ID | 110731 |
Author |
Kai, Yoshihiro
Department of Mechanical Engineering, Tokai University
Tanioka, Tetsuya
Department of Community & Psychiatric Nursing, School of Medical Sciences, The University of Tokushima
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Inoue, Yoshio
Department of Intelligent Mechanical Systems Engineering, Kochi University of Technology
Matsuda, Takuya
Course of Intelligent Mechanical Systems Engineering, Department of Engineering, Graduate School of Engineering, Kochi University of Technology
Sugawara, Kenichi
School of Rehabilitation, Faculty of Health and Social Work, Kanagawa University of Human Services
Takasaka, Youichiro
Psychiatry and Neurology Hosogi Unity Hospital
Nagamine, Isao
Department of Community & Psychiatric Nursing, School of Medical Sciences, The University of Tokushima
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Keywords | sensor-controlled walker
walking support/evaluation machine
parkinsonism
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Content Type |
Journal Article
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Description | Various walk supporting systems have been devised and developed. However, they have not been designed for supporting or evaluating the gait of parkinsonian patients, and not much consideration has been given to gait disturbances of parkinsonian patients. In this study : (a) We prepared a tentative model of walk supporting and monitoring system in consideration of typical symptoms of parkinsonism. (b) We conducted gait rehabilitation in a parkinsonian patient using the walk supporting and monitoring system and confirmed (i) the occurrence of frozen gait during walking, (ii) brachybasia, (iii) the absence of anterior tilting of the posture, pulsion symptom, and festination, and (iv) occurrence of hesitation to start walking. Therefore, typical symptoms of parkinsonism can be detected by the use of this system. (c) The medical staff can evaluate the state of recovery of patients on the basis of the data obtained from this system and use them for purposes such as guidance of rehabilitation.
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Journal Title |
The journal of medical investigation : JMI
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ISSN | 13431420
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NCID | AA11166929
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Volume | 51
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Issue | 1-2
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Start Page | 117
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End Page | 124
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Sort Key | 117
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Published Date | 2004-02
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EDB ID | |
DOI (Published Version) | |
URL ( Publisher's Version ) | |
FullText File | |
language |
eng
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TextVersion |
Publisher
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departments |
Medical Sciences
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