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Updated: Feb 11, 2026

A Rehabilitation Program of Exoskeleton-assisted Body Weight-Supported Treadmill Training with Non-immersive Virtual Reality for Stroke Patients
Published on: May 16, 2025
A narrative review of gait training after stroke and a proposal for developing a novel gait training device that
1a Department of Physical Therapy & Rehabilitation Science , University of Kansas Medical Center , Kansas City , KS , USA.
Background:
Gait impairment is common in stroke survivors. Recovery of walking ability is one of the most pressing objectives in stroke rehabilitation.
Objectives:
Of this report are to briefly review recent progress in gait training after stroke including the use of partial body weight-supported treadmill training (PBWSTT) and robot-assisted step training (RAST), and propose a minimal assistance strategy that may overcome some of limitations of current RAST.
Methods:
The literature review emphasizes a dilemma that recent randomized clinical trials did not support the use of RAST. The unsatisfactory results of current RAST clinical trials may be partially due to a lack of careful analysis of movement deficiencies and their relevance to gait training task specificity after stroke. Normal movement pattern is implied to be part of task specificity in the current RAST. Limitations of such task specificity are analyzed.
Results:
Based on the review, we redefine an alternative set of gait training task specificity that represents a minimal assistance strategy in terms of assisted body movements and amount of assistance. Specifically, assistances are applied only to hip flexion and ankle dorsiflexion of the affected lower limb during swing phase. Furthermore, we propose a conceptual design of a novel device that may overcome limitations of current RAST in gait training after stroke. The novel device uses a pulling cable, either manually operated by a therapist or automated by a servomotor, to provide assistive forces to help hip flexion and ankle dorsiflexion of the affected lower limb during gait training.
Conclusion:
The proposed minimal assistance strategy may help to design better devices for gait or other motor training.
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