An Assistive System for Patients with Parkinson''s Disease

碩士 === 國立中央大學 === 資訊工程研究所 === 100 === This thesis presents two rehabilitation systems to assist Parkinson’s patients: a gait rehabilitation system and a rehabilitation movement analysis system. The deterioration rate of Parkinson’s disease can be slowed down by regular rehabilitation. The objective...

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Main Authors: Jhih-jie Jhang, 張智傑
Other Authors: Mu-chun Su
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/60408556976197397999
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spelling ndltd-TW-100NCU053920662015-10-13T21:22:38Z http://ndltd.ncl.edu.tw/handle/60408556976197397999 An Assistive System for Patients with Parkinson''s Disease 帕金森氏症病人復健輔助系統 Jhih-jie Jhang 張智傑 碩士 國立中央大學 資訊工程研究所 100 This thesis presents two rehabilitation systems to assist Parkinson’s patients: a gait rehabilitation system and a rehabilitation movement analysis system. The deterioration rate of Parkinson’s disease can be slowed down by regular rehabilitation. The objective of this thesis is to assist patients for rehabilitation at home, and to avoid the disease getting worse. Parkinson''s patients may develop ''Parkinsonian gait'', which is characterized by small shuffling steps, crossing gaits, freezing of gait, and so on. These symptoms seriously affect patient''s walking ability to get close with people and nature outside, and that would endanger the physical and mental health. Therefore, we hope to provide patients with visual and auditory aid by combining augmented reality and distance sensor system. Expect patients to gain willingness and convenience for rehabilitation, and recover their normal gait in the past. The proposed gait rehabilitation system uses the concept of augmented reality by projecting virtual visual cues on the ground, which can assist patients with these cues in ambulation. Besides, this system detects whether the height of steps are not high enough and the gait is cross or not. Once the violation is happened, this system will give the alarm to notice patients. As time goes on, the motor symptoms of Parkinson’s disease would worsen gradually. The implementation of various rehabilitation movements can effectively relieve these symptoms. The proposed rehabilitation movement analysis system uses Kinect to capture human skeleton from the rehabilitation movement, and finds out a representative trajectory of each type of movement. When the movement is detected, this system will analyze it through the proposed SOMMTS system. The accuracy and some reference charts will be given to encourage patients to do rehabilitation more actually. Mu-chun Su 蘇木春 2012 學位論文 ; thesis 104 zh-TW
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language zh-TW
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description 碩士 === 國立中央大學 === 資訊工程研究所 === 100 === This thesis presents two rehabilitation systems to assist Parkinson’s patients: a gait rehabilitation system and a rehabilitation movement analysis system. The deterioration rate of Parkinson’s disease can be slowed down by regular rehabilitation. The objective of this thesis is to assist patients for rehabilitation at home, and to avoid the disease getting worse. Parkinson''s patients may develop ''Parkinsonian gait'', which is characterized by small shuffling steps, crossing gaits, freezing of gait, and so on. These symptoms seriously affect patient''s walking ability to get close with people and nature outside, and that would endanger the physical and mental health. Therefore, we hope to provide patients with visual and auditory aid by combining augmented reality and distance sensor system. Expect patients to gain willingness and convenience for rehabilitation, and recover their normal gait in the past. The proposed gait rehabilitation system uses the concept of augmented reality by projecting virtual visual cues on the ground, which can assist patients with these cues in ambulation. Besides, this system detects whether the height of steps are not high enough and the gait is cross or not. Once the violation is happened, this system will give the alarm to notice patients. As time goes on, the motor symptoms of Parkinson’s disease would worsen gradually. The implementation of various rehabilitation movements can effectively relieve these symptoms. The proposed rehabilitation movement analysis system uses Kinect to capture human skeleton from the rehabilitation movement, and finds out a representative trajectory of each type of movement. When the movement is detected, this system will analyze it through the proposed SOMMTS system. The accuracy and some reference charts will be given to encourage patients to do rehabilitation more actually.
author2 Mu-chun Su
author_facet Mu-chun Su
Jhih-jie Jhang
張智傑
author Jhih-jie Jhang
張智傑
spellingShingle Jhih-jie Jhang
張智傑
An Assistive System for Patients with Parkinson''s Disease
author_sort Jhih-jie Jhang
title An Assistive System for Patients with Parkinson''s Disease
title_short An Assistive System for Patients with Parkinson''s Disease
title_full An Assistive System for Patients with Parkinson''s Disease
title_fullStr An Assistive System for Patients with Parkinson''s Disease
title_full_unstemmed An Assistive System for Patients with Parkinson''s Disease
title_sort assistive system for patients with parkinson''s disease
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/60408556976197397999
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