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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 許聿翔 | zh_TW |
| dc.contributor.advisor | Yu-Hsiang Hsu | en |
| dc.contributor.author | 許良育 | zh_TW |
| dc.contributor.author | Liang-Yu Hsu | en |
| dc.date.accessioned | 2024-08-14T17:01:10Z | - |
| dc.date.available | 2024-08-15 | - |
| dc.date.copyright | 2024-08-14 | - |
| dc.date.issued | 2024 | - |
| dc.date.submitted | 2024-08-03 | - |
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LIN, "Biomechanical Characteristics of Side-kicks in Various Heights at Different Strategy from the Perspective of Electronic Body Protectors," Ph.D. dissertation, Graduate Institute of Athletics and Coaching Science, National Taiwan Sport University, Taoyuan, Taiwan, 2022. https://hdl.handle.net/11296/a5sq62 | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/94161 | - |
| dc.description.abstract | 目前應用於步態分析之裝置大多需在實驗室中進行，在應用環境上有許多限制，而若是使用慣性傳感器IMU，則僅能量測加速度及角速度值來間接監測人體步態的生理訊號。因此本研究旨在開發應用於步態分析之新型穿戴式裝置與其分析方法，利用具備高靈敏度、高穩定性、高生物相容性與具穿戴舒適度之肌肉感應貼布，直接量測人體活動過程中之肌肉施力的生理訊號，以進行肌肉活動狀態之監測。本研究透過人體實驗收集步態資訊，藉由跑步機調控不同速度，量測實驗參與者在不同步態模式下之小腿蹠屈肌肉之訊號變化。實驗結果顯示肌肉感應貼布訊號在頻域上之第一頻率與步頻間之相關係數達0.99，具有顯著的高度正相關，且主頻率與步頻間也呈現倍率關係，證明感測器於頻率上之準確性。除此之外，實驗結果亦顯示肌肉感應貼布具有透過量測皮膚表面形變監測肌肉收縮程度之能力，與肌電訊號具有顯著的高度正相關，相關係數r值介於0.76 ~ 0.80之間，發現在跑步模式之速度差異性判別效能高於走路模式，並能由步態訊號之曲線特徵說明此現象。本研究證明了肌肉感應貼布於步態分析上之可行性，其具備高頻率靈敏度，能夠識別走與跑之步態模式，評估肌肉在不同步行和跑步速度下之總能量大小，並進行姿態判斷，可提供新的步態資訊作為步態監測與訓練之參考依據。 | zh_TW |
| dc.description.abstract | Most current gait analysis methods are based on sensors that need to be carried out in laboratories, which can limit their applications. On the other hand, inertia sensors like IMU are common wearable sensors for daily activities. However, these sensors can only measure resultant accelerations and angular velocity. They cannot infer the contributions of muscles to various gait actions. Therefore, this study aims to develop a new wearable device and analysis method for gait analysis, using the muscle patch sensor (MPS) that has high sensitivity, stability, biocompatibility, and wearing comfort. The MPS can directly measure muscle force exertion during various gait activities. To verify and study the performance of the MPS, a series of human studies were conducted to collect the contraction signals of calf plantar flexor muscles during different walking and running speeds using a speed-controllable treadmill. The experimental results show that the primary frequency of the MPS signal has a high correlation with the step frequency, with a correlation coefficient of 0.99. This primary frequency also increases along with the stepping frequency, demonstrating the accuracy of this MPS device. In addition, the experimental results also show that the MPS can monitor muscle contraction has a high positive correlation with the electromyographic signal. The correlation coefficient value is between 0.76 ~ 0.80. In the running experiments, the discriminating capability is higher than that in walking experiments, and this phenomenon can be explained by the characteristic profiles of the gait signal. In summary, this study demonstrates the feasibility of using the MPS for gait analysis. It has high-frequency sensitivity that can be used to identify walking and running gait patterns, evaluate the total energy of muscles, and perform posture analysis. The MPS signals can provide new gait reference signals for gait analysis and training. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-08-14T17:01:10Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2024-08-14T17:01:10Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 誌謝 i
摘要 ii ABSTRACT iii 目次 v 圖次 ix 表次 xix 第1章 緒論 1 1.1 研究背景與動機 1 1.1.1 運動感測器與監測系統之應用 3 1.1.2 步態分析 (Gait analysis) 4 1.1.3 肌肉感應貼布過往研究成果 6 1.2 研究目標 8 1.3 論文架構 8 第2章 文獻探討 9 2.1 肌肉作動原理與收縮機制 9 2.1.1 肌肉收縮原理 10 2.1.2 小腿肌群簡介 12 2.2 步態週期 (Gait cycle) 14 2.2.1 步態週期事件 (Gait cycle phases) 15 2.2.2 步態感測器 (Foot switch) 16 2.2.3 步態訊號分析方法與訊號時間正規化 17 2.3 肌電訊號 (EMG) 18 2.3.1 肌電訊號介紹 18 2.3.2 肌電訊號預處理 20 2.3.3 肌電訊號分析方法 23 2.4 動作捕捉攝影系統 (Motion) 24 2.4.1 動作捕捉系統 24 2.4.2 動作捕捉攝影系統實驗與擷取方式 24 2.4.3 動作捕捉攝影系統數據預處理 25 2.4.4 動作捕捉系統分析方法 26 2.5 肌肉感應貼布之應用與本團隊過去研究 27 2.5.1 MPS與皮膚表面變化之相關性 27 2.5.2 MPS與肌肉直徑變化之相關性 28 2.5.3 MPS與肌肉電刺激訊號之訊號相關性 29 2.5.4 MPS與肌肉施力之相關性 30 2.5.5 肌肉疲勞震顫量測 32 2.6 總結 33 第3章 肌肉感應貼布原理與訊號分析 34 3.1 可撓式物理感測器 34 3.2 壓電效應與壓電材料 36 3.3 高分子聚合物P (VDF-TrFE) 40 3.4 靜電紡絲 42 3.5 肌肉感應貼布訊號擷取 45 3.6 肌肉感應貼布訊號分析 46 3.6.1 肌肉感應貼布訊號預處理 47 3.6.2 肌肉感應貼布訊號分析係數與二次正規化 47 第4章 研究方法與實驗架設 49 4.1 實驗架構 49 4.2 肌肉感應貼布製程 50 4.2.1 高分子P (VDF-TrFE) 溶液配置 50 4.2.2 靜電紡絲 51 4.2.3 絲線剝離與後處理 52 4.2.4 絲線拉伸線性化 52 4.2.5 封裝壓電絲線製成感測器 53 4.2.6 感測器拉伸線性化 56 4.3 肌肉感應貼布性能測試 57 4.3.1 拉伸試驗 58 4.3.2 訊號穩定性測試 59 4.4 跑步機步態實驗 60 4.4.1 實驗流程 61 4.4.2 跑步機實驗架設 63 4.4.3 感測器黏貼與訊號擷取 64 4.4.4 最大肌力測試實驗 71 4.4.5 實驗參與者條件與習慣調查 72 4.4.6 資料收集與處理 72 4.4.7 統計分析 76 第5章 實驗結果與討論 77 5.1 MPS性能測試 77 5.1.1 拉伸測試實驗結果 77 5.1.2 訊號穩定性測試結果 79 5.2 跑步機步態實驗之肌肉感應貼布時域訊號表現 81 5.2.1 實驗參與者資訊 81 5.2.2 肌肉感應貼布時域訊號表現 81 5.2.3 肌肉感應貼布訊號表現與分析方法討論 85 5.3 肌肉感應貼布週期性訊號討論 86 5.3.1 肌肉感應貼布頻域訊號表現 86 5.3.2 步態時空資訊分析 88 5.3.3 MPS頻率訊號與步頻之相關性討論 90 5.4 肌肉感應貼布之步態能量討論 92 5.4.1 MPS與EMG時域訊號表現 92 5.4.2 步態訊號能量強度之相關性 94 5.4.3 分群排除之特例數據討論 105 5.5 肌肉感應貼布之步態訊號特徵意義討論 109 5.5.1 Motion姿態訊號處理 109 5.5.2 不同步態中之MPS訊號 111 5.5.3 肌肉皮膚表面形變與MPS訊號之關聯 113 5.5.4 步態事件分辨 117 5.5.5 不同步態中之EMG訊號 121 5.5.6 不同步態中之Motion姿態訊號 125 5.5.7 步態中之MPS訊號與代表的生理意義 128 5.5.8 MPS訊號意義總結 139 第6章 結論與未來展望 140 6.1 結論 140 6.2 未來展望 141 參考文獻 142 附錄 151 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 動態肌肉活動 | zh_TW |
| dc.subject | 肌肉監測 | zh_TW |
| dc.subject | 蹠屈肌 | zh_TW |
| dc.subject | 穿戴裝置 | zh_TW |
| dc.subject | 可撓式感測器 | zh_TW |
| dc.subject | 步態分析 | zh_TW |
| dc.subject | dynamic muscle contraction | en |
| dc.subject | flexible sensor | en |
| dc.subject | wearable device | en |
| dc.subject | gait analysis | en |
| dc.subject | muscle monitoring | en |
| dc.subject | plantar flexor | en |
| dc.title | 應用肌肉感應貼布於步態分析之實驗與分析方法開發 | zh_TW |
| dc.title | Development of experimental and analyzing methods to apply a muscle patch sensor for gait analysis | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 112-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 湯文慈;林哲宇;黃聰育 | zh_TW |
| dc.contributor.oralexamcommittee | Wen-Tzu Tang;Che-Yu Lin;Tsung-Yu Huang | en |
| dc.subject.keyword | 可撓式感測器,穿戴裝置,步態分析,肌肉監測,蹠屈肌,動態肌肉活動, | zh_TW |
| dc.subject.keyword | flexible sensor,wearable device,gait analysis,muscle monitoring,plantar flexor,dynamic muscle contraction, | en |
| dc.relation.page | 173 | - |
| dc.identifier.doi | 10.6342/NTU202402801 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2024-08-07 | - |
| dc.contributor.author-college | 工學院 | - |
| dc.contributor.author-dept | 應用力學研究所 | - |
| dc.date.embargo-lift | 2029-07-30 | - |
| 顯示於系所單位： | 應用力學研究所 | |
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|---|---|---|---|
| ntu-112-2.pdf 此日期後於網路公開 2029-07-30 | 17.32 MB | Adobe PDF |
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