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.


BibTex format

author = {Bernstein, A and Varghese, RJ and Liu, J and Zhang, Z and Lo, B},
doi = {10.1007/978-3-030-01845-0_131},
pages = {658--662},
title = {An assistive ankle joint exoskeleton for gait impairment},
url = {http://dx.doi.org/10.1007/978-3-030-01845-0_131},
year = {2018}

RIS format (EndNote, RefMan)

AB - Motor rehabilitation and assistance post-stroke are becoming a major concern for healthcare services with an increasingly aging population. Wearable robots can be a technological solution to support gait rehabilitation and to provide assistance to enable users to carry out activities of daily living independently. To address the need for long-term assistance for stroke survivors suffering from drop foot, this paper proposes a low-cost, assistive ankle joint exoskeleton for gait assistance. The proposed exoskeleton is designed to provide ankle foot support thus enabling normal walking gait. Baseline gait reading was recorded from two force sensors attached to a custom-built shoe insole of the exoskeleton. From our experiments, the average maximum force during heel-strike (63.95 N) and toe-off (54.84 N) were found, in addition to the average period of a gait cycle (1.45 s). The timing and force data were used to control the actuation of tendons of the exoskeleton to prevent the foot from preemptively hitting the ground during swing phase.
AU - Bernstein,A
AU - Varghese,RJ
AU - Liu,J
AU - Zhang,Z
AU - Lo,B
DO - 10.1007/978-3-030-01845-0_131
EP - 662
PY - 2018///
SN - 2195-3562
SP - 658
TI - An assistive ankle joint exoskeleton for gait impairment
UR - http://dx.doi.org/10.1007/978-3-030-01845-0_131
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000614735000131&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - https://link.springer.com/chapter/10.1007%2F978-3-030-01845-0_131
UR - http://hdl.handle.net/10044/1/90510
ER -