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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  • Journal article
    Gowers SAN, Curto VF, Seneci CA, Wang C, Anastasova S, Vadgama P, Yang G-Z, Boutelle MGet al., 2015,

    A 3D printed microfluidic device with integrated biosensors for online analysis of subcutaneous human microdialysate

    , Analytical Chemistry, Vol: 87, Pages: 7763-7770, ISSN: 1086-4377

    This work presents the design, fabrication, and characterization of a robust 3D printed microfluidic analysis system that integrates with FDA-approved clinical microdialysis probes for continuous monitoring of human tissue metabolite levels. The microfluidic device incorporates removable needle type integrated biosensors for glucose and lactate, which are optimized for high tissue concentrations, housed in novel 3D printed electrode holders. A soft compressible 3D printed elastomer at the base of the holder ensures a good seal with the microfluidic chip. Optimization of the channel size significantly improves the response time of the sensor. As a proof-of-concept study, our microfluidic device was coupled to lab-built wireless potentiostats and used to monitor real-time subcutaneous glucose and lactate levels in cyclists undergoing a training regime.

  • Journal article
    Andreu Perez J, Leff D, Ip H, Yang GZet al., 2015,

    From Wearable Sensors to Smart Implants – Towards Pervasive and Personalised Healthcare

    , IEEE Transactions on Biomedical Engineering, Vol: 62, Pages: 2750-2762, ISSN: 1558-2531

    OBJECTIVE: This article discusses the evolution of pervasive healthcare from its inception for activity recognition using wearable sensors to the future of sensing implant deployment and data processing. METHODS: We provide an overview of some of the past milestones and recent developments, categorised into different generations of pervasive sensing applications for health monitoring. This is followed by a review on recent technological advances that have allowed unobtrusive continuous sensing combined with diverse technologies to reshape the clinical workflow for both acute and chronic disease management. We discuss the opportunities of pervasive health monitoring through data linkages with other health informatics systems including the mining of health records, clinical trial databases, multi-omics data integration and social media. CONCLUSION: Technical advances have supported the evolution of the pervasive health paradigm towards preventative, predictive, personalised and participatory medicine. SIGNIFICANCE: The sensing technologies discussed in this paper and their future evolution will play a key role in realising the goal of sustainable healthcare systems.

  • Journal article
    Gowers SAN, Curto VF, Seneci CA, Wang C, Anastasova S, Vadgama P, Yang G-Z, Boutelle MGet al., 2015,

    3D Printed Microfluidic Device with Integrated Biosensors for Online Analysis of Subcutaneous Human Microdialysate

    , Analytical chemistry, Vol: 87, Pages: 7763-7770
  • 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
    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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