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A Further Step to Develop Patient-Friendly Implementation Strategies for Virtual Reality–Based Rehabilitation in Patients With Acute Stroke

Minyoung Lee, Sung-Bom Pyun, Jinjoo Chung, Jungjin Kim, Seon-Deok Eun, BumChul Yoon
DOI: 10.2522/ptj.20150271 Published 1 October 2016
Minyoung Lee
M. Lee, PT, BSc, Department of Physical Therapy, College of Health Sciences, Korea University, Seoul, Republic of Korea.
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Sung-Bom Pyun
S-B. Pyun, MD, PhD, Department of Physical Medicine and Rehabilitation, College of Medicine, Korea University.
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Jinjoo Chung
J. Chung, PhD, Institute for Society & Health, Seoul, Republic of Korea.
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Jungjin Kim
J. Kim, PT, MS, Department of Physical Therapy, College of Health Sciences, Korea University.
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Seon-Deok Eun
S-D. Eun, PhD, Korea National Rehabilitation Research Institute, Seoul, Republic of Korea.
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BumChul Yoon
B. Yoon, PT, OT, PhD, Department of Physical Therapy, College of Health Sciences, Korea University 145, Anam-ro, Seongbuk-go, Seoul 136-701, Republic of Korea.
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Figures

Figure 1.
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Figure 1.

Virtual reality (VR)–based rehabilitation software tailored to patients with hemiplegic stroke. (A) and (B) show a participant performing the workout mode of training and the VR content reflected back to the participant. (C) and (D) show a participant performing the game mode of training and the VR content including a hammer (participant's hand movement) and a mole (target). The software was developed based on a proprioceptive neuromuscular facilitation stretching technique.

Figure 2.
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Figure 2.

Patient-perceived levels of difficulty and enjoyment in each mode of training. “u” on the x-axis indicates the unaffected upper extremity was used; “b” indicates bilateral upper extremities were used. Otherwise, the affected upper extremity was used. P=participant.

Tables

Table 3.
Table 3.

Upper Extremity Function and Activities of Daily Living Performance Before and After the Interventiona

  • ↵a All indicators are presented as median (interquartile range). BBT=Box and Block Test, FMA=Fugl-Meyer Assessment, MBI=Modified Barthel Index, MFT=Manual Function Test.

  • b According to the Wilcoxon signed rank test.

  • c Calculated using the Cohen d effect size equation.

  • d P<.05.

Table 2.
Table 2.

Mean Heart Rates Depending on the Mode of Traininga

  • ↵a All indicators are presented as mean±standard deviation (range of values). MHR=median heart rate, RHR=resting heart rate, HRR=heart rate reserve from the resting heart rate.

  • b 10% HRR according to the Karvonen formula.

Table 1.
Table 1.

Participants' Demographic and Clinical Characteristicsa

  • ↵a MCA=middle cerebral artery, MMSE=Mini-Mental State Examination, MMT=manual muscle test, NIHSS=National Institutes of Health Stroke Scale, PCA=posterior cerebral artery, PICA=posterior inferior cerebellar artery.

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Vol 96 Issue 10 Table of Contents
Physical Therapy: 96 (10)

Issue highlights

  • Our Future Selves: Unprecedented Opportunities
  • Toward a Transformed Understanding: From Pain and Movement to Pain With Movement
  • Virtual Reality for Stroke Rehabilitation
  • Consensus on Exercise Reporting Template (CERT): Modified Delphi Study
  • Agreement of Mechanical Diagnosis and Therapy Classification in People With Extremity Conditions
  • High-Intensity Interval Training and Moderate-Intensity Continuous Training in Ambulatory Chronic Stroke: Feasibility Study
  • Therapeutic Ultrasound and Treadmill Training Suppress Peripheral Nerve Injury–Induced Pain in Rats
  • A Further Step to Develop Patient-Friendly Implementation Strategies for Virtual Reality–Based Rehabilitation in Patients With Acute Stroke
  • Transitions in the Embodied Experience After Stroke: Grounded Theory Study
  • Neck Posture Clusters and Their Association With Biopsychosocial Factors and Neck Pain in Australian Adolescents
  • Physical Therapists' Role in Health Promotion as Perceived by the Patient: Descriptive Survey
  • Finding the “Right-Size” Physical Therapy Workforce: International Perspective Across 4 Countries
  • Does the Brief-BESTest Meet Classical Test Theory and Rasch Analysis Requirements for Balance Assessment in People With Neurological Disorders?
  • Roland-Morris Disability Questionnaire and Oswestry Disability Index: Which Has Better Measurement Properties for Measuring Physical Functioning in Nonspecific Low Back Pain? Systematic Review and Meta-Analysis
  • Responsiveness of the Balance Evaluation Systems Test (BESTest) in People With Subacute Stroke
  • Use of Rasch Analysis to Evaluate and Refine the Community Balance and Mobility Scale for Use in Ambulatory Community-Dwelling Adults Following Stroke
  • de Morton Mobility Index Is Feasible, Reliable, and Valid in Patients With Critical Illness
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A Further Step to Develop Patient-Friendly Implementation Strategies for Virtual Reality–Based Rehabilitation in Patients With Acute Stroke
Minyoung Lee, Sung-Bom Pyun, Jinjoo Chung, Jungjin Kim, Seon-Deok Eun, BumChul Yoon
Physical Therapy Oct 2016, 96 (10) 1554-1564; DOI: 10.2522/ptj.20150271

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A Further Step to Develop Patient-Friendly Implementation Strategies for Virtual Reality–Based Rehabilitation in Patients With Acute Stroke
Minyoung Lee, Sung-Bom Pyun, Jinjoo Chung, Jungjin Kim, Seon-Deok Eun, BumChul Yoon
Physical Therapy Oct 2016, 96 (10) 1554-1564; DOI: 10.2522/ptj.20150271
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Subjects

  • Intervention
    • Therapeutic Exercise
  • Geriatrics
    • Stroke (Geriatrics)
  • Neurology/Neuromuscular System
    • Stroke (Neurology)
    • Motor Control and Motor Learning

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