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
    Spulber I, Chen Y-M, Papi E, Anastasova-Ivanova S, Bergmann J, McGregor AH, Georgiou Pet al., 2015,

    Live demonstration: Wearable electronics for a smart garment aiding rehabilitation

    , Pages: 1912-1912
  • Journal article
    Poon CCY, Lo BPL, Yuce MR, Alomainy A, Hao Yet al., 2015,

    Body Sensor Networks: In the Era of Big Data and Beyond.

    , IEEE Rev Biomed Eng, Vol: 8, Pages: 4-16

    Body sensor networks (BSN) have emerged as an active field of research to connect and operate sensors within, on or at close proximity to the human body. BSN have unique roles in health applications, particularly to support real-time decision making and therapeutic treatments. Nevertheless, challenges remain in designing BSN nodes with antennas that operate efficiently around, ingested or implanted inside the human body, as well as new methods to process the heterogeneous and growing amount of data on-node and in a distributed system for optimized performance and power consumption. As the battery operating time and sensor size are two important factors in determining the usability of BSN nodes, ultralow power transceivers, energy-aware network protocol, data compression, on-node processing, and energy-harvesting techniques are highly demanded to ultimately achieve a self-powered BSN.

  • Conference paper
    Wong C, Zhang Z, Lo B, Yang G-Zet al., 2014,

    Markerless motion capture using appearance and inertial data

    , Pages: 6907-6910
  • Journal article
    Zheng Y-L, Ding X-R, Poon CCY, Lo BPL, Zhang H, Zhou X-L, Yang G-Z, Zhao N, Zhang Y-Tet al., 2014,

    Unobtrusive Sensing and Wearable Devices for Health Informatics

    , IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, Vol: 61, Pages: 1538-1554, ISSN: 0018-9294
  • Journal article
    Atallah L, Wiik A, Lo B, Cobb JP, Amis AA, Yang G-Zet al., 2014,

    Gait asymmetry detection in older adults using a light ear-worn sensor

    , PHYSIOLOGICAL MEASUREMENT, Vol: 35, Pages: N29-N40, ISSN: 0967-3334

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