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
    Yu R, Yang G-Z, Lo BPL, 2014,

    Autonomic Body Sensor Networks

    , IEEE MTT-S International Microwave Workshop Series on: RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-Bio 2014), Publisher: IEEE
  • Conference paper
    Li L, Atallah L, Lo B, Yang G-Zet al., 2014,

    Feature Extraction from Ear-Worn Sensor Data for Gait Analysis

    , IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Publisher: IEEE, Pages: 560-563
  • Conference paper
    Spulber I, Papi E, Chen Y-M, Anastasova-Ivanova S, Bergmann J, Georgiou P, McGregor AHet al., 2014,

    Development of a wireless multi-functional body sensing platform for smart garment integration

    , IEEE Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, Pages: 157-160, ISSN: 2163-4025
  • Conference paper
    zhang ZZ, shang JS, Seneci CA, yang GZYet al., 2013,

    Snake robot shape sensing using microinertial sensors.

    , In 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems
  • Journal article
    Atallah L, Aziz O, Gray E, Lo B, Yang G-Zet al., 2013,

    An Ear-Worn Sensor for the Detection of Gait Impairment After Abdominal Surgery

    , SURGICAL INNOVATION, Vol: 20, Pages: 86-94, ISSN: 1553-3506

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