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Correction: A Fully Immersive Virtual Reality Method for Upper Limb Rehabilitation in Spinal Cord Injury
Da Young Lim, Dong Min Hwang, Kang Hee Cho, Chang Won Moon, So Young Ahn
Ann Rehabil Med 2025;49(1):60.   Published online January 20, 2025
DOI: https://doi.org/10.5535/arm.19181.e
Corrects: Ann Rehabil Med 2020;44(4):311
  • 663 View
  • 22 Download
Original Articles
A Fully Immersive Virtual Reality Method for Upper Limb Rehabilitation in Spinal Cord Injury
Da Young Lim, Dong Min Hwang, Kang Hee Cho, Chang Won Moon, So Young Ahn
Ann Rehabil Med 2020;44(4):311-319.   Published online July 28, 2020
DOI: https://doi.org/10.5535/arm.19181
Correction in: Ann Rehabil Med 2025;49(1):60
Objective
To determine whether a fully immersive virtual reality (VR) intervention combined with conventional rehabilitation (CR) can improve upper limb function more than CR alone in patients with spinal cord injury (SCI), we conducted a prospective, randomized, controlled clinical trial.
Methods
Participants were randomly assigned to either the control group (CG; n=10) or experimental group (EG; n=10). The participants in the CG received 60 minutes of conventional therapy per day, 4 days per week for 4 weeks, whereas those in the EG received 30 minutes of VR training and 30 minutes of conventional therapy per day, 4 days per week for 4 weeks. The clinical outcome measures included Medical Research Council grade, the American Spinal Injury Association upper extremity motor score (ASIA-UEMS), and scores in the Hand Strength Test, Box and Block Test, Nine-Hole Peg Test, Action Research Arm Test, and Korean version of the Spinal Cord Independence Measure (K-SCIM). The assessments were performed at the beginning (T0) and end of the intervention (T1).
Results
Grip power and K-SCIM score significantly improved in the EG after the intervention. When comparing differences between the groups, elbow extensor, wrist extensor, ASIA-UEMS, grip power, lateral pinch power, and palmar pinch power were all significantly improved.
Conclusion
VR training of upper limb function after SCI can provide an acceptable adjunctive rehabilitation method without significant adverse effects.

Citations

Citations to this article as recorded by  
  • Creating adapted environments: enhancing accessibility in virtual reality for upper limb rehabilitation through automated element adjustment
    V. Herrera, J. Albusac, J. J. Castro-Schez, C. González-Morcillo, D. N. Monekosso, S. Pacheco, R. Perales, A. de los Reyes-Guzmán
    Virtual Reality.2025;[Epub]     CrossRef
  • Immersive Virtual Reality in Stroke Rehabilitation: A Systematic Review and Meta-Analysis of Its Efficacy in Upper Limb Recovery
    Chala Diriba Kenea, Teklu Gemechu Abessa, Dheeraj Lamba, Bruno Bonnechère
    Journal of Clinical Medicine.2025; 14(6): 1783.     CrossRef
  • Virtual Rehabilitation in Spinal Cord Injury Patients: Realities and Future Perspectives. A Systematic Review
    Claudia Vinciguerra, Antonio Federico
    Current Physical Medicine and Rehabilitation Reports.2024; 12(4): 425.     CrossRef
  • Case report: Virtual reality-based arm and leg cycling combined with transcutaneous electrical spinal cord stimulation for early treatment of a cervical spinal cord injured patient
    Xiaolei Chu, Shuaiyi Liu, Xiaoxuan Zhao, Tao Liu, Zheng Xing, Qingwen Li, Qi Li
    Frontiers in Neuroscience.2024;[Epub]     CrossRef
  • Application of immersive virtual reality in the training of wheelchair boxers: evaluation of exercise intensity and users experience additional load– a pilot exploratory study
    Jacek Polechoński, Alan Langer, Anna Akbaş, Anna Zwierzchowska
    BMC Sports Science, Medicine and Rehabilitation.2024;[Epub]     CrossRef
  • Technological Features of Immersive Virtual Reality Systems for Upper Limb Stroke Rehabilitation: A Systematic Review
    Chala Diriba Kenea, Teklu Gemechu Abessa, Dheeraj Lamba, Bruno Bonnechère
    Sensors.2024; 24(11): 3546.     CrossRef
  • Lower Extremity Exoskeleton for Human Spinal Cord Injury: A Comprehensive Review
    Tianci Wang, Zaixin Song, Hao Wen, Chunhua Liu
    IEEE Open Journal of the Industrial Electronics Society.2024; 5: 575.     CrossRef
  • Characterizing the Effects of Adding Virtual and Augmented Reality in Robot-Assisted Training
    Xupeng Ai, Victor Santamaria, Sunil K. Agrawal
    IEEE Transactions on Neural Systems and Rehabilitation Engineering.2024; 32: 2709.     CrossRef
  • Virtual Reality as a Therapeutic Tool in Spinal Cord Injury Rehabilitation: A Comprehensive Evaluation and Systematic Review
    Matteo Scalise, Tevfik Serhan Bora, Chiara Zancanella, Adrian Safa, Roberto Stefini, Delia Cannizzaro
    Journal of Clinical Medicine.2024; 13(18): 5429.     CrossRef
  • Remote Extended Reality With Markerless Motion Tracking for Sitting Posture Training
    Xupeng Ai, Sunil K. Agrawal
    IEEE Robotics and Automation Letters.2024; 9(11): 9860.     CrossRef
  • Effects of virtual reality rehabilitation after spinal cord injury: a systematic review and meta-analysis
    Likun Wang, Hong Zhang, Haibo Ai, Yuxi Liu
    Journal of NeuroEngineering and Rehabilitation.2024;[Epub]     CrossRef
  • Immersive virtual reality for learning exoskeleton-like virtual walking: a feasibility study
    Antonio Rodríguez-Fernández, Alex van den Berg, Salvatore Luca Cucinella, Joan Lobo-Prat, Josep M. Font-Llagunes, Laura Marchal-Crespo
    Journal of NeuroEngineering and Rehabilitation.2024;[Epub]     CrossRef
  • Effects of digital-based interventions on muscular strength in adults: a systematic review, meta-analysis and meta-regression of randomized controlled trials with quality of evidence assessment
    Armin Paravlic, Luka Šlosar, Ensar Abazovic, Uros Marusic
    Annals of Medicine.2023;[Epub]     CrossRef
  • The cognitive basis for virtual reality rehabilitation of upper-extremity motor function after neurotraumas
    Sophie Dewil, Shterna Kuptchik, Mingxiao Liu, Sean Sanford, Troy Bradbury, Elena Davis, Amanda Clemente, Raviraj Nataraj
    Journal on Multimodal User Interfaces.2023; 17(3): 105.     CrossRef
  • A Conceptual Framework for Designing Virtual Environments for Stress Therapy
    Farhah Amaliya Zaharuddin, Nazrita Ibrahim, Azmi Mohd Yusof
    Applied Sciences.2022; 12(19): 9973.     CrossRef
  • Investigating features in augmented visual feedback for virtual reality rehabilitation of upper-extremity function through isometric muscle control
    Sean Sanford, Brian Collins, Mingxiao Liu, Sophie Dewil, Raviraj Nataraj
    Frontiers in Virtual Reality.2022;[Epub]     CrossRef
  • 7,594 View
  • 411 Download
  • 18 Web of Science
  • 16 Crossref
Frequency of and Reasons for Unplanned Transfers From the Inpatient Rehabilitation Facility in a Tertiary Hospital
Soobin Im, Da Young Lim, Min Kyun Sohn, Yeongwook Kim
Ann Rehabil Med 2020;44(2):151-157.   Published online April 29, 2020
DOI: https://doi.org/10.5535/arm.2020.44.2.151
Objective
To characterize the patients in the inpatient rehabilitation facility who were transferred to acute care facilities and identify the frequency of and reasons for the unplanned transfer.
Methods
Medical records of patients admitted to the inpatient rehabilitation facility from October 2017 to December 2018 were reviewed. Patients were categorized according to their diagnoses. The included patients were divided into the unplanned transfer and control groups based on whether they required to transfer to another department for acute care before completing an uninterrupted rehabilitation course. The groups were compared in terms of sex, age, length of stay, admission sources, and disease groups. The reasons for unplanned transfers were classified based on medical or surgical conditions.
Results
Of the 1,378 patients were admitted to the inpatient rehabilitation facility, 1,301 satisfied inclusion criteria. Among them, 121 (9.3%) were unexpectedly transferred to the medical or surgical department. The unplanned transfer group had a higher age (69.54±12.53 vs. 64.39±15.32 years; p=0.001) and longer length of stay (85.69±66.08 vs. 37.81±31.13 days; p<0.001) than the control group. The top 3 reasons for unplanned transfers were infectious disease, cardiopulmonary disease, and orthopedic problem.
Conclusion
The unplanned transfer group had a significantly higher age and longer length of stay. The most common reason for the unplanned transfer was infectious disease. However, the proportions of those with orthopedic and neurological problems were relatively high. Therefore, further studies of these patient populations may help organize systematic strategies that are needed to reduce unplanned transfers to acute facilities for patients in rehabilitation facilities.

Citations

Citations to this article as recorded by  
  • Unplanned transfer to acute care during inpatient geriatric rehabilitation: incidence, risk factors, and associated short-term outcomes
    Sofia Fernandes, Christophe Bula, Hélène Krief, Pierre-Nicolas Carron, Laurence Seematter-Bagnoud
    BMC Geriatrics.2024;[Epub]     CrossRef
  • Factors Associated with Unplanned Transfer of Patients with Brain Tumor from Inpatient Rehabilitation Unit to Primary Acute Care Units
    Gyoung Ho Nam, Won Hyuk Chang
    Journal of Personalized Medicine.2023; 13(1): 131.     CrossRef
  • Cross-cultural adaptation and psychometric validation of the Korean version of rehabilitation complexity scale for the measurement of complex rehabilitation needs
    Hoo Young Lee, Jung Hyun Park, Tae-Woo Kim
    Medicine.2021; 100(24): e26259.     CrossRef
  • 4,853 View
  • 109 Download
  • 4 Web of Science
  • 3 Crossref
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