Attitudes towards a sensor-feedback technology in gait rehabilitation of patients after stroke

M. Nieboer*, L.J. Jie, L. Willemse, S. Peek, S. Braun, E. Wouters

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


Introduction Intensive gait training is important for effective rehabilitation of people after stroke. "Stappy" is a sensor-feedback system that provides real-time feedback on the persons gait pattern/performance during training. The main aim of this study was to assess attitudes towards "Stappy" in people after stroke to practise walking performance independently at home. Methods Demographics were collected. Frequency of practice with "Stappy" was monitored through the system. Participants used "Stappy" at home for two weeks. Semi-structured interviews were conducted to explore patient experiences with "Stappy" afterwards. Interviews were analysed using thematic analysis. Results Seventeen people after stroke (13 males, mean age 65, 17 to 172 months after stroke) were interviewed. There was a large variability (ranging from 0 to 14 days) in frequency of use over the two-week period. Although, thirty-eight percent were non-users, participants seemed satisfied about the option of feedback of the system on people's gait pattern. Moderate to frequent users reported the ability to integrate "Stappy" into daily walking and the presence of support by the social environment as important factors for use. Conclusion In a sub sample of stroke patients the ability to receive real-time feedback during practice about walking performance at home was viewed positively. Six participants did not or hardly used the sensor-feedback technology, even though they were positive about potential benefits. This implies that mHealth is not eligible for all individuals. To improve adherence various considerations were derived from this study, that may further optimise the frequency and personalise the use of the technology.
Original languageEnglish
Number of pages7
JournalDisability and Rehabilitation: Assistive Technology
Publication statusE-pub ahead of print - 7 Jun 2021


  • Gait
  • sensor-feedback
  • attitudes
  • stroke
  • rehabilitation
  • CARE

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