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研究生: 高元亞
Yuan-ya Kao
論文名稱: 基於智慧型手機之復健動作監控系統設計
A Smartphone-Based Rehabilitative Movement Monitoring System
指導教授: 林淵翔
Yuan-hsiang Lin
口試委員: 許孟超
Mon-chau Shie
郭重顯
Chung-hsien Kuo
許維君
Wei-chun Hsu
學位類別: 碩士
Master
系所名稱: 電資學院 - 電子工程系
Department of Electronic and Computer Engineering
論文出版年: 2013
畢業學年度: 101
語文別: 中文
論文頁數: 108
中文關鍵詞: 智慧型手機陀螺儀人體關節活動範圍量測遠距復健與監控
外文關鍵詞: Smartphone, gyroscope, range of motion (ROM), tele-rehabilitation and monitoring
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  • 本論文使用智慧型手機和其內建的陀螺儀開發一套復健動作監控系統。主要功能如下:(1)判斷病患復健動作狀況(如正確與錯誤動作、動作次數);(2)語音提示及螢幕顯示相關資訊達到即時回饋;(3)隨時隨地能透過網路連線上傳復健資訊置資料庫,或更新處方箋;(4)治療師使用資料庫監控病患狀況並設定參數達到遠端更新處方功能。
    關於手機陀螺儀在量測動作角度之準確度方面,馬達驗證部分在三種轉速下(20.8°/s、60.9°/s與112.1°/s),三個軸向的平均誤差分別為0.1°±0.2°、0.4°±0.1°與0.3°±0.1°,皆在1°以內;人體動作驗證與光學立體攝影系統作比較,髖關節屈曲、膝關節伸直及走路主要平面誤差在6°以內。另外,本系統能夠即時判斷復健動作正確與否,可協助病患確保動作正確性,避免錯誤動作造成二次傷害。


    In this thesis, we developed a remote rehabilitation movement monitoring system based on the smartphone and its built-in gyroscope. The main functions of this system are as follows, (1) to assess patient’s movement status (such as correct or wrong movement and number of movements). (2) Voice guidance and information display on the screen for real-time feedback. (3) To upload and download data from database via wireless network. (4) The therapist can assess the status of patient via database and update the parameter of prescription.
    The accuracy of the angle measurement of smartphone and the built-in gyroscope was verified in the experiments of motor movement. The mean error were 0.1°±0.2°, 0.4°±0.1° and 0.3°±0.1° at the angular velocity 20.8°/s, 60.9°/s and 112.1°/s separately. In human motion experiment, the mean errors are less than 6° at hip flexion, knee extension and walking by comparing with a 3D stereophotographic system. In addition, this system can assess rehabilitation movement in real time to help patients to ensure correct movement and avoid damage again.

    中文摘要 I Abstract II 致謝 III 目錄 IV 圖目錄 VI 表目錄 IX 第一章 緒論 1 1.1 動機與目的 1 1.2 文獻探討 3 1.3 相關論文比較 5 1.4 論文架構 8 第二章 研究背景 9 2.1 人體關節活動範圍(Range of motion,ROM) 9 2.1.1 人體解剖平面 9 2.2 陀螺儀原理 11 2.2.1 手機內建陀螺儀 11 2.3 Android作業系統 12 2.3.1 架構 12 2.3.2 應用程式 14 2.4 智慧型手機與開發軟體 15 2.5 醫院端介面開發軟體與資料庫 18 第三章 研究方法 21 3.1 系統架構 21 3.2 智慧型手機三軸定義 22 3.3 角度積分計算 23 3.3.1 陀螺儀數據讀取 23 3.3.2 矩形積分 25 3.3.3 動作序列 28 3.4 復健參數 32 3.5 動作結果判斷 34 3.6 智慧型手機軟體開發 37 3.6.1 開始復健 38 3.6.2 上傳復健檔 42 3.6.3 更新(下載)標準檔 45 3.6.4 回診日期查詢 47 3.6.5 錄製標準檔 48 3.6.6 設定 52 3.7 醫院端介面 54 3.8 實驗設計 63 3.8.1 陀螺儀角度驗證 63 3.8.2 動作判斷實驗 64 第四章 實驗結果 66 4.1 馬達角度驗證 66 4.1.1 低速(20.8°/s) 66 4.1.2 中速(60.9°/s) 68 4.1.3 高速(112.1°/s) 69 4.2 光學立體攝影系統比較 71 4.2.1 髖關節屈曲 71 4.2.2 髖關節外展 74 4.2.3 髖關節伸直 77 4.2.4 膝關節伸直 80 4.2.5 走路 82 4.3 動作判斷實驗 84 4.3.1 馬達驗證部分 84 4.3.2 人體驗證部分 85 第五章 討論、結論與未來展望 94 5.1 討論 94 5.1.1 馬達角度驗證 94 5.1.2 光學立體攝影系統比較 97 5.1.3 動作判斷實驗 100 5.2 結論與未來展望 101 參考文獻 103

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