Wearable sensors in ecological rehabilitation environments
- Gina Sprint(corresponding author),
- Vladimir Borisov,
- Diane Cook,
- Douglas Weeks
- Washington State University Pullman,
- St. Luke's Rehabilitation Institute
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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.
Sustainable Development Goals
- SDG 3 Good Health and Well
Bibliographic Information
Output type
Original language
EnglishPages from-to (Number of pages)
Pages 163-166 (4 pages)Publication milestones
- Published - 2014
Publication status
Publisher
Association for Computing Machinery, IncPublication series
- Publication series name: UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
ISBN (Electronic)
9781450330473Publication IDs
- Scopus: 84908676117
