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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  • Conference paper
    Thiemjarus S, Lo BP, Yang G, 2006,

    A Spatio-Temporal Architecture for Context-Aware Sensing

    , International Workshop on Wearable and Implantable Body Sensor Networks 2006, Pages: 191-194
  • Conference paper
    Deligianni F, Lo BP, Yang G, 2006,

    Source Recovery for Body Sensor Network

    , International Workshop on Wearable and Implantable Body Sensor Networks 2006, Pages: 199-202
  • Conference paper
    Deligianni F, Lo BP, Yang G, 2006,

    Source Recovery for Body Sensor Network

    , International Workshop on Wearable and Implantable Body Sensor Networks 2006, Pages: 199-202
  • Conference paper
    Aziz O, Lo B, King R, Darzi A, Yang GZet al., 2006,

    Pervasive body sensor network: an approach to monitoring the post-operative surgical patient

    , Los Alamitos, International workshop on wearable and implantable body sensor networks, Publisher: IEEE Computer Soc, Pages: 13-16
  • Patent
    Lo B, Yang GZ, 2006,

    Gait analysis

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