The design of virtual lower limb rehabilitation for post-stroke patients

Jian, Lee Wei; Shamsuddin, Syadiah Nor Wan

doi:10.11591/ijeecs.v16.i1.pp544-552

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…This study is an experimental research to determine whether the conceptual framework designed can increase the motivation and engagement of post stroke patients in lower limb rehabilitation. Kinematic data such as sitting knee extension angle are measured manually using knee goniometer by the physiotherapists before using the Virtual Reality Lower Limb Stroke Rehabilitation (VRLite) application [13]. While participants perform rehabilitation using VRLite, Microsoft® Kinect™ automatically captured the relevant information such as kinematic data.…”

Section: Methodsmentioning

confidence: 99%

“…This study focuses on the VRLite, a virtual lower limb rehabilitation program designed based on theories of motivation and gamification approach to increase the engagement of patients [13]. VRLite is consists of three different modules with its own function: Lift Your Leg -tutorial, Collect The Coinssitting knee extension exercise, Grow The Plantssit to stand.…”

Section: Virtual Rehabilitationmentioning

confidence: 99%

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Virtual Lower Limb Stroke Rehabilitation to Assess Post Stroke Patients

Jian

Shamsuddin

2019

Advances in Visual Informatics

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Stroke is a disease that causes disability in adults due to the abrupt interruption of constant blood flow to the brain. Most people encounter difficulties with movement after a stroke, which prevents them from moving around. However, patients often show a lessened endurance and motivation in participating in these boring exercises. This may lead to an early termination of stroke rehabilitation, which can cause permanent disability in life. The application of virtual reality in stroke rehabilitation provides an immersive environment to increase the engagement of patients in rehabilitation exercises. In this study, a prototype named virtual lower limb stroke rehabilitation (VRLite) was developed and tested with post stroke patients on the accuracy of measurements and its usability and acceptance. The measurements of knee angles using Kinect and goniometer were compared using Bland-Altman plot to assess the system validity. The upper and lower LoA were 7.2°and −7.5°respectively. The result shows that 95% of LoA were within the upper and lower limit. The result shows that there is no significant difference between the measurements of knee angles using Kinect and goniometer. Hence, the developed program can be used interchangeably with the conventional rehabilitation.

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Section: Methodsmentioning

confidence: 99%

Section: Virtual Rehabilitationmentioning

confidence: 99%

Virtual Lower Limb Stroke Rehabilitation to Assess Post Stroke Patients

Jian

Shamsuddin

2019

Advances in Visual Informatics

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Technical aspects of virtual augmented reality-based rehabilitation systems for musculoskeletal disorders of the lower limbs: a systematic review

Kiani

Rezaei

Abasi

et al. 2023

BMC Musculoskelet Disord

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Introduction Musculoskeletal disorders are one of the most common causes of physical disability. The rehabilitation process after musculoskeletal disorders is long and tedious, and patients are not motivated to follow rehabilitation protocols. Therefore, new systems must be used to increase patient motivation. Virtual reality (VR) and augmented reality (AR) technologies can be used in this regard. In developing such systems, various technologies and methods of movement recognition are used; therefore, this study aims to summarize the technical aspects of using VR/AR in rehabilitation and evaluate and discuss efficient methods of investigating studies using the Statement of Standards for Reporting Implementation Studies (StaRI). Methods Search in four scientific databases was done systematically based on PRISMA through online search engines from inception to June 2021. These databases include Medline (PubMed), Scopus, IEEE, and Web of Science. An updated search was also conducted on 17 December 2021. The research used keywords and MeSH terms associated with VR/AR, musculoskeletal disorder, and rehabilitation. Selected articles were evaluated qualitatively using the Standards for Reporting Implementation Studies (StaRI) statement. Results A total of 2343 articles were found, and 20 studies were included. We found that 11 (55%) studies used Kinect technology as input tools, and 15 (75%) studies have described the techniques used to analyze human movements, such as dynamic time warping (DTW) and support vector machines (SVM). In 10 (50%) studies, the Unity game engine was used for visualization. In 8 studies (40%), usability was assessed, and high usability was reported. Similarly, the results of the review of studies according to the StaRI checklist showed poor reporting in the title and discussion of the studies. Conclusions We found that academic studies did not describe the technical aspects of rehabilitation systems. Therefore, a good description of the technical aspects of the system in such studies should be considered to provide repeatability and generalizability of these systems for investigations by other researchers.

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The design of virtual lower limb rehabilitation for post-stroke patients

Cited by 2 publications

References 17 publications

Virtual Lower Limb Stroke Rehabilitation to Assess Post Stroke Patients

Virtual Lower Limb Stroke Rehabilitation to Assess Post Stroke Patients

Technical aspects of virtual augmented reality-based rehabilitation systems for musculoskeletal disorders of the lower limbs: a systematic review

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