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研究生: 江其俊
Chiang, Chi-Chun
論文名稱: 中風復健導向之虛擬實境視覺放大運動錯覺系統開發:健康成人腦波與手部功能之概念驗證研究
Development of a Virtual Reality–Based Amplified Motor Illusion System for Stroke Rehabilitation: Proof-of-Concept EEG and Hand Function Validation in Healthy Adults
指導教授: 林哲偉
Lin, Che-Wei
學位類別: 碩士
Master
系所名稱: 工學院 - 生物醫學工程學系
Department of BioMedical Engineering
論文出版年: 2026
畢業學年度: 114
語文別: 英文
論文頁數: 97
中文關鍵詞: 中風復健虛擬實境動作錯覺感覺運動不一致性動作觀察腦電圖
外文關鍵詞: stroke rehabilitation, virtual reality, motor illusion, sensorimotor incongruence, action observation, EEG
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  • 本論文開發虛擬實境視覺放大運動錯覺系統(VR-based Amplified Motor Illusion System, VR-AMIS),探討即時放大自主上肢動作的視覺回饋是否能誘發神經可塑性相關機制。有別於傳統 VR 鏡像治療將健側動作映射至患側,本系統直接放大使用者正在進行的動作,同時建立感覺運動不一致性與第一人稱動作觀察。VR-AMIS 以 Unity 開發並部署於 Meta Quest 3,透過手部追蹤與反向運動學將動作綁定至虛擬角色。概念驗證研究招募 20 位健康受試者(14 位右撇子、6 位左撇子),於手部抬舉任務中比較正常與放大回饋條件下的腦波反應,評估指標包含 Mu/Beta 頻段事件相關去同步化(ERD)、Mu 頻段相干性及相位—振幅耦合(PAC)。結果顯示,放大條件下對側感覺運動區的 Mu-ERD 顯著增強。相干性分析發現,放大回饋在非慣用手情境下可提升對側感覺運動區與額頂區的網絡耦合。PAC 分析顯示枕葉區的跨頻耦合增強,且在非慣用手操作時延伸至感覺運動區。手部功能評估中,普渡釘板組裝測驗在放大回饋下呈現顯著改善。本研究證實 VR-AMIS 技術可行,且神經生理反應呈現手部優勢依賴特性:放大回饋對非慣用手(類比中風患側)的神經調控效果更為顯著。此結果支持 VR-AMIS 作為神經可塑性導向復健平台的潛力,值得進一步於中風復健情境中驗證。

    This thesis developed a VR-based Amplified Motor Illusion System (VR-AMIS) to investigate whether real-time visual amplification of self-generated upper-limb movement can engage neuroplasticity-related mechanisms. Unlike conventional VR mirror therapy that maps non-paretic movements to the paretic side, VR-AMIS directly amplifies the user's ongoing movement, simultaneously creating sensorimotor incongruence and first-person action observation. VR-AMIS was implemented on Meta Quest 3 using Unity, with hand tracking bound to a virtual avatar via inverse kinematics. In this proof-of-concept study, 20 healthy participants (14 right-handed, 6 left-handed) performed a hand-lifting task comparing Normal and Amplified feedback conditions. Outcome measures included Mu/Beta event-related desynchronization (ERD), Mu-band coherence, and phase–amplitude coupling (PAC). Results showed that Amplified feedback enhanced contralateral Mu-ERD at sensorimotor sites. Coherence analysis revealed that amplification increased network coupling between contralateral sensorimotor and fronto-parietal regions specifically during non-dominant hand performance. PAC analysis demonstrated enhanced cross-frequency coupling in occipital regions, extending to sensorimotor areas during non-dominant hand tasks. Among behavioral measures, the Purdue Pegboard Assembly subtest showed significant improvement under Amplified feedback. This study demonstrates that VR-AMIS is technically feasible and produces hand-dominance–dependent neurophysiological modulation: amplification effects are more pronounced for the non-dominant hand, which serves as an analog for the paretic limb in stroke. These findings support VR-AMIS as a promising neuroplasticity-oriented rehabilitation platform warranting further evaluation in stroke populations.

    摘要 I Abstract II ABBREVIATION LIST IV Table of contents V List of Tables VIII List of Figures IX Chapter 1 INTRODUCTION 1 1.1 Background of Stroke and Rehabilitation 1 1.2 Virtual Reality Rehabilitation 2 1.3 Research Objective 4 Chapter 2 LITERATURE SURVEY 7 2.1 CIMT and Neuroplasticity-Focused Intervention 7 2.2 Sensorimotor Incongruence and Action Observation 8 2.3 EEG Indicators 11 Chapter 3 METHODOLOGY AND MATERIAL 13 3.1 Research Design and Objectives 13 3.1.1 Experimental Objective 13 3.1.2 Study Design 14 3.1.3 Participant Criteria 15 3.2 VR-Based Amplified Motor Illusion System 15 3.2.1 Hardware 16 3.2.2 Development Tools 16 3.2.3 Virtual Task Concept 17 3.2.4 System Architecture 19 3.3 System Development 21 3.3.1 Algorithm and Motion Mapping Framework 21 3.3.2 Scene Production 29 3.4 Experimental Procedure 32 3.4.1 Experimental Intervention 32 3.4.2 EEG Indicators and Calculation 35 3.5 Outcome Measures 40 3.5.1 Pinch Holding Up Activity (PHUA) 41 3.5.2 Purdue Pegboard Test (PPT) 42 3.5.3 Minnesota Manual Dexterity Test (MMDT) 43 Chapter 4 RESULT AND DISCUSSION 45 4.1 Result 45 4.1.1 Subjects 45 4.1.2 EEG Brain Activation Result 47 4.1.3 Hand Function Examination 57 4.2 Discussion 63 4.2.1 Overview of Findings 63 4.2.2 ERD/ERS 64 4.2.3 Coherence 65 4.2.4 PAC 67 4.2.5 Integration of EEG Findings 69 4.2.6 Hand Function Assessment 70 Chapter 5 CONCLUSION AND FUTURE WORK 73 5.1 Conclusion 73 5.2 Limitations 76 5.3 Future Work 77 Reference List 81

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