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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 趙福杉 | zh_TW |
| dc.contributor.advisor | Fu-Shan Jaw | en |
| dc.contributor.author | 應宇若 | zh_TW |
| dc.contributor.author | Yu-Ruo Ying | en |
| dc.date.accessioned | 2024-01-26T16:34:45Z | - |
| dc.date.available | 2024-01-27 | - |
| dc.date.copyright | 2024-01-26 | - |
| dc.date.issued | 2024 | - |
| dc.date.submitted | 2024-01-22 | - |
| dc.identifier.citation | [1] 國家發展委員會-5.高齡化時程. https://www.ndc.gov.tw/Content_List.aspx?n=695E69E28C6AC7F3.
[2] Ministry of Health and Welfare of Taiwan, “White Paper for Ageing Society [Translation] 高齡社會白皮書,” 2015. [3] R.Aissaoui and J.Dansereau, “Biomechanical analysis and modelling of sit to stand task: a literature review,” Proc. IEEE Int. Conf. Syst. Man Cybern., vol. 1, pp. 141–146, 1999, doi: 10.1109/icsmc.1999.814072. [4] K.Yoshida, Q.An, A.Yozu, R.Chiba, K.Takakusaki, H.Yamakawa, Y.Tamura, A.Yamashita, H.Asama, “Visual and vestibular inputs affect muscle synergies responsible for body extension and stabilization in sit-to-stand motion,” Front. Neurosci., vol. 13, no. JAN, pp. 1–12, 2019, doi: 10.3389/fnins.2018.01042. [5] K. E.Wagner, L. A. Nolasco, D. C.Morgenroth, D. H. Gates, andA. K.Silverman, “The effect of lower-limb prosthetic alignment on muscle activity during sit-to-stand,” J. Electromyogr. Kinesiol., vol. 51, no. January, p. 102398, 2020, doi: 10.1016/j.jelekin.2020.102398. [6] K.Kim, C. H.Yu, G. Y.Jeong, M.Heo, and T. K.Kwon, “Analysis of the assistance characteristics for the knee extension motion of knee orthosis using muscular stiffness force feedback,” J. Mech. Sci. Technol., vol. 27, no. 10, pp. 3161–3169, 2013, doi: 10.1007/s12206-013-0837-9. [7] W. Janssen, J. Bussmann, R. Selles, P. Koudstaal, G. Ribbers, and H. Stam, “Recovery of the sit-to-stand movement after stroke: A longitudinal cohort study,” Neurorehabil. Neural Repair, vol. 24, no. 8, pp. 763–769, 2010, doi: 10.1177/1545968310363584. [8] S. J. Hyun, J. Lee, and B. H. Lee, “The effects of sit-to-stand training combined with real-time visual feedback on strength, balance, gait ability, and quality of life in patients with stroke: A randomized controlled trial,” Int. J. Environ. Res. Public Health, vol. 18, no. 22, 2021, doi: 10.3390/ijerph182212229. [9] S. J. M.van Cappellen-van Maldegem, M.Hoedjes, J.C.Seidell, L.V van de Poll-Franse, L.M Buffart, F.Mols, S.Beijer, “Self-performed Five Times Sit-To-Stand test at home as (pre-)screening tool for frailty in cancer survivors: Reliability and agreement assessment,” J. Clin. Nurs., vol. 32, no. 7–8, pp. 1370–1380, 2023, doi: 10.1111/jocn.16299. [10] A. I.Cuesta-Vargas and M.González-Sánchez, “Differences in muscle activation patterns during sit to stand task among subjects with and without intellectual disability,” BioMed Research International, vol. 2013. 2013, doi: 10.1155/2013/173148. [11] Borui Li, Qiong Gui, H. B. Ali, Huiyang Li and Zhanpeng Jin, “A wearable sit-to-stand detection system based on angle tracking and lower limb EMG, ” 2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), Philadelphia, PA, 2016, pp. 1-6, doi: 10.1109/SPMB.2016.7846876. [12] S.Seneviratne, Y. Hu, T.Nguyen, G.Lan, S.Khalifa, K.Thilakarathna, “A Survey of Wearable Devices and Challenges,” IEEE Commun. Surv. Tutorials, vol. 19, no. 4, pp. 2573–2620, 2017, doi: 10.1109/COMST.2017.2731979. [13] 蕭季威。「符合人體工學之「坐到站」及「站至走」之年長者輔助系統」。碩士論文，國立臺灣大學生醫電子與資訊學研究所，2017。https://hdl.handle.net/11296/bpk8v5。. [14] 洪薇甯。「坐到站時多通道表面肌電圖之即時巨幅資料縮減」。碩士論文，國立臺灣大學醫學工程學研究所，2021。https://hdl.handle.net/11296/94ry55。. [15] 成佩珊。「步行及跑步的下肢肌電訊號之穿戴式無線記錄系統」。碩士論文，國立臺灣大學醫學工程學系，2023。https://hdl.handle.net/11296/swg26z。. [16] C. J.DeLuca, “SURFACE ELECTROMYOGRAPHY: DETECTION AND RECORDING,” pp. 1–10, 2002. [17] G.Hajian, A.Etemad, and E.Morin, “Generalized EMG-based isometric contact force estimation using a deep learning approach,” Biomed. Signal Process. Control, vol. 70, no. July, 2021, doi: 10.1016/j.bspc.2021.103012. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/91454 | - |
| dc.description.abstract | 隨著臺灣將邁入超高齡社會，年長者能維持自主獨立生活的能力是很重要的議題，而日常生活中最基本且重要的動作為坐到站（Sit-to-Stand, STS），並可將其視為判斷自主活動能力獨立性之重要指標，現今已知STS透過訓練能提升其能力，且於居家進行自我檢測具有臨床意義。本實驗室為了提升年長者起身活動的能力，長期致力於開發坐到站起身輔助裝置，本研究承接過往實驗室之研究基礎，所開發之系統以體積小 (16 cm×13 cm×1.5 cm)、重量輕 (313 g)與低功耗 (靜態電流為2.74 mA)作為設計考量，完成一套穿戴式多通道肌電訊號量測裝置，同時量測並量化STS主要所使用肌肉（脛前肌、內側股四頭肌、豎脊肌）之肌力，用於評估主要肌群發力是否適當，可透過日常監測方式長期進行肌力追蹤，亦可評估左右腳肌力是否不對稱，藉此制定個人化訓練或是合適的復健療程，以降低肌肉老化速度。本研究之系統設計可分為硬體電路與軟硬體整合之使用者介面兩部分，前者包括多工器與解多工器的使用、放大器與高低通濾波器的放大倍率及頻帶設計、類比開關與積分器的控制與設置，以及各類元件之選擇考量於本文皆有詳細闡述；而後者包含系統控制以及利用MATLAB設計一簡單好上手之使用者介面，為了能更降低使用的學習難度，亦可透過文字、圖像與聲音等方式做動作指令之提醒，藉此提供使用者完善、便利且視覺化的使用體驗，期望未來能與物聯網與手機端連動，同步搭配其他生理訊息，令使用者能更深入了解身體健康資訊。 | zh_TW |
| dc.description.abstract | As Taiwan transitions into a super aged society, maintaining the ability of the elderly to lead independent lives is an important issue. One of the most fundamental and essential movements is the Sit-to-Stand (STS) action, which can be considered a crucial indicator for assessing independence in daily life. Currently, it is known that STS training can enhance one’s STS capability, and self-testing of STS performance at home has clinical significance. Our laboratory has long been dedicated to enhancing the mobility of the elderly by developing a STS assistance device for a long time. Building upon previous researches, this study introduces a wearable multi-channel electromyography (EMG) measurement device, designed with compact size (16 cm×13 cm×1.5 cm), lightweight (313 g), and low power consumption (quiescent current is 2.74 mA). It measures quantitatively the strength of the key muscles (tibialis anterior, quadriceps vastus medialis, erector spinae) primarily used in the STS task, aiming to assess the appropriateness of force exerted by the major muscle groups. This information aids in formulating personalized training or suitable rehabilitation programs, reducing the pace of muscle atrophy for elderly.
In this study, the system design includes hardware circuits and a user interface for its operation. The former involves the use of multiplexers and demultiplexers, amplifiers, high and low-pass filters, analog switches, and integrators, with detailed design considerations. The user interface includes system control and a user-friendly interface designed with the MATLAB environment. To enhance user accessibility, action prompts are provided through text, images, and sound, offering a comprehensive, convenient, and visual user experience. In the future, we plan to connect the system with the Internet of Things (IoT) and mobile applications, synchronizing with other physiological signals to provide users with a deeper understanding of their health condition. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-01-26T16:34:45Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2024-01-26T16:34:45Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 口試委員會審定書...... i
誌謝.................. ii 中文摘要.............. iii Abstract...............iv 目次.................. vi 圖次.................. ix 表次.................. xi 第一章、緒論.......................................... 1 1.1 研究背景.......................................... 1 1.2 研究動機及目的.................................... 4 第二章、研究方法與系統設計............................ 5 2.1 系統架構.......................................... 5 2.2 設計考量.......................................... 6 2.2.1 量測肌肉之選擇.................................. 7 2.2.2 多通道設置之考量................................ 7 2.2.3 放大器設計之考量................................ 8 2.2.4 濾波器設計之考量................................ 8 2.2.5 使用者介面設計之考量............................ 8 2.3 元件及儀器之選擇考量.............................. 9 2.3.1 多工器(Multiplexer)與解多工器(Demultiplexer).... 9 2.3.2 儀表放大器(Instrumentation Amplifier)........... 9 2.3.3 運算放大器(Operational Amplifier)............... 10 2.3.4 類比開關(Analog Switch)......................... 10 2.3.5 開發板.......................................... 10 2.3.6 充電電池.........................................11 第三章、實驗結果...................................... 13 3.1 系統之電路設計.................................... 13 3.1.1 多工器電路...................................... 14 3.1.2 第一級放大器.................................... 15 3.1.3 第二級放大器.................................... 16 3.1.4 濾波器.......................................... 17 3.1.5 全波整流電路.................................... 18 3.1.6 積分器.......................................... 18 3.1.7 開發板.......................................... 20 3.2 使用者介面設計.................................... 21 3.3 系統外觀.......................................... 25 3.4 實際量測結果...................................... 26 3.4.1 三通道肌電訊號量測結果.......................... 26 3.4.2 多通道肌電訊號量測結果.......................... 27 第四章、討論.......................................... 28 4.1 多通道肌電訊號量測裝置之結果意義與其應用.......... 28 4.2 選擇適當的元件.................................... 29 4.2.1 主動元件之選擇.................................. 29 4.2.2 類比開關之選擇.................................. 31 4.3 多次積分的影響.................................... 32 4.4 多工器切換之雜訊排除.............................. 34 4.6 屏蔽環境雜訊...................................... 39 第五章、結論.......................................... 40 參考文獻.............................................. 41 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 多通道 | zh_TW |
| dc.subject | 無線傳輸 | zh_TW |
| dc.subject | 穿戴式裝置 | zh_TW |
| dc.subject | 肌電圖 | zh_TW |
| dc.subject | 坐到站 | zh_TW |
| dc.subject | Wearable device | en |
| dc.subject | Sit-to-Stand | en |
| dc.subject | EMG | en |
| dc.subject | Multi-channel | en |
| dc.subject | Wireless transmission | en |
| dc.title | 坐到站時多通道肌電訊號之穿戴式無線裝置 | zh_TW |
| dc.title | Wearable Wireless Device for Multi-channel EMG Measurement during Sit-to-Stand | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 112-1 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 高瑀絜;陳芝萍;陳光萱;曾乙立 | zh_TW |
| dc.contributor.oralexamcommittee | Yu-Chieh Kao;Chih-Ping Chen;Kuang-Hsuan Chen;Yi-Li Tseng | en |
| dc.subject.keyword | 坐到站,肌電圖,多通道,無線傳輸,穿戴式裝置, | zh_TW |
| dc.subject.keyword | Sit-to-Stand,EMG,Multi-channel,Wireless transmission,Wearable device, | en |
| dc.relation.page | 43 | - |
| dc.identifier.doi | 10.6342/NTU202400101 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2024-01-23 | - |
| dc.contributor.author-college | 工學院 | - |
| dc.contributor.author-dept | 醫學工程學系 | - |
| dc.date.embargo-lift | 2029-01-15 | - |
| 顯示於系所單位： | 醫學工程學研究所 | |
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