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Mobility Rehab visual feedback system for gait rehabilitation in older adults.
- Source :
-
Journal of neuroengineering and rehabilitation [J Neuroeng Rehabil] 2023 Oct 24; Vol. 20 (1), pp. 144. Date of Electronic Publication: 2023 Oct 24. - Publication Year :
- 2023
-
Abstract
- Background: Gait and balance impairments are among the main causes of falls in older adults. The feasibility and effectiveness of adding sensor-based feedback to physical therapy (PT) in an outpatient PT setting is unknown. We evaluated the feasibility and effectiveness of PT intervention combined with a therapist-assisted visual feedback system, called Mobility Rehab, (PT + MR) in older adults.<br />Methods: Twenty-eight older adults with and without neurological diseases were assigned either PT + MR (n = 22) or PT alone (n = 6). Both groups performed 8 sessions (individualized) of 45 min long (30 min for gait training and 15 min for endurance, strength, and balance exercises) in an outpatient clinic. Mobility Rehab uses unobtrusive, inertial sensors on both wrists and feet, and at the sternum level with real-time algorithms to provide real-time feedback on five gait metrics (step duration, stride length, elevation at mid-swing, arm swing range-of-motion [ROM], and trunk coronal ROM), which are displayed on a tablet. The primary outcome was the Activities-specific Balance Confidence scale (ABC). The secondary outcome was gait speed measured with wearable inertial sensors during 2 min of walking.<br />Results: There were no between-group differences at baseline for any variable (P > 0.05). Neither PT + MR nor PT alone showed significant changes on the ABC scores. PT + MR, but not PT alone, showed significant improvements in gait speed and arm swing ROM. The system was evaluated as 'easy to use' by the PT.<br />Conclusions: Our preliminary results show that PT + MR improves gait speed in older adults with and without neurological diseases in an outpatient clinic.<br />Clinical Trial Registration: www.<br />Clinicaltrials: gov , identifier: NCT03869879.<br /> (© 2023. BioMed Central Ltd., part of Springer Nature.)
Details
- Language :
- English
- ISSN :
- 1743-0003
- Volume :
- 20
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Journal of neuroengineering and rehabilitation
- Publication Type :
- Academic Journal
- Accession number :
- 37875971
- Full Text :
- https://doi.org/10.1186/s12984-023-01260-2