A Pervasive Body Sensor Network for Measuring Postoperative Recovery at Home
Abstract
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.
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Recent advances in sensor technologies have had an impact on applications for remote health, such as postoperative recovery, treatment for chronic patients, and monitoring of elderly individuals.
“Recent advances in sensor technologies have had an impact on applications for remote health [81], such as postoperative recovery [82], treatment for chronic patients [83], and monitoring of elderly individuals [84].”
From Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review (2019) · cites this paper as [82]
Aziz et al used wearable sensors to monitor the recovery of patients after abdominal surgery.
“Aziz et al [52] used wearable sensors to monitor the recovery of patients after abdominal surgery.”
From A review of wearable sensors and systems with application in rehabilitation (2012) · cites this paper as [52]
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Self-citation
- Authors
- Aziz, O., Atallah, L., Lo, B., ElHelw, M., Wang, L., Yang, G. Z., & Darzi, A.
- Affiliations
- Department of Biosurgery and Surgical Technology,
- Imperial College London (GB)
- Venue
- Surgical Innovation
- Publisher
- SAGE Publications
- Published
- 2007-06
- Volume
- 14
- Issue
- 2
- Pages
- 83-90
- ISSN
- 1553-3506 (ISSN-L)
- 1553-3514
- OpenAlex
- W2118033424
- Cited by
- 91
- References
- 14
- Citations by year
- 2025: 1 · 2023: 1 · 2022: 2 · 2021: 2 · 2020: 3 · 2019: 5 · 2018: 5 · 2017: 2 · 2016: 4 · 2015: 6 · 2014: 7 · 2013: 7 · 2012: 8
- FWCI
- 6.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Surgical Innovation (publishedVersion)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- wireless body area networks, postoperative recovery, home monitoring, abdominal surgery, wearable sensors, wireless sensor networks, vital signs monitoring, motion monitoring, ubiquitous computing, postoperative complications, remote patient monitoring
- MeSH terms
- Abdomen, Humans, Postoperative Care, Software, Digestive System Surgical Procedures, Surgical Procedures, Operative, Monitoring, Ambulatory
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