The SMART 2 Personalised Self-Management Rehabilitation System

Background

Evidence suggests that post-stroke rehabilitation improves function, independence and quality of life. However, the increasing demand on services and financial constraints necessitates radical innovation and the adoption of a self-management paradigm to support home-based rehabilitation. This research developed an Information Communication Technology (ICT) solution for a post stroke Personalised Self-Managed Rehabilitation System (PSMrS). We aimed to translate current models of stroke rehabilitation into an ICT based rehabilitation system and furthermore, to explore how it could be designed with users, as a self-managed system with motivational feedback of personalised rehabilitation outcomes.

The aim of the project is to deepen understanding of the potential for technology in the support of self-management. This will be achieved by creating user-centred designs for technology, resulting in a personalised self-management system, and by carrying out extensive studies with the technology in use.

Personal Self-Maagement rehabilitation System (PSMrS)

The Intelligent Shoe

Conclusions

This research explored the models of post stroke rehabilitation and how they might be translated into an ICT based system underpinned by theories of motor relearning, neuroplasticity, self-management and behaviour change. The methodologies used in this study have ensured that the interactive technology developed has been driven by the needs of the stroke survivors and their carers in the context of their journey to both recovery and adaptation. The participatory and user-centred nature of the research has resulted in a personalised system for self-managed rehabilitation which has the potential to change motor behaviour and promote the achievement of life goals for stroke survivors.

Meet the team:

Professor Sue Mawson (Project lead, University of Sheffield): S.mawson@sheffield.ac.uk

Dr Jack Parker (Research Fellow, University of Sheffield): Jack.parker@sheffield.ac.uk

Miss Lauren Powell (Research Associate, University of Sheffield): L.a.powell@sheffield.ac.uk

Dr Ben Heller (Biomechanist, Sheffield Hallam University): B.heller@shu.ac.uk

Publications

- Mario Munoz-Organero, Jack Parker, Lauren Powell, Richard Davies and Susan Mawson IEEE Sensors Journal Volume: 17, Issue: 10, May15, 15 2017.

- Mario Munoz-Organero, Jack Parker, Lauren Powell and Susan Mawson. Sensors. MDPI. Volume 16. October 2016. Sensors 2016, 16(10), 1631; doi: 10.3390/s16101631. ISSN 1424-8220

- Mawson S, Nasr N, Parker J, Davies R, Zheng H, Mountain G. JMIR Rehabilitation and Assistive Technologies. 2016; 3(1):e1.

- Davies R, Parker J, McCullagh P, Zheng H, Nugent C, Mawson S. JMIR Rehabilitation and Assistive Technologies. Vol 3, No 2 (2016): Jul-Dec

- Powell, L., Parker, J., Martyn-St James, M., Mawson, S. (2016). J Med Internet Res 2016;18(10): e259

- Nasr, N., Mawson, S., Wright, P., Parker, J., Mountain, G. (2016). Global Qualitative Nurse Research. 3: 1–9 

- Mawson S, Nasrin N, Parker J, Zheng H, Davies R, and Mountain G (2014) Disability and Rehabilitation: Assistive Technology, 9(6): 521-528.

- Parker J, Mawson S, Mountain G, Nasrin N, Davies R and Zheng H (2014) Disability and Rehabilitation: Assistive Technology, 9(6): 529-538.

- Mountain GA, Ware PM, Hammerton J, Mawson SJ, Zheng J, Davies R, Black N, Zhou H, Hu H, Harris N, & Eccleston (2006) The SMART Project: A User Led Approach to Developing Applications for Domiciliary Stroke Rehabilitation.  In: Clarkson P, Langdon J, and Robinson P (Eds) Designing Accessible Technology, London: Springer-Verlag