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研究生:曾柏元
研究生(外文):Po-Yuan Tseng
論文名稱:以肌電訊號複合演算機制評估髕骨外翻之復健動作
論文名稱(外文):Evaluating Rehabilitation of Patellar Subluxation based on Complex EMG Algorithm
指導教授:段裘慶段裘慶引用關係
指導教授(外文):Chiu-Ching Tuan
口試委員:許見章辛華昀陳彥文
口試日期:2016-07-26
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:電子工程系研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
畢業學年度:104
語文別:中文
中文關鍵詞:髕骨外翻、肌電訊號、複合演算機制、抬腿踢
外文關鍵詞:Patellar subluxationComplex EMG algorithmElectromyographyKick by raising leg
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造成髕骨外翻症狀會因膝關節軟組織失衡所致,主要為股內側肌(VMO)和股外側肌(VL)施力不平衡影響,在運動、日常活動、上下樓梯、長時間久坐或蹲時造成疼痛加劇,如無妥善治療約90%病患會復發或變成慢性疼痛,常見治療方式以加強股內側肌來訓練下肢肌力。本研究目的為針對髕骨外翻之復健動作進行評估,人體下肢在活動時會藉由股四頭肌帶動骨骼進行動作,在不同動作下肌肉之施力狀況亦有所不同,為了解股內外側肌施力比值,製作一套輔具來偵測受測者於復健動作下肌肉的施力大小、股骨加速度及角度變化等,輔助醫護人員了解復健動作之狀態,提升整體復健效率。
利用受測者動作時肌肉收縮所產生的肌電訊號,將其VMO與VL做複合演算機制,擷取特徵值做分析與計算出比值(VVR),由此方式來分析股內外側肌活動狀況,經實驗設計不同動作之類型,以尋找最大比值(VVR)之動作為目的,因較高VMO有助於髕骨外翻之復健。
依不同角度之抬腿踢實驗,平均VVR遞減排列,依序為 50°> 60°> 20°> 70°> 40°> 30°> 80°> 90°,約在50°~60°之差異程度最高,接著進行ANOVA分析顯著性,結果顯示各角度間無顯著性差異,但與正常步態卻存有顯著性差異,所用20°~90°皆可表現差異(VVR>1),本研究各角度之抬腿踢皆能達到訓練股內側肌之目的。
Patellar subluxation is usually caused by soft tissue imbalance around the patella. The most common factor is the strength imbalance between vastus medialis obliquus (VMO) and vastus lateralis (VL) muscles. This symptom is often aggravated by climbing stairs, squatting or sitting in exercise or daily routine. Ninety percent of patients will become relapse or chronic pain. Treatment of patellar subluxation often focuses on enforcing muscle VMO strength of the lower limb. This study is to assess the patellar subluxation of rehabilitation. When the lower limb exercises, quadriceps femoris muscle supplies the patella movement. It is different muscle forces from different actions. In order to investigate the ratio of VMO to VL muscle, we made a assistive device to measure user’s muscle forces, femur angle and acceleration under rehabilitations. The device could assist medical personnel to see the condition of rehabilitation and rise the effectiveness of rehabilitation.
The complex EMG algorithm assesses the subject’s activity of muscle during contraction. Analyze the extraction of Electromyography singles and calculate the ratio of VMO to VL (VVR) could explain VMO and VL active situations. Searching the larger VVR on different rehabilitations is good for rehabilitation of patellar subluxation.
According to the kick by raising leg in different angle, the VVR are sorted by descending, 50°> 60°> 20°> 70°> 40°> 30°> 80°> 90°. The better differences are in 50°~60°. Statistical analysis was performed by ANOVA. The different angles did not exist statistically different, but the normal gait versus angles existed statistically different. The kick by raising leg could achieve the higher VMO in 20°~90°(VVR>1).
中文摘要 i
英文摘要 iii
誌謝 v
目錄 vi
圖目錄 ix
表目錄 xi
第一章 緒論 1
1.1 研究動機 2
1.2 研究目的 3
1.3 論文架構 4
第二章 文獻探討 5
2.1 髕骨股骨關節結構 5
2.1.1 膝關節相關病理探討 6
2.1.2 膝關節症狀之治療方法 9
2.2 肌電訊號 10
2.2.1 肌電訊號原理 10
2.2.2 肌電訊號分析與評估 12
2.2.3 肌電訊號之相關應用 14
2.3 髕骨外翻於醫學上探討 16
2.3.1 踢正步動作對治療有效性 17
2.3.2 擾動影響肌電觸發時間差 18
2.3.3 角速度變化之效果 20
2.3.4 行走與跑步之膝關節肌肉力量 21
第三章 材料與方法 23
3.1 訊號感測模組 24
3.1.1 微控制器 24
3.1.2 肌電訊號感測模組 25
3.1.3 角度感測模組 27
3.1.4 訊號模組傳輸設計 28
3.1.5 感測模組固定方式 29
3.2 肌電訊號感測模組處理與分析 30
3.2.1 肌電訊號之濾波器處理 31
3.2.2 肌電訊號複合演算 33
3.3 量測動作設計 36
第四章 實驗與討論 39
4.1系統準確性實驗設計 39
4.1.1 肌電訊號感測模組效能評估 39
4.1.2 VVR之準確性評估 43
4.2 量測實驗設計 44
4.2.1 實驗量測限制與對象 44
4.2.2 訊號量測方法架設 46
4.2.3 實驗量測參數表 47
4.3 實驗結果與討論 48
4.3.1 復健動作之分析 48
4.3.2 不同模式之抬腿踢分析 50
4.3.3 抬腿踢角度之分析 53
4.3.4 角度影響之肌電訊號差異 58
4.3.5 結果統計分析 60
第五章 結論與未來研究方向 64
5.1 結論 64
5.2 未來研究方向 65
參考文獻 66
附錄 72
A 參數對照表 72
B 中英文專有名詞對照表 74
C 肌電訊號分析操作介面 78
D 作者簡歷 80
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