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.

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    Lo BPL, Yang GZ, Merrifield R, 2016,


    The present disclosure relates to a system for detecting challenging behaviors, enabling a customizable learning experience, and providing context-aware, intelligent daily assistance for people with learning disabilities.In addition to general health problems, people with learning disabilities are known to have higher incidents of dementia, respiratory diseases, gastrointestinal cancer, ADHD/hyperkinesis and conduct disorders, epilepsy, physical and sensory impairments, dysphagia, poor oral health, and tend to be prone to injuries, accidents and falls. Often due to the lack of expressive skills, people with learning disabilities are more likely to have undiagnosed long-term conditions and which leads to high risk of premature death. With the aim of improving the care of people with learning disabilities, a new wearable sensing system is provided which comprises a new miniaturized wearable sensor, for example that may be worn either as a wrist worn or ear worn sensor, and a seamlessly integrated mobile app that adapts to individual care needs.

    Ravi D, Wong C, Lo B, Yang G-Zet al., 2016,

    Deep Learning for Human Activity Recognition: A Resource Efficient Implementation on Low-Power Devices

    , 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN), Publisher: IEEE, Pages: 71-76, ISSN: 2376-8886
    Wijayasingha L, Lo BPL, 2016,

    A Wearable Sensing Framework for Improving Personal and Oral Hygiene for People with Developmental Disabilities

    , IEEE Wireless Health 2016, Publisher: IEEE

    People with developmental disabilities often facedifficulties in coping with daily activities and many requireconstant support. One of the major health issues for peoplewith developmental disabilities is personal hygiene. Many lackthe ability, poor memory or lack of attention to carry outnormal daily activities like brushing teeth and washing hands.Poor personal hygiene may result in increased susceptibility toinfection and other health issues. To enable independent livingand improve the quality of care for people with developmentalabilities, this paper proposes a new wearable sensingframework to monitoring personal hygiene. Based on asmartwatch, this framework is designed as a pervasivemonitoring and learning tool to provide detailed evaluation andfeedback to the user on hand washing and tooth brushing. Apreliminary study was conducted to assess the performance ofthe approach, and the results showed the reliability androbustness of the framework in quantifying and assessing handwashing and tooth brushing activities.

    Zhang Y, Berthelot M, Lo B, 2016,

    Wireless Wearable Photoplethysmography Sensors for Continuous Blood Pressure Monitoring

    , IEEE Wireless Health Conference (WH), Publisher: IEEE, Pages: 81-88
    Andreu-Perez J, Leff DR, Ip HMD, Yang G-Zet al., 2015,

    From Wearable Sensors to Smart Implants-Toward Pervasive and Personalized Healthcare

    , IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, Vol: 62, Pages: 2750-2762, ISSN: 0018-9294

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