Pervasive Body Sensor Network: An Approach to Monitoring the Post-operative Surgical Patient

Cambridge, Massachusetts, U.S.A April 03-April 05

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http://doi.ieeecomputersociety.org/10.1109/BSN.2006.43

International Workshop on Wearable an ...

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	ASCII Text	x
	Omer Aziz, Benny Lo, Guang-Zhong Yang, Rachel King, Ara Darzi, "Pervasive Body Sensor Network: An Approach to Monitoring the Post-operative Surgical Patient," Wearable and Implantable Body Sensor Networks, International Workshop on, pp. 13-18, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06), 2006.

	BibTex	x
	@article{ 10.1109/BSN.2006.43, author = {Omer Aziz and Benny Lo and Guang-Zhong Yang and Rachel King and Ara Darzi}, title = {Pervasive Body Sensor Network: An Approach to Monitoring the Post-operative Surgical Patient}, journal ={Wearable and Implantable Body Sensor Networks, International Workshop on}, volume = {0}, year = {2006}, isbn = {0-7695-2547-4}, pages = {13-18}, doi = {http://doi.ieeecomputersociety.org/10.1109/BSN.2006.43}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Wearable and Implantable Body Sensor Networks, International Workshop on TI - Pervasive Body Sensor Network: An Approach to Monitoring the Post-operative Surgical Patient SN - 0-7695-2547-4 SP13 EP18 A1 - Omer Aziz, A1 - Benny Lo, A1 - Guang-Zhong Yang, A1 - Rachel King, A1 - Ara Darzi, PY - 2006 KW - null VL - 0 JA - Wearable and Implantable Body Sensor Networks, International Workshop on ER -

Omer Aziz, Department of Biosurgery and Surgical Technology,Imperial College London

Benny Lo, Department of Computing, Imperial College London

Guang-Zhong Yang, Department of Computing, Imperial College London

Rachel King, Department of Computing, Imperial College London

Ara Darzi, Department of Biosurgery and Surgical Technology, Imperial College London

Patients recovering from abdominal surgery are at risk of complications due to reduced mobility as a result of post-operative pain. The ability to pervasively monitor the recovery of this group of patients and identify those at risk of developing complications is therefore clinically desirable, which may result in an early intervention to prevent adverse outcomes. This paper describes the development and evaluation of a pervasive network of body sensors developed for monitoring the recovery of post-operative patients both in the hospital and homecare settings.

Citation:

Omer Aziz, Benny Lo, Guang-Zhong Yang, Rachel King, Ara Darzi, "Pervasive Body Sensor Network: An Approach to Monitoring the Post-operative Surgical Patient," bsn, pp.13-18, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06), 2006

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