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博碩士論文 etd-0325118-114618 詳細資訊
Title page for etd-0325118-114618
論文名稱
Title
鏡像治療系統之人機介面發展與延伸應用
Development of human-machine Interface for Further Application of digital mirror therapy system
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
55
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2018-07-04
繳交日期
Date of Submission
2018-08-22
關鍵字
Keywords
動作想像、鏡像治療、腦波驅動視覺回饋、動作觀察、數位鏡像系統
Digital Mirror System, Action Observation, Mirror Therapy, EEG-Triggered Visual Feedback, Motor Imagery
統計
Statistics
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The thesis/dissertation has been browsed 5646 times, has been downloaded 0 times.
中文摘要
本實驗系統是由Labview人機介面撰寫而成,此系統為義守大學「數位鏡像系統」的延伸應用。其應用了原有的鏡像治療(Mirror Therapy, MT)模式與鏡像延遲功能,並增加了三種認知型的治療模式: 1.動作觀察(Action Observation, AO) 模式、2.動作想像(Motor Imagery, MI) 模式、3.動作想像+動作觀察(MI+AO) 模式及一些基本的錄影功能,使系統環境更加完善,希望患者透過多元的治療模式,能得到更有效地治療成效。
為了證實上述三種治療模式的療效以及未來是否能應用在臨床治療上,我們先找中山大學的學生來作為實驗的對象,並模擬癱瘓病患的情境,在實驗時僅能用大腦想像動作及用眼睛觀察,最後再利用事件相關非同步/同步(Event-Related Desynchronization/Synchronization, ERD/ERS)的方法以離線的方式分析腦波訊號,比較不同模式下的腦波訊號的差異。
本實驗室正在開發腦波驅動-視覺回饋(EEG-Triggered Visual Feedback, ETVF)的治療系統,用實驗室開發的演算法將腦波區分為有動作意念及無動作意念,讓系統能在線上即時判斷訊號並播放該動作影片,以達到腦波驅動-視覺回饋雙向交流之目的,將助於提升治療效果。
Abstract
This work develops a Labview based interface to extend the functionality of the digital mirror therapy system developed by I-Sou University. In addition to the original mirror therapy mode and image delaying function, this work adds three operation modes. Namely, action observation (AO) mode, motor imagery (MI) mode as well as motor imagery plus action observation (MI+AO) mode. To make the treatment procedure more diversified and operating environment more complete, image recording function has also been added to the system.
To test the effectiveness of the three operation modes developed by this study, we recruit graduate students as our test subjects to simulate the mirror therapy procedure designed for patients that are partially paralyzed. The test subjects were asked to imagine a specified movement and observe the movement video. The goal is to demonstrate that the resulting electroencephalography (EEG) signal can indeed demonstrate an event-related desynchronization/synchronization response pattern as reported in the literature.
A possible future work in to develop an EEG-trigged visual feedback system so that the pre-recorded videos can be played once our algorithm detect the movement intention of the test subjects. It is hoped that the efficacy of this rehabilitation system can be enhanced by combining motor imagery with this visual feedback function.
目次 Table of Contents
論文審定書 i
誌謝 ii
摘要 iii
Abstract iv
目錄 v
圖次 vii
表次 ix
第一章 緒論 1
1.1 研究背景 1
1.2 研究動機及目的 2
1.3 文獻回顧 3
1.4 論文架構 4
第二章 鏡像系統之發展與延伸 5
2.1 實驗設備 5
2.2 實驗系統介紹 10
2.2.1 系統介面介紹 10
2.2.2 系統功能介紹 12
2.3 實驗模式介紹 16
第三章 實驗流程與分析方法 23
3.1 實驗對象 23
3.2 實驗設備可靠度校驗 23
3.3 實驗步驟 25
3.3.1 實驗前處理 25
3.3.2 實驗流程 27
3.4 訊號分析 29
第四章 結果與討論 32
4.1 系統之完成度 32
4.1.1 腦波即時判斷的問題 32
4.2 ERD分析結果 33
4.2.1設備可靠度校驗結果 33
4.2.2 實驗模式結果比較 33
第五章 結論與未來展望 43
參考文獻 44
參考文獻 References
1. Deconinck, F.J., et al., Reflections on Mirror Therapy: A Systematic Review of the Effect of Mirror Visual Feedback on the Brain. Neurorehabil Neural Repair, 2014.
2. Rizzolatti, G., M. Fabbri-Destro, and L. Cattaneo, Mirror neurons and their clinical relevance. Nat Clin Pract Neurol, 2009. 5(1): p. 24-34.
3. Ertelt, D., et al., Action observation has a positive impact on rehabilitation of motor deficits after stroke. Neuroimage, 2007. 36 Suppl 2: p. T164-73.
4. Dickstein, R. and J.E. Deutsch, Motor imagery in physical therapist practice. Phys Ther, 2007. 87(7): p. 942-53.
5. Sullivan, P.E. and P.D. Markos, Clinical Procedures in Therapeutic Exercise. 2nd ed. ed. 1996, Stamford, Connecticut: Appleton& Lange.
6. Taub, E., Somatosensory deafferentation research with monkeys: implications for rehabilitation medicine, in Behavioural Psychology in Rehabilitation Medicine: Clinical Applications, L. Ince, Editor. 1980, Williams&Wilkins: New York. p. 371-401.
7. Aisen, M.L., et al., The effect of robot-assisted therapy and rehabilitative training on motor recovery following stroke. Arch Neurol, 1997. 54(4): p. 443-6.
8. Norine Foley, R.T., Jeffrey Jutai, Sanjit Bhogal, Elizabeth Kruger 10. Upper Extremity Interventions. EBRSR: Evidence-Based Review of Stroke Rehabilitation, 2012.
9. Dickstein, R. and J.E. Deutsch, Motor imagery in physical therapist practice. Phys Ther, 2007. 87(7): p. 942-53.

10. Schuster, C., et al., Best practice for motor imagery: a systematic literature review on motor imagery training elements in five different disciplines. BMC Med, 2011. 9: p. 75.
11. C. Neuper. , G. Pfurtscheller, Event-related dynamics of cortical rhythms: frequency-specific features and functional correlates. International Journal of Psychophysiology 43, 2001. : p. 41-58.
12. Christa Neuper, Reinhold Scherer., et al., Motor imagery and action observation: Modulation of sensorimotor brain rhythms during mental control of a brain–computer interface. Clinical Neurophysiology 120,2009. : p. 239-247
13. Malouin et al., Kinesthetic and Visual Imagery Questionnaire (KVIQ) Administration procedures. June_ 2007
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