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Updated: Jul 27, 2025
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Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System
Published on: December 29, 2023
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A digital exercise and augmented reality training system improved mobility among stroke patients: A randomized
Ilanit Evron1,2,1, Oren Schwartz3,4,1, Anna Sajina2
1Department of Physiotherapy, Sourasky Medical Center, Tel Aviv, Israel.
Summary
The Selfit system, a digital and augmented reality tool, shows promise in improving mobility and gait for early sub-acute stroke patients compared to traditional therapy.
Area of Science:
- Rehabilitation Medicine
- Digital Health
- Neuroscience
Background:
- The Selfit system was developed to enhance mobility and gait functions in stroke survivors.
- It integrates digital exercises with augmented reality (AR) for training.
Purpose of the Study:
- To assess the impact of the Selfit system on mobility, gait, and self-efficacy in stroke patients.
- To evaluate the effectiveness of AR-based digital exercises in stroke rehabilitation.
Main Methods:
- A randomized controlled trial involving 25 early sub-acute stroke patients.
- Intervention group received Selfit system plus standard physical therapy; control group received conventional therapy.
- Key assessments included Timed Up and Go (TUG), 10-meter walk test, Dynamic Gait Index (DGI), and Activity-specific Balance Confidence (ABC) scale.
Main Results:
- The intervention group practiced more per session (19.7% increase, p=0.002).
- A significant improvement was observed in post-TUG scores for the intervention group (p=0.04).
- No significant differences were found in ABC, DGI, or 10-meter walk test scores between groups. High satisfaction reported by users and therapists.
Conclusions:
- The Selfit system demonstrates potential as an effective intervention for improving mobility and gait in early sub-acute stroke patients.
- Augmented reality and digital exercises may offer benefits beyond conventional physical therapy.
