The Relation Between Hemiparetic Gait Patterns and Walking Function After Stroke, as Measured with Wearable Sensors
We found consistent evidence that greater toe-off angle (may reflect greater push-off) and lesser foot strike angle (may reflect lesser foot drop) were important predictors of greater walking speed and endurance. Our results suggest that wearable sensors can provide important information about joint-level kinematic patterns that are important for walking function. This information could help therapists target interventions toward specific deficits or compensatory patterns to improve walking.
Authors
- Brice T. Cleland (ORCID: https://orcid.org/0000-0001-8227-6876)
- Sangeetha Madhavan (ORCID: https://orcid.org/0000-0001-6086-0027)
- Myoung Soo Kim (ORCID: https://orcid.org/0000-0002-8975-8381)
Institutions
- Illinois College (US)
- University of Illinois Chicago (US)
Publication Details
- Journal
- Annals of Biomedical Engineering
- Published
- 2025-05-14
- DOI
- https://doi.org/10.1007/s10439-025-03754-7
- Citations
- 1
- Primary Topic
- Stroke Rehabilitation and Recovery
- Type
- article
- Field-Weighted Citation Impact
- 1.03
Funders
- National Institutes of Health
- National Center for Medical Rehabilitation Research