Oct 2026· Bulletin of Faculty of Physical Therapy· Vol 31· 0 citations· 20 references
TL;DR
The ReMind VR system was found to be a feasible, safe, and well-tolerated session for upper-extremity rehabilitation in stroke patients.
Abstract
Virtual reality (VR) offers promising stroke rehabilitation; however, challenges related to accessibility, and adaptability remain. ReMind is an indigenously developed, multilingual immersive VR rehabilitation system designed to support accessible and adaptable upper limb rehabilitation. This study evaluated the feasibility, safety, and duration of independent use of the ReMind device during a single session of post-stroke upper limb rehabilitation. Thirty-one patients were enrolled from the neuro-physiotherapy Out Patient Department based on inclusion criteria (first-ever unilateral arterial stroke including ischaemic and haemorrhagic, in the subacute or chronic stage, age ≥ 18, Modified Ashworth Scale score ranging 0–3 (MAS), Montréal Cognitive Assessment (MoCA) ≥ 18, ability to sit independently for ≥ 60 min). Outcome measures included the Simulator Sickness Questionnaire (SSQ), physiological measures (blood pressure, pulse, oxygen saturation), and a patient feedback questionnaire. The procedure begins with movement calibration, followed by guided repetitive task training. The duration of independent device use for upper-limb retraining post-stroke, without physiotherapist assistance, was recorded. Pre- and post-session analysis of vital signs and SSQ showed no significant changes. Most participants reported a positive experience with the VR device—90.3% rated its comfort as “very good” (71%) or “good” (19.3%), and 93.6% rated the overall experience as “very good” (74.2%) or “good” (19.4%). Interest in daily use of VR therapy was reported by 87.1% of participants, while 90.3% reported no difficulties during the single 60-minute VR session. The device was considered safe by 93.5% of users, and participants independently used the device for an average of 54.45 min. The ReMind VR system was found to be a feasible, safe, and well-tolerated session for upper-extremity rehabilitation in stroke patients.
Stroke is a leading cause of long-term disability, with a disproportionate burden in low- and middle-income countries (LMICs), where upper limb impairment emerges as one of its most prevalent and debilitating consequences. Upper limb impairment significantly limits independence and community participation, and this mak...
Chala Diriba Kenea, T. G. Abessa, Dheeraj Lamba et al.· PLoS ONE· 0 citations
A preliminary, literature-informed multi-criteria framework to guide IVR application selection for usability evaluation in upper-limb stroke rehabilitation and support multi-criteria application selection rather than selection based solely on therapeutic purpose or entertainment value is developed.
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Between 50% and 75% of intensive care unit (ICU) survivors develop post-intensive care syndrome (PICS), a cluster of physical, cognitive, and psychological impairments that reduce quality of life. Virtual reality (VR) has emerged as a candidate rehabilitation technology, but studies rarely compare immersive VR with non...
Inês Oliveira, Bruna Reis, M. Portela et al.· IEEE Access· 0 citations
Background: Stroke is a neurovascular condition that has been globally rising in prevalence due to ageing populations and an increasing burden of cardiovascular risk factors. To help patients recover their motor and neurological abilities post-stroke, physiotherapy and occupational therapy have been traditionally emplo...
Jia-Yi Sun, Huai-Zhen Tan, Ganeash Selvarajan et al.· Exploration of Neuroscience· 0 citations
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Hannah Lange, A. Schuster, S. Vock et al.· Psychotherapy and Psychosoma...· 0 citations
The virtual reality intervention improved upper limb motor function, enhanced hand dexterity, and enhanced independence in the daily life of stroke patients and is the most effective treatment method for improving upper limb motor function, enhancing hand dexterity, and enhancing independence in the daily life of strok...
Hao-Yuan Li, Chun-Hao Dai, Zi-Ting Xu et al.· Frontiers in Neurology· 0 citations
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