Effectiveness of Augmented Reality for Lower Limb Rehabilitation: A Systematic Review

Chang, Hongbin; Song, Yang; Cen, Xuanzhen

doi:10.1155/2022/4047845

Cited by 5 publications

(1 citation statement)

References 41 publications

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“…They suggested that patients getting VR and AR treatment for hand rehabilitation can be improved over conventional therapy. A systematic review in Reference 26 included studies on using AR for lower limb rehabilitation for elderly adults, stroke patients, and Parkinson's patients. It initially proved the notable benefits of AR‐based therapies on lower limb rehabilitation.…”

Section: Introductionmentioning

confidence: 99%

A review of the application of virtual and augmented reality in physical and occupational therapy

Luckykumar Dwarkadas,

Talasila,

Challa

et al. 2024

Softw Pract Exp

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This paper includes a research review in five bibliographic databases on using the application of virtual reality (VR) and augmented reality (AR) in physical and occupational therapy (POT). This literature review addresses five research questions and two sub‐research questions. A total of 36 relevant studies were selected in the review based on the defined keywords and inclusion‐exclusion criteria. The primary motivation for using the application of VR and AR in POT is that it is accurate, involves higher patient participation, and requires less therapy recovery time. The standard software tool used is the Unity 3D game engine, and the common device used is the Oculus Rift HMD. Various applications of VR and AR consist of different VR environments and AR contents used in POT. Post‐stroke rehabilitation, rehabilitation exercises, pain management, mental and behavioral disorders, and autism in children are the main aspects addressed through the VR and AR environments. Literature review indicates that questionnaires, interviews, and observation are the primary metrics for measuring therapy's effectiveness. The study's findings show positive results such as reduced treatment time, nervousness, pain, hospitalization period, making therapy enjoyable and encouraging, improved quality of life, and focus on using the application of VR and AR in POT. This review will be relevant to researchers, VR and AR application designers, doctors, and patients using the application of VR and AR in POT. Further research addressing multiple participants with clinical trials, adding new VR environments and AR content in VR and AR applications, including follow‐up sessions, and increasing training sessions while using the application of VR and AR in POT are recommended.

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Section: Introductionmentioning

confidence: 99%

A review of the application of virtual and augmented reality in physical and occupational therapy

Luckykumar Dwarkadas,

Talasila,

Challa

et al. 2024

Softw Pract Exp

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Ηand dexterities assessment in stroke patients based on augmented reality and machine learning through a box and block test

Papagiannis,

Triantafyllou,

Yiannopoulou

et al. 2024

Sci Rep

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A popular and widely suggested measure for assessing unilateral hand motor skills in stroke patients is the box and block test (BBT). Our study aimed to create an augmented reality enhanced version of the BBT (AR-BBT) and evaluate its correlation to the original BBT for stroke patients. Following G-power analysis, clinical examination, and inclusion–exclusion criteria, 31 stroke patients were included in this study. AR-BBT was developed using the Open Source Computer Vision Library (OpenCV). The MediaPipe's hand tracking library uses a palm and a hand landmark machine learning model to detect and track hands. A computer and a depth camera were employed in the clinical evaluation of AR-BBT following the principles of traditional BBT. A strong correlation was achieved between the number of blocks moved in the BBT and the AR-BBT on the hemiplegic side (Pearson correlation = 0.918) and a positive statistically significant correlation (p = 0.000008). The conventional BBT is currently the preferred assessment method. However, our approach offers an advantage, as it suggests that an AR-BBT solution could remotely monitor the assessment of a home-based rehabilitation program and provide additional hand kinematic information for hand dexterities in AR environment conditions. Furthermore, it employs minimal hardware equipment.

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Efficacy of a computer vision-based system for exercise management in patients with knee osteoarthritis: a study protocol for a randomised controlled pilot trial

Xu,

Chen,

Wang

et al. 2024

BMJ Open

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IntroductionThis study aims to evaluate the efficacy of a computer vision system in guiding exercise management for patients with knee osteoarthritis (OA) by comparing functional improvement between a tele-rehabilitation versus an outpatient intervention program.Methods and analysisThis is a prospective, single-blind, randomised controlled trial of 60 patients with knee OA who will be randomly assigned to exercise therapy (n=30) or control (n=30) . Both groups will receive treatment two times per week for 12 weeks. The primary outcome of the study will be assessed using the University of Western Ontario and McMaster University Osteoarthritis Index (WOMAC). The Knee Injury and Osteoarthritis Outcome Score will be assessed, as well as the visual analogue scale, quality of life score and physical fitness score. All observations will be collected at baseline and at weeks 4, 8 and 12 during the intervention period, as well as at weeks 4, 8, 12 and 24 during the follow-up visits after the end of the intervention.Ethics and disseminationThis evaluator-blinded, prospective, randomised controlled study was approved by the Biomedical Ethics Review Committee of West China Hospital of Sichuan University.Trial registration numberChiCTR2300070319.

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Effectiveness of Augmented Reality for Lower Limb Rehabilitation: A Systematic Review

Cited by 5 publications

References 41 publications

A review of the application of virtual and augmented reality in physical and occupational therapy

A review of the application of virtual and augmented reality in physical and occupational therapy

Ηand dexterities assessment in stroke patients based on augmented reality and machine learning through a box and block test

Efficacy of a computer vision-based system for exercise management in patients with knee osteoarthritis: a study protocol for a randomised controlled pilot trial

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