This paper is in the following e-collection/theme issue:

Emerging Technologies for Rehabilitation (261) Ubiquitous Health (uHealth) (123) Wearable Devices and Sensors (888)

Published on in Vol 3, No 2 (2016): Jul-Dec

A Personalized Self-Management Rehabilitation System for Stroke Survivors: A Quantitative Gait Analysis Using a Smart Insole

A Personalized Self-Management Rehabilitation System for Stroke Survivors: A Quantitative Gait Analysis Using a Smart Insole

A Personalized Self-Management Rehabilitation System for Stroke Survivors: A Quantitative Gait Analysis Using a Smart Insole

Authors of this article:

Richard John Davies1 Author Orcid Image ;   Jack Parker2 Author Orcid Image ;   Paul McCullagh1 Author Orcid Image ;   Huiru Zheng1 Author Orcid Image ;   Chris Nugent1 Author Orcid Image ;   Norman David Black1 Author Orcid Image ;   Susan Mawson2 Author Orcid Image
Article Authors Cited by (14) Tweetations (5) Metrics

Richard John Davies   1 , BEng (Hons) ;   Jack Parker   2 , BSc (Hons), PhD ;   Paul McCullagh   1 , BSc, PhD ;   Huiru Zheng   1 , BEng, MSc, PgCHET, PhD ;   Chris Nugent   1 , BEng, DPhil ;   Norman David Black   1 , BSc, PhD ;   Susan Mawson   2 , BSc (Hons), PhD

1 Computer Science Research Institute, Faculty of Computing and Engineering, Ulster University, Belfast, United Kingdom

2 School of Health and Related Research, University of Sheffield, Sheffiled, United Kingdom

Corresponding Author:

  • Richard John Davies, BEng (Hons)
  • Computer Science Research Institute
  • Faculty of Computing and Engineering
  • Ulster University
  • Jordanstown
  • Shore Road, Newtownabbey
  • Belfast, BT37 0QB
  • United Kingdom
  • Phone: 44 02890 368913
  • Fax: 44 02890 366216
  • Email: rj.davies@ulster.ac.uk