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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  • PATENT
    Lo BPL, Yang GZ, Merrifield R, 2016,

    A SENSING SYSTEM

    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.

  • CONFERENCE PAPER
    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
  • CONFERENCE PAPER
    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
  • JOURNAL ARTICLE
    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
  • JOURNAL ARTICLE
    Andreu-Perez J, Poon CCY, Merrifield RD, Wong STC, Yang G-Zet al., 2015,

    Big Data for Health

    , IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, Vol: 19, Pages: 1193-1208, ISSN: 2168-2194

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