Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/91142
標題: 神經偏癱者人體運動狀態之即時估測與性能評估
Real-Time Estimation and Performance Evaluation of Human Motion Status for People with Hemiplegia
作者: 趙建智
Chien-Chih Chao
關鍵字: EMG Sensing
foot pressure sensing
posture sensing
bending sensing
Hemiplegia
motion status
motion detection
Powered Exoskeleton.
肌電感測
足底壓力感測
姿態感測
彎曲檢測
偏癱運動狀態
運動檢測
動力外骨骼
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摘要: The purposes of this thesis are to study the action of nerve hemiplegic patients by determining the physiological state of the movement via four designed physiological sensing modules, to propose two real-time estimation and performance evaluation methods of human states in movement by the four integrated sensing systems, and to design and implement the low-cost processing technologies. The measurements of muscle signals were analyzed, and the analytical results were applied to set the parameters, in order to control the drive motors to comply with bending of the knee and hip joints, and thus allow patients to return to normal gait without relying on assistive devices for walking. The main research methods in the thesis are divided into the following four aspects. The first one is to design, integrate and develop a smart sensing system that can detect the states of hemiplegia patient's motion, This smart sensing system includes four subsystems: i). the foot pressure sensing subsystem placed on the bottom of feet; ii). the two-leg EMG sensing subsystem placed in the large muscle groups of thighs; iii). The pose posture and motion sensing subsystem to detect human activities; iv). the bending detection subsystem to detect bending knees. Via the interfacing technologies, these four sensing subsystems are integrated to understand the physiological responses and abnormal gait of nerve paralysis patients. The second one is to propose the real-time estimation and evaluation method to determine the states of hemiplegic patient's motion. The third one is to propose the fuzzy real-time estimation and evaluation method to improve the correct detection rate and wide applicability to many patients. The fourth one is to capture and analyze the measurement signals by the LabVIEW software to verify the results of physiological intelligent sensing system with the two proposed real-time estimation and evaluation methods practically, in order to facilitate further the actual physiological signal intelligent sensing system to appropriately drive foot powered exoskeleton devices for hemiplegic patients. By detecting and analyzing the data of the experiments in real time, we confirm that the four physiological sensing systems together with both integrated real-time estimation and evaluation methods are effective in finding the states of movement of nerve hemiplegic patients.
本文的研究目的是針對神經偏癱患者之動作、運動的生理狀態判定,設計的四種生理感測系統,提出整合四種感測系統之人體運動狀態之兩種即時估測判定與其性能評估策略及設計開發低價的大腿肌肉EMG訊號處理技術,用以了解復健病患的大腿肌肉訊號狀態。將測量的肌肉訊號進行分析,運用分析結果來設定參數,進而藉由數位控制系統驅動馬達控制膝關節與髖關節的彎曲程度,使患者恢復正常步態,不再需要依賴輔助裝置。 主要的研究方法可分成下列四項。第一項是設計整合與開發可探知不同程度神經性偏癱患者運動狀態的智慧型感測系統,此智慧型感測系統包括四部分子系統:1.置放於雙足底的足部壓力感測子系統、2.置放於雙大腿大肌肉群的肌電訊號感測子系統、3.偵測人體活動姿態與運動狀態的姿態感測子系統、4.偵測人體膝蓋彎曲程度的彎曲感測子系統;利用介面設計技術,用以瞭解神經性偏癱病患的生理反應與異常步態。第二項著重提出偏癱患者運動狀態之即時判定方法。第三項致力於模糊即時判定方法,用以提高判斷的準確度以及廣泛的適用性。第四項以電腦LabVIEW軟體平台設計擷取測量訊號並加以分析整合實際驗證此兩種運動狀態之即時判定方法之效用性,以利未來在進一步將智慧型感測系統的實際生理訊號來驅動穿著於偏癱病患癱側腳上的動力外骨骼裝置。藉由偵測數據分析與實驗結果證實本文所提的三種生理感測系統與人體運動狀態的整合式偵測即時判定法之實用價值。
URI: http://hdl.handle.net/11455/91142
其他識別: U0005-2811201416194837
文章公開時間: 2017-08-31
Appears in Collections:電機工程學系所

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