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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 許聿翔(Yu-Hsiang Hsu) | |
| dc.contributor.author | Ting-Wei Wang | en |
| dc.contributor.author | 王廷瑋 | zh_TW |
| dc.date.accessioned | 2023-03-19T22:39:00Z | - |
| dc.date.copyright | 2022-08-24 | |
| dc.date.issued | 2022 | |
| dc.date.submitted | 2022-08-18 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/85027 | - |
| dc.description.abstract | 本論文旨在驗證壓電肌肉感應貼布之量測機制的可靠度，其量測方式為藉由貼附於人體表面，量測肌肉收縮所引起之皮膚形變，是一種非侵入式的量測方式。為驗證壓電肌肉感應貼布量測到的數據可代表肌肉作動行為，本研究利用超音波影像以及運動追蹤系統設計三種實驗來驗證肌肉感應貼布量測機制的可靠度。第一項實驗進行一種由前臂肌肉-屈指淺肌所主導之握力動作，利用壓電肌肉感應貼布與超音波影像同時量測屈指淺肌的施力收縮情形，比較壓電肌肉感應貼布所量測到人體皮膚表面因肌肉收縮所造成的機械形變與超音波影像所觀測到的肌肉收縮行為，透過本研究所開發之影像分析演算法，探討其間之相關性，實驗結果證明在時域上，其相關係數r於20位受試者上有16位達0.7以上，且頻率域上的兩個峰值相關係數為0.9998及0.9930。另外兩項為觀測肱二頭肌所主導之動作，利用動作捕捉系統與壓電肌肉感應貼布同時量測，以進行比較及驗證。本研究先探討等長收縮之靜態疲勞實驗，驗證壓電肌肉感應貼布具有監測肌肉疲勞時所產生之震顫行為，透過紅外線攝像機以100Hz取樣頻率來捕捉貼附於肱二頭肌之三顆反射標記的三維坐標，計算肌肉收縮的相對位置與時間的關係曲線，與壓電肌肉感應貼布訊號進行分析比較。本研究並探討肱二頭肌動態等張收縮實驗，同樣利用紅外線攝像機動作捕捉技術，驗證皮膚表面受到肌肉收縮所導致之形變與壓電肌肉感應貼布訊號之間的關係曲線。實驗結果顯示兩種量測方式的中位頻率相關係數r為0.7226。第三項實驗結果的相關係數r為1。以上三組實驗結果證明壓電肌肉感應貼布具有極高之監測肌肉作動行為之可靠度，可作為個人體能提升及運動員技巧提升之個人化穿戴裝置。 | zh_TW |
| dc.description.abstract | This paper aims to verify the reliability of using the piezoelectric muscle patch sensor(MPS) to monitor muscle activities. It is a non-invasive sensor that attaches to the skin of a muscle to measure the skin deformation induced by muscle contraction. To verify measuring mechanism of the MPS, ultrasound imaging and motion tracking system are used, and three experiments are conducted. The first experiment compares the grip force of a forearm muscle-flexor superficial muscles (FDS), both MPS and ultrasound imaging are used at the same time. An imaging analysis algorithm is developed to explore the correlation between muscle contraction and MPS signals. Experimental results show that time-domain correlation r is larger than 0.7 for 16 out of 20 subjects, and the two primary peaks in the frequency domain correlation were 0.9996 and 0.9959. The other two experiments use a motion tracker system to verify MPS signals. In the fatigue experiment of the isometric contraction, it was verified that the MPS can monitor the tremor behavior generated by muscle fatigue. Experimental results demonstrate that the median frequency of the two data is correlated in the frequency domain. The correlation coefficient r is 0.7226. For the dynamic isotonic contraction of the biceps, the correlation coefficient r is 1 in the frequency domain. Based on experimental studies, it is verified that the MPS has a high reliability. It can be a reliable personalized wearable device for athlete personalized training. | en |
| dc.description.provenance | Made available in DSpace on 2023-03-19T22:39:00Z (GMT). No. of bitstreams: 1 U0001-1608202218594000.pdf: 15538840 bytes, checksum: 8aa5c4152fd0b3a744cdb6af502b14b9 (MD5) Previous issue date: 2022 | en |
| dc.description.tableofcontents | 口試委員會審定書 i 誌謝 ii 中文摘要 iii ABSTRACT iv 目錄 v 圖目錄 ix 表目錄 xvii Chapter 1 緒論 1 1.1 研究背景 1 1.1.1 物理性感測器介紹與應用 3 1.1.2 運動感測器應用 6 1.2 研究目標 8 1.3 研究方法 9 1.3.1 超音波實驗-動態收縮 9 1.3.2 動作捕捉實驗-靜態疲勞 10 1.3.3 動作捕捉實驗-動態收縮 12 1.4 論文架構 13 Chapter 2 肌肉、超音波與運動追蹤介紹 15 2.1 肌肉作動原理 15 2.1.1 肌肉分類 15 2.1.2 前臂肌肉介紹 16 2.1.3 肌肉疲勞 18 2.2 超音波簡介 20 2.2.1 超音波影像介紹 20 2.2.2 超音波探頭及分類 21 2.2.3 超音波成像模式 22 2.3 運動追蹤 24 2.4 數位影像處理與訊號濾波方式 25 2.4.1 數位影像處理簡介 25 2.4.2 希爾伯特-黃轉換 26 Chapter 3 影像分析算法開發及壓電材料 30 3.1 影像分析算法 30 3.1.1 影像濾波及抓取特徵 30 3.1.2 計算肌肉直徑變化 32 3.2 壓電材料 34 3.2.1 研究背景 34 3.2.2 壓電材料種類 35 3.2.3 壓電、焦電、鐵電效應 37 3.2.4 壓電本構方程式 40 3.3 高分子壓電材料 43 3.3.1 PVDF 43 3.3.2 P(VDF-TrFE) 45 3.4 靜電紡絲 46 3.4.1 研究背景 46 3.4.2 原理與技術 47 3.4.3 靜電紡絲技術 50 3.4.4 靜電紡絲架設與環境參數 53 Chapter 4 研究方法與實驗設計 55 4.1 MPS訊號與超音波訊號驗證架構 55 4.2 超音波實驗訊號量測與架設 55 4.2.1 參與受試者之條件 55 4.2.2 超音波實驗之前置作業 55 4.2.3 超音波實驗之數據收集 56 4.2.4 超音波訊號方法之驗證 58 4.3 動作捕捉實驗量測與架設 58 4.3.1 參與受試者之條件 58 4.3.2 動作捕捉實驗之前置作業 59 4.3.3 動作捕捉實驗之數據收集 62 Chapter 5 靜電紡絲與肌肉感應貼布製程 64 5.1 靜電紡絲製程 64 5.1.1 溶液配置 64 5.1.2 靜電紡絲架設 64 5.1.3 製程操作變數 66 5.1.4 靜電紡絲後處理 67 5.2 肌肉感應貼布製程 67 5.2.1 絲線纖維線性化 67 5.2.2 肌肉感應貼布製程 69 5.2.3 感測器理論推導 71 Chapter 6 實驗結果與討論 75 6.1 動態實驗結果 75 6.1.1 以超音波影像驗證震盪器模擬肌肉收縮實驗結果 75 6.1.1 以超音波影像驗證FDS動態收縮結果 77 6.1.2 以動作捕捉系統驗證二頭肌動態收縮結果 83 6.2 靜態實驗結果 87 6.2.1 以動作捕捉系統驗證二頭肌疲勞顫震結果 87 Chapter 7 結論與未來展望 98 7.1 結論 98 7.2 未來展望 99 REFERENCE 100 附錄 106 | |
| dc.language.iso | zh-TW | |
| dc.title | 以超音波影像及動作捕捉攝影系統驗證壓電肌肉感應貼布之可靠度 | zh_TW |
| dc.title | Study on the reliability of the piezoelectric muscle patch sensor using ultrasound imaging and motion capture system | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 110-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 李世光(Chih-Kung Lee),湯文慈(Wen-Tzu Tang),林哲宇(Che-Yu Lin) | |
| dc.subject.keyword | 壓電感測器,聚(偏氯乙烯-三氟乙烯),靜電紡絲,可撓式感測器,肌肉疲勞,超音波影像,動作捕捉系統,肌肉應變量測, | zh_TW |
| dc.subject.keyword | Piezoelectric materials,poly(vinylidene chloride-trifluoroethylene),electrospinning,flexible sensors,muscle fatigue,ultrasound imaging,motion tracking,muscle strain measurement, | en |
| dc.relation.page | 123 | |
| dc.identifier.doi | 10.6342/NTU202202469 | |
| dc.rights.note | 同意授權(限校園內公開) | |
| dc.date.accepted | 2022-08-18 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 應用力學研究所 | zh_TW |
| dc.date.embargo-lift | 2024-08-23 | - |
| 顯示於系所單位： | 應用力學研究所 | |
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