Development and pilot clinical evaluation of a haptic-based perception-empathy biofeedback device for gait rehabilitation

Kenta Saichi, Kazuhiro Yasuda, Yu Kitaji, Naomi Kaibuki, Hiroyasu Iwata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Recent studies have shown that haptic feedback on the body, either at or away from the desired gait parameter to be changed, can improve gait performance. Here we introduced a haptic-based biofeedback device to supplement the foot pressure information of a paretic foot with a wearable vibrotactile biofeedback device attached to the back. This system provides information regarding a patient's foot pressure pattern to the patient and physical therapist. Therefore, the biofeedback system can share information regarding abnormal gait patterns between patients and therapists. This pilot study showed that the device immediately improved the stride length during walking, but not walking speed. Furthermore, subjective reports indicated that synchronizing foot pressure pattern information between the patient and therapist induced higher patient motivation for gait rehabilitation.

Original languageEnglish
Title of host publication2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6158-6161
Number of pages4
ISBN (Electronic)9781457702204
DOIs
Publication statusPublished - 2016 Oct 13
Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States
Duration: 2016 Aug 162016 Aug 20

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2016-October
ISSN (Print)1557-170X

Other

Other38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Country/TerritoryUnited States
CityOrlando
Period16/8/1616/8/20

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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