Wearable-Sensor and Virtual Reality-Based Interventions for Gait and Balance Rehabilitation in Stroke Survivors: A Systematic Review

摘要

Stroke remains one of the leading causes of disability worldwide, often resulting in persistent impairments in gait and balance. Traditional rehabilitation methods—though beneficial—are limited by factors such as therapist dependency, low patient adherence, and restricted access. In recent years, sensor-supported technologies, including virtual reality (VR), robotic-assisted gait training (RAGT), and wearable feedback systems, have emerged as promising adjuncts to conventional therapy. This systematic review evaluates the effectiveness of wearable and immersive technologies for gait and balance rehabilitation in adult stroke survivors. Following PRISMA guidelines, a systematic search of the PubMed and ScienceDirect databases retrieved 697 articles. After screening, eight studies published between 2015 and 2025 were included, encompassing 186 participants. The interventions included VR-based gait training, electromechanical devices (e.g., HAL, RAGT), auditory rhythmic cueing, and smart insoles, compared against conventional rehabilitation or baseline function. Most studies reported significant improvements in motor function, dynamic balance, or gait speed, particularly when interventions were intensive, task-specific, and personalized. Patient engagement, adherence, and feasibility were generally high. However, heterogeneity in study design, small sample sizes, and limited long-term data reduced the strength of the evidence. Technologies were typically implemented as complementary tools rather than standalone treatments. In conclusion, wearable and immersive systems represent promising adjuncts to conventional stroke rehabilitation, with potential to enhance motor outcomes and patient engagement. However, the heterogeneity in protocols, small sample sizes, and methodological limitations underscore the need for more robust, large-scale trials to validate their clinical effectiveness and guide implementation.