The Japanese Journal of Rehabilitation Medicine
Online ISSN : 1881-8560
Print ISSN : 1881-3526
ISSN-L : 1881-3526
Volume 52, Issue 6
Displaying 1-8 of 8 articles from this issue
Reports
51st Annual Meeting of the Japanese Association of Rehabilitation Medicine Special Lecture
51st Annual Meeting of the Japanese Association of Rehabilitation Medicine Satellite Symposium
  • 2015 Volume 52 Issue 6 Pages 320-330
    Published: 2015
    Released on J-STAGE: July 04, 2015
    JOURNAL FREE ACCESS


    Rehabilitation using Functional Electrical Stimulation in Stroke Patients with Hemiplegia…Mitsuhiro OCHI, Noriaki KATO, Futoshi WADA, Kenji HACHISUKA 320

    Facilitation of Integrated Volitional Control Electrical Stimulator (IVES) for brain Functional Plasticity…Yukihiro HARA 323

    Repetitive Facilitative Exercise in the Treatment of Hemiparesis after Stroke : Recent Development for Combination Therapy Using Vibration or Electrical Stimulation…Megumi SHIMODOZONO 327
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51st Annual Meeting of the Japanese Association of Rehabilitation Medicine Panel Discussion
  • 2015 Volume 52 Issue 6 Pages 331-347
    Published: 2015
    Released on J-STAGE: July 04, 2015
    JOURNAL FREE ACCESS


    Neurophysiological Evaluation in Rehabilitation Medicine – Nerve Conduction study and Needle EMG –…Yoshihisa MASAKADO 331

    Application of F-wave and H-reflex in Rehabilitation Evaluation for Spasticity in PAtients with Cerebrovascular Diseases…Toshiaki SUZUKI 335

    Evaluation of Neural Plasticity in Motor Stroke Using Transcranial Magnetic Stimulation…Naoyuki TAKEUCHI 340

    Application of Elecrophysiological Technique for Swallowing Evaluation…Yoichiro AOYAGI 344
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Educational Lecture
Short Note
  • Koshiro HARUYAMA, Michiyuki KAWAKAMI
    2015 Volume 52 Issue 6 Pages 352-357
    Published: 2015
    Released on J-STAGE: July 04, 2015
    JOURNAL FREE ACCESS
    Objective : To determine whether or not the time difference index of the Timed Up and Go test (TUG) and the imagined TUG (iTUG), which reflects motor imagery capacity, has utility in predicting falls in patients with stroke. Method : A follow-up study of falls occurring over the 6-month period after discharge was performed in 47 patients with stroke. Baseline values were evaluated at discharge for subject age, sex, disease name, paralysis side, disease duration, fall history, whether a gait assistive device was used, mini-mental state examination (MMSE), TUG, and the time difference (delta time) between TUG and iTUG. A logistic regression analysis was performed using the number of falls and evaluation results, and the predictive factors for falls were extracted. Results : Thirty-three patients were followed for the entire 6-month period, and the fall rate was 48.5%. According to the results of the analysis, only delta time was a significant fall factor (p<0.01), and the cutoff value for fall prediction was 0.88%. Conclusion : Our results show that delta time could be used to identify the likelihood of a fall occurrence over the 6-month period after discharge in patients with stroke.
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Letter to the Editor
Regional Meetings
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