The Sensor Physiotherapy Intervention (SPIN) Research Group
The SPIN research group is active across a range of multidisciplinary projects to make positive changes to the delivery of healthcare management for musculoskeletal and diabetic conditions.
The SPIN research group incorporates a team of Clinical Engineers and Physiotherapists specialising in clinical movement science. This group brings together skills and experiences from both disciplines to address challenges brought about by musculoskeletal and diabetic conditions.
- To improve understanding of human movement strategies and the applications of biomechanical analysis to optimise movement assessments into clinical practice.
- To generate recommendations on how individuals with musculoskeletal conditions can benefit from exercise based on objective functional tests.
- To find innovative ways of treating individuals with musculoskeletal and diabetic conditions using technology in the clinic and home settings.
The mission of the SPIN research group is to excel in research and the use of digital technology in movement science and rehabilitation, aimed at finding innovative solutions to delivering even better quality of healthcare and outcomes for those living with musculoskeletal and diabetic conditions.
The SPIN research group has access to laboratories with a number of state-of-the-art equipment, which enable us to complete world-class research in clinical movement analysis and physiotherapy.
The following list is not comprehensive but includes our most important facility:
- Inertial Measurement Units (Xsens MVN) that allows us to accurately measure the kinematics and dynamics of the relevant joints and body segments involved in the functional and mote tasks.
- The MotekForcelink GRAIL system that is a state-of-the-art facility for movement and rehabilitation assessments and research.
- TRAK is web-based tool that help us to provide a patient-focused approach by sharing information, improving exercise prescription, accessing advice from a physiotherapist and monitoring progress.
- Holden, M. A. et al., 2020. Guidance for implementing best practice therapeutic exercise for people with knee and hip osteoarthritis: what does the current evidence base tell us?. Arthritis Care and Research (10.1002/acr.24434)
- Islam, R. et al., 2020. Non-proprietary movement analysis software using wearable inertial measurement units on both healthy participants and those with anterior cruciate ligament reconstruction across a range of complex tasks: validation study. JMIR mHealth and uHealth 8 (6) e17872. (10.2196/17872)
- Abdallat, R. et al., 2020. Dual-task effects on performance of gait and balance in people with knee pain: a systematic scoping review. Journal of Clinical Medicine 9 (5) 1554. (10.3390/jcm9051554)
- Wan, Y. et al., 2019. Effect of visual feedback on the performance of the star excursion balance test. Journal of Rehabilitation and Assistive Technologies Engineering 6 , pp.1-6. (10.1177/2055668319862139)
- Nicholas, K. et al. 2019. A qualitative evaluation of physiotherapists acceptability of a clinical sensor based approach to movement feedback rehabilitation. Osteoarthritis and Cartilage 27 (S1), pp.S447-S448. (10.1016/j.joca.2019.02.483)
- Al-Amri, M. and Button, K. 2019. Transforming physiotherapy rehabilitation: development of a sensor based portable movement analysis intervention. Presented at: 17th Asian Federation of Sports Medicine Congress Riyadh, Saudi Arabia 13-15th December 2019. , pp.-.
- Felemban, M. et al. 2019. Comparison of joint kinematics measurements during single leg distance hop by using body-worn sensors and video camera motion analysis.. Presented at: Physiotherapy UK Birmingham 1-2 November 2019. , pp.-.
- Wan, Y. et al., 2019. Effect of slope squat on lower-extremity muscle activity. Presented at: ISPGR World Congress Edinburgh, Scotland, U.K. 30 June - 4th July 2019. , pp.-.
- Al-Amri, M. et al. 2018. Inertial measurement units for clinical movement analysis: reliability and concurrent validity. Sensors 18 (3) 719. (10.3390/s18030719)
- Nicholas, K. et al. 2018. Sensor-informed physiotherapy following anterior cruciate ligament reconstruction: a case report. Presented at: 17th Annual Meeting of the Clinical Movement Analysis Society Dublin 12-13 April 2018.
- The Wales European Funding Office, Development of a Physiotherapy Intelligent Virtual Reality System, February 2021 for 6 months, (Mohammad Al-Amri (PI) & Kate Button (applicant)).
- The European Regional Development Fund via the INTERREG France (Channel) England programme, Early Warning Wearable Device (EWWD) Project: An Innovative Remote Monitoring Solution That Supports Patients with Musculoskeletal Disorders and Diabetes, Whilst Creating Efficiencies in Clinical Management of Disorders, October 2020 for 30 months, (Mohammad Al-Amri (PI) & Kate Button (applicant)).
- The Wales European Funding Office, Personalisation of Rehabilitation for Body Motion Related Injuries Through Wearable Electronics, January 2021-Jan 2022, (Mohammad Al-Amri (PI) & Kate Button (applicant)).
- Institutional Strategic Support Welcome Trust Mobility and Skills research award, Consolidate Research Collaboration with the Research Group at University of Melbourne: Usability and acceptability of a portable virtual reality toolkit for people with knee pain, January- June 2020, (Mohammad Al-Amri (PI) & Kate Button (applicant).
- Cardiff Institute of Tissue Engineering and Repair Seedcorn award, “Development of a Portable Virtual Reality Physiotherapy Game for Knee Rehabilitation”, August 2019 – January 2020, (Mohammad Al-Amri (PI) & Kate Button (applicant).
- Institutional Strategic Support Fund Welcome Trust Public Engagement Proof-of-Concept award, “Stakeholder evaluation of a sensor-based movement toolkit intervention for physiotherapy of knee conditions: an all Wales approach”, August 2018 – August 2019, (Mohammad Al-Amri (PI) & Kate Button (applicant).
- Research capacity building collaboration Wales, “The patient experience of a biomechanically informed movement feedback approach to physiotherapy using wearable sensor technology”, July 2018 – June 2019, (Kate Button (PI)).
Applied Technology in Clinical Human Movement Analysis: This two-day course aims to provide comprehensive training in the principles of clinical technology essential to physiotherapy development.