L(2014)Identifying drug (cocaine) intake events from acute physiological response in the presence of free-living physical activityProceedings of the 13th international symposium on Information processing in sensor networks10.5555/2602339.2602348(71-82)Online publication date: 15-Apr-2014
https://dl.acm.org/doi/10.5555/2602339.2602348
Rahman MBari RAli ASharmin MRaij AHovsepian KHossain SErtin EKennedy AEpstein DPreston KJobes MBeck JKedia SWard Kal'Absi MKumar SBaldi PWang W(2014)Are we there yet?Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics10.1145/2649387.2649433(479-488)Online publication date: 20-Sep-2014
https://dl.acm.org/doi/10.1145/2649387.2649433
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Index Terms

Automated detection of sensor detachments for physiological sensing in the wild
1. Applied computing
  1. Life and medical sciences

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Information & Contributors

Information

Published In

WH '10: Wireless Health 2010

October 2010

232 pages

ISBN:9781605589893

DOI:10.1145/1921081

General Chairs:
Irwin Mark Jacobs
Qualcomm Incorporated
,
Patrick Soon-Shiong
UCLA Wireless Health Institute
,
Eric Topol
West Wireless Institute
,
Chris Toumazou
Institute of Biomedical Engineering, Imperial College London

In-Cooperation

SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 October 2010

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Demonstration

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WH '10

Sponsor:

WLSA

WH '10: Wireless Health 2010

October 5 - 7, 2010

California, San Diego

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Overall Acceptance Rate 35 of 139 submissions, 25%

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Cited By

View all

Hovsepian Kal'Absi MErtin EKamarck TNakajima MKumar SMase KLangheinrich MGatica-Perez DGellersen HChoudhury TYatani K(2015)cStressProceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/2750858.2807526(493-504)Online publication date: 7-Sep-2015
https://dl.acm.org/doi/10.1145/2750858.2807526
Hossain SAli ARahman MErtin EEpstein DKennedy APreston KUmbricht AChen YKumar SWolisz ALiu JZhong L(2014)Identifying drug (cocaine) intake events from acute physiological response in the presence of free-living physical activityProceedings of the 13th international symposium on Information processing in sensor networks10.5555/2602339.2602348(71-82)Online publication date: 15-Apr-2014
https://dl.acm.org/doi/10.5555/2602339.2602348
Rahman MBari RAli ASharmin MRaij AHovsepian KHossain SErtin EKennedy AEpstein DPreston KJobes MBeck JKedia SWard Kal'Absi MKumar SBaldi PWang W(2014)Are we there yet?Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics10.1145/2649387.2649433(479-488)Online publication date: 20-Sep-2014
https://dl.acm.org/doi/10.1145/2649387.2649433
Hossain SAli ARahman MDavid Epstein EKennedy APreston KUmbricht AChen YKumar S(2014)Identifying drug (cocaine) intake events from acute physiological response in the presence of free-living physical activityIPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks10.1109/IPSN.2014.6846742(71-82)Online publication date: Apr-2014
https://doi.org/10.1109/IPSN.2014.6846742
Rahman MAli APlarre Kal'Absi MErtin EKumar SJacobs ISoon-Shiong PTopol EToumazou C(2011)mConverseProceedings of the 2nd Conference on Wireless Health10.1145/2077546.2077557(1-10)Online publication date: 10-Oct-2011
https://dl.acm.org/doi/10.1145/2077546.2077557
Ertin EStohs NKumar SRaij Aal'Absi MShah SLiu JLevis PRömer K(2011)AutoSenseProceedings of the 9th ACM Conference on Embedded Networked Sensor Systems10.1145/2070942.2070970(274-287)Online publication date: 1-Nov-2011
https://dl.acm.org/doi/10.1145/2070942.2070970

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