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Real-Time Pervasive Monitoring for Postoperative Care

  • Benny Lo
  • Louis Atallah
  • Omer Aziz
  • Mohammed El ElHew
  • Ara Darzi
  • Guang-Zhong Yang
Part of the IFMBE Proceedings book series (IFMBE, volume 13)

Abstract

Post surgical care is an important part of the surgical recovery process. With the introduction of minimally invasive surgery (MIS), the recovery time of patients has been shortened significantly. This has led to a shift of postoperative care from hospital to home environment. To prevent the occurrence of adverse events, the care of these patients is mainly relied on routine visits by home-care nurses. This type of episodic examination can only capture a snapshot of the overall recovery process, and many early signs of potential complication can go undetected. The development of Body Sensor Networks (BSNs) has enabled the use of miniaturised wireless sensors for continuous monitoring of postoperative patients. This paper examines the potential of processing-on-node algorithms for further reducing the wireless bandwidth, and therefore the overall power consumption of the sensors. The accuracy and robustness of the technique are demonstrated with lab experiments and a preliminary clinical case study.

Keywords

postoperative care real-time analysis Bayesian classifier multivariate Gaussian model 

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Copyright information

© International Federation for Medical and Biological Engineering 2007

Authors and Affiliations

  • Benny Lo
    • 1
  • Louis Atallah
    • 1
  • Omer Aziz
    • 2
  • Mohammed El ElHew
    • 1
  • Ara Darzi
    • 2
  • Guang-Zhong Yang
    • 1
  1. 1.Institute of Biomedical EngineeringUK
  2. 2.Department of Biosurgery and Surgical TechnologyImperial College LondonLondon

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