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Wearable sensors in ecological rehabilitation environments

  • Gina Sprint(corresponding author)
    ,
  • Vladimir Borisov
    ,
  • Diane Cook
    ,
  • Douglas Weeks
*Corresponding author for this work
  • Washington State University Pullman
    ,
  • St. Luke's Rehabilitation Institute
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution

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Citations
4
Captures
41

Abstract

Rehabilitation after injury or stroke is a long process towards regaining function, mobility, and independence. Changes exhibited in these areas tend to be subtle and highly dependent on the patient, their injury, and the intensity of rehabilitation efforts. Toprovide a fine-grained assessment of patient progress, we undertook a study to quantitatively capture movements during inpatient rehabilitation. We utilized wearable inertial sensors to collect data rom participants receiving therapy services at an inpatient rehabilitation facility. Participant performance was recorded in an ecological environment on a sequence of ambulatory tasks. A custom software system was developed to process sensor signals and compute metrics describing ambulation. A comparison of metrics one week apart suggests quantifiable changes in movement.

Bibliographic Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution

Original language

English

Pages from-to (Number of pages)

Pages 163-166 (4 pages)

Publication milestones

  • Published - 2014

Publication status

Published - 2014

Publisher

Association for Computing Machinery, Inc

Publication series

  • Publication series name: UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

ISBN (Electronic)

9781450330473

Publication IDs

  • Scopus: 84908676117

Host publication title

UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing