Sensing

A primary motivation of our research is the monitoring of physical, physiological, and biochemical parameters - in any environment and without activity restriction and behaviour modification - through using miniaturised, wireless Body Sensor Networks (BSN). Key research issues that are currently being addressed include novel sensor designs, ultra-low power microprocessor and wireless platforms, energy scavenging, biocompatibility, system integration and miniaturisation, processing-on-node technologies combined with novel ASIC design, autonomic sensor networks and light-weight communication protocols. Our research is aimed at addressing the future needs of life-long health, wellbeing and healthcare, particularly those related to demographic changes associated with an ageing population and patients with chronic illnesses. This research theme is therefore closely aligned with the IGHI’s vision of providing safe, effective and accessible technologies for both developed and developing countries.

Some of our latest works were exhibited at the 2015 Royal Society Summer Science Exhibition.

2 column colour block - Research areas

Body Sensor Networks

Body Sensor Networks

The last decade has witnessed a rapid surge of interest in new sensing and monitoring devices for healthcare and the use of wireless wearable devices for clinical applications. One key development in this area is implantable in vivo monitoring and intervention devices.
Surgical Implants

Surgical Implants

One of the major focuses of the Hamlyn Centre is the development of miniaturised sensors embodied either as smart surgical appliances or implants to enhance the safety of surgical procedures, enhance patient care, and also the patient's quality of life.

2 column colour block - Research areas 2

ESPRIT

IoT and Smart Environments

Our main research in IoT and smart environments is focussed on the challenges of ambient sensing through the introduction of novel sensing platforms, self-configuration approaches, self-adaptive techniques, and seamless integration with wearable sensors.
Smart Environments

ESPRIT

The vision of ESPRIT is to position UK at the forefront of pervasive sensing in elite sports and promote its wider application in public life-long health, wellbeing and healthcare. Our work addresses some of the key challenges related to miniaturised wearable sensors for sports.

Citation

BibTex format

@article{Aziz:2007:10.1177/1553350607302326,
author = {Aziz, O and Atallah, L and Lo, B and ElHelw, M and Wang, L and Yang, GZ and Darzi, A},
doi = {10.1177/1553350607302326},
journal = {Surgical Innovation},
pages = {83--90},
title = {A Pervasive Body Sensor Network for Measuring Postoperative Recovery at Home},
url = {http://dx.doi.org/10.1177/1553350607302326},
volume = {14},
year = {2007}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Aziz,O
AU  - Atallah,L
AU  - Lo,B
AU  - ElHelw,M
AU  - Wang,L
AU  - Yang,GZ
AU  - Darzi,A
DO  - 10.1177/1553350607302326
EP  - 90
PY  - 2007///
SP  - 83
TI  - A Pervasive Body Sensor Network for Measuring Postoperative Recovery at Home
T2  - Surgical Innovation
UR  - http://dx.doi.org/10.1177/1553350607302326
UR  - http://sri.sagepub.com/cgi/content/abstract/14/2/83
VL  - 14
ER  -
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