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Surgical Innovation
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A Pervasive Body Sensor Network for Measuring Postoperative Recovery at Home

O. Aziz, MRCS

Department of Biosurgery and Surgical Technology, o.aziz{at}imperial.ac.uk

L. Atallah, DPhil

Institute of Biomedical Engineering Imperial College of Science, Technology, and Medicine, London, United Kingdom

B. Lo, MSc

Institute of Biomedical Engineering Imperial College of Science, Technology, and Medicine, London, United Kingdom

M. ElHelw, PhD

Institute of Biomedical Engineering Imperial College of Science, Technology, and Medicine, London, United Kingdom

L. Wang, PhD

Institute of Biomedical Engineering Imperial College of Science, Technology, and Medicine, London, United Kingdom

G.Z. Yang, PhD

Institute of Biomedical Engineering Imperial College of Science, Technology, and Medicine, London, United Kingdom

A. Darzi, FRCS, KBE

Department of Biosurgery and Surgical Technology,

Patients going home following major surgery are susceptible to complications such as wound infection, abscess formation, malnutrition, poor analgesia, and depression, all of which can develop after the fifth postoperative day and slow recovery. Although current hospital recovery monitoring systems are effective during perioperative and early postoperative periods, they cannot be used when the patient is at home. Measuring and quantifying home recovery is currently a subjective and labor-intensive process. This case report highlights the development and piloting of a wireless body sensor network to monitor postoperative recovery at home in patients undergoing abdominal surgery. The device consists of wearable sensors (vital signs, motion) combined with miniaturized computers wirelessly linked to each other, thus allowing continuous monitoring of patients in a pervasive (unobtrusive) manner in any environment. Initial pilot work with results in both the simulated (with volunteers) and the real home environment (with patients) is presented.

Key Words: body sensor networks • pervasive • recovery • postoperative

Surgical Innovation, Vol. 14, No. 2, 83-90 (2007)
DOI: 10.1177/1553350607302326
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