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  1. NTU Theses and Dissertations Repository
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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/52440
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dc.contributor.advisor傅立成(Li-Chen Fu)
dc.contributor.authorWei-Ming Lienen
dc.contributor.author連惟忞zh_TW
dc.date.accessioned2021-06-15T16:14:52Z-
dc.date.available2018-08-25
dc.date.copyright2015-08-25
dc.date.issued2015
dc.date.submitted2015-08-18
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[10] C. Y. Wu, L. L. Chuang, K. C. Lin, H. C. Chen, and P. K. Tsay, 'Randomized Trial of Distributed Constraint-Induced Therapy Versus Bilateral Arm Training for the Rehabilitation of Upper-Limb Motor Control and Function After Stroke,' Neurorehabilitation and Neural Repair, vol. 25, pp. 130-139, February 1, 2011 2011.
[11] C. Y. Wu, C. L. Yang, L. L. Chuang, K. C. Lin, H. C. Chen, M. D. Chen, et al., 'Effect of Therapist-Based Versus Robot-Assisted Bilateral Arm Training on Motor Control, Functional Performance, and Quality of Life After Chronic Stroke: A Clinical Trial,' Physical Therapy, vol. 92, pp. 1006-1016, August 1, 2012 2012.
[12] J. H. Cauraugh and J. J. Summers, 'Neural plasticity and bilateral movements: A rehabilitation approach for chronic stroke,' Progress in Neurobiology, vol. 75, pp. 309-320, 4// 2005.
[13] N. Hogan, H. I. Krebs, J. Charnnarong, P. Srikrishna, and A. Sharon, 'MIT-MANUS: a workstation for manual therapy and training. I,' in Robot and Human Communication, 1992. Proceedings., IEEE International Workshop on, 1992, pp. 161-165.
[14] M. Guidali, P. Schlink, A. Duschau-Wicke, and R. Riener, 'Online learning and adaptation of patient support during ADL training,' in Rehabilitation Robotics (ICORR), 2011 IEEE International Conference on, 2011, pp. 1-6.
[15] M. Guidali, U. Keller, V. Klamroth-Marganska, T. Nef, and R. Riener, 'Estimating the patient's contribution during robot-assisted therapy,' J Rehabil Res Dev, vol. 50, pp. 379-94, 2013.
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[18] P. S. Lum, C. G. Burgar, M. Van der Loos, P. C. Shor, M. Majmundar, and R. Yap, 'MIME robotic device for upper-limb neurorehabilitation in subacute stroke subjects: A follow-up study,' J Rehabil Res Dev, vol. 43, pp. 631-42, Aug-Sep 2006.
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[21] S. Guo and Z. Song, 'Design process of exoskeleton rehabilitation device and implementation of bilateral upper limb motor movement,' Journal of Medical and Biological Engineering, vol. 32, pp. 323-30, 2012.
[22] H. Kim, L. M. Miller, I. Fedulow, M. Simkins, G. M. Abrams, N. Byl, et al., 'Kinematic data analysis for post-stroke patients following bilateral versus unilateral rehabilitation with an upper limb wearable robotic system,' IEEE Trans Neural Syst Rehabil Eng, vol. 21, pp. 153-64, Mar 2013.
[23] J. J. Craig, INTRODUCTION TO ROBOTICS MECHANICS AND CONTROL, 3 ed., 2005.
[24] H. J. Luinge, P. H. Veltink, and C. T. M. Baten, 'Ambulatory measurement of arm orientation,' Journal of Biomechanics, vol. 40, pp. 78-85.
[25] W. W. Wang and L. C. Fu, 'Mirror therapy with an exoskeleton upper-limb robot based on IMU measurement system,' in Medical Measurements and Applications Proceedings (MeMeA), 2011 IEEE International Workshop on, 2011, pp. 370-375.
[26] L. C. Hsu, W. W. Wang, G. D. Lee, Y. W. Liao, L. C. Fu, and J. S. Lai, 'A gravity compensation-based upper limb rehabilitation robot,' in American Control Conference (ACC), 2012, 2012, pp. 4819-4824.
[27] C. H. Lin, W. M. Lien, W. W. Wang, S. H. Chen, C. H. Lo, S. Y. Lin, et al., 'NTUH-II robot arm with dynamic torque gain adjustment method for frozen shoulder rehabilitation,' in Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on, 2014, pp. 3555-3560.
[28] T. Yoshikawa, Foundations of Robotics: Analysis and Control: The MIT Press, 2003.
[29] N. Klopcar and J. Lenarcic, 'Bilateral and unilateral shoulder girdle kinematics during humeral elevation,' Clin Biomech (Bristol, Avon), vol. 21 Suppl 1, pp. S20-6, 2006.
[30] G. Enderlein, 'Fleiss, J. L.: The Design and Analysis of Clinical Experiments. Wiley, New York – Chichester – Brislane – Toronto – Singapore 1986, 432 S., £38.35,' Biometrical Journal, vol. 30, pp. 304-304, 1988.
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[32] J. D. Breckenridge and J. H. McAuley, 'Shoulder Pain and Disability Index (SPADI),' J Physiother, vol. 57, p. 197, 2011.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/52440-
dc.description.abstract因神經或骨骼疾病而導致上肢功能障礙的患者於臨床上相當常見,即時進行復健可有效幫助這些患者恢復原有的機能並防止二次併發症的發生。為了最大化病人及治療師之訓練效益並節省復健治療之成本,啟蒙於物理治療領域近年發展的一套藉由患側及健側進行協同運動來促進受損機能復原之新穎治療手法-雙側上肢訓練,本研究結合了過去同團隊研發之八自由度外骨骼式第二代上肢復健機器人及一輕巧之穿戴式慣性感測系統,發展並實現一套嶄新之機械輔助式雙側上肢復健平台。受惠於第二代上肢復健機器人廣泛之可動範圍特性,本平台可提供病患涵蓋絕大多日常生活所需之單側及雙側上肢功能訓練。
本研究提出一被動及助力之機械輔助式雙側上肢復健,透過穿戴式慣性感測系統量測病患健側肢段自主運動,使位於機器復健手臂上之患側肢段進行對應點對點之運動軌跡追蹤。助力式輔助策略更進一步透過健側之運動資訊產生一虛擬引導力,藉此適時輔助患側與健側同時進行主動運動之協調性。此外,除了透過雙側上肢訓練進行自我復健控制外,本系統架構亦可採用教導式之主從控制,由物理治療師之動作簡潔地引導病患患側正確進行所需之運動訓練,滿足各式機械輔助式復健之需求。相較於傳統必需事前定義特定軌跡之方式,本系統架構能透過不同控制方法快速地創建更為複雜之運動軌跡。
本控制提出之控制方法已經由八位健康受試者之先期研究加以驗證,實驗結果顯示提出之控制方法可有效提升操作者於機械輔助式助力雙側上肢復健式之協調性並減少患側肢段不當之過度出力。
zh_TW
dc.description.abstractPatients with upper limb disabilities caused by neurologic or orthopedic disorder required duly rehabilitation to regain their motor function and prevent complications. To reduce the burdens on both physical therapists and patients, in this research, based on a novel physical therapy called bilateral arm training (BAT), which is one of self-rehabilitation capable of promoting recovery of the impaired side with the help from the intact side, we develop a bilateral control interface for our recently developed 8 degrees-of-freedom (DOFs) exoskeleton type upper extremity rehabilitation robot, named NTUH-II. To extract motion information of the intact arm, we employ our self-developed inertia motion unit (IMU) Measurement System. It turns out that the unique and compact feature of NTUH-II together with IMU, which is its especial large range of motion (ROM) for shoulder, can allow patients to and practice the activities of daily living (ADL) BAT extremely effectively.
More specifically, the control strategies are to enable the patient’s impaired or injured limb to undertake passive or active-assistive rehabilitation therapy through Robot-assisted Bilateral Arm Training (RBAT) while letting IMU measure the voluntary motion of the healthy arm. As for the active-assisting strategy, it is to generate the guidance torque as a sufficient aid to the impaired side if needed with reference to the motion of the healthy side. In addition to the self-motion control, leader-follower control is also available on proposed control scheme, where the therapist is allowed to easily generate the desired motion profile for the motion on patient’s impaired side, and can satisfy various requirement in robot-assisted rehabilitation. Compared to the conventional approaches which are limited to specific types of pre-defined reference profile, the integration of the proposed framework enables us to generate and realize more sophisticated motion trajectories.
Various experiments have been conducted on eight healthy subjects to verify the tracking performance and assisting effect of the proposed bilateral control, and the results show that proposed control scheme can boost the subject physical coordination with less effort. From these results, the utility of the developed bilateral control method has been confirmed.
en
dc.description.provenanceMade available in DSpace on 2021-06-15T16:14:52Z (GMT). No. of bitstreams: 1
ntu-104-R02921010-1.pdf: 7510394 bytes, checksum: ddbc64ef462077ee2bcca18f18ae0692 (MD5)
Previous issue date: 2015
en
dc.description.tableofcontents口試委員會審定書 #
誌謝 i
中文摘要 ii
ABSTRACT iii
CONTENTS v
TABLE OF ACRONYMS ix
LIST OF FIGURES x
LIST OF TABLES xv
LIST OF SYMBOLS xvi
Chapter 1 Introduction 1
1.1 Motivations 1
1.2 Literature Survey 4
1.3 Contribution 7
1.4 Thesis Organization 9
Chapter 2 Preliminary 11
2.1 Jacobians 11
2.2 Manipulator’s Dynamic Equations 13
2.3 Six-axis Force/Torque Sensors 15
2.4 Rotation Kinematics 17
2.5 Motor Brake 19
2.6 Fundamental of IMU Chip 20
2.6.1 Accelerometer – SMB380 20
2.6.2 Magnetometer – HMC5843 21
2.7 Therapeutic Exercises 22
2.7.1 Passive Mode 22
2.7.2 Active Mode 23
2.7.3 Active-Assistive/Resistive Mode 24
Chapter 3 System Configuration 26
3.1 Inertial Measurement Unit (IMU) Measurement System 27
3.1.1 IMU measurement hardware 27
3.1.2 Human arm posture calculation 28
3.2 Upper Extremity Rehabilitation Robot NTUH-II 33
3.2.1 Mechanical structure 33
3.2.2 Hardware configuration 37
3.2.3 Safety issue 39
3.3 Computer System 40
3.3.1 Patient data management system 40
3.3.2 Human-robot interface 41
3.3.3 Virtual reality 45
Chapter 4 Design of Robot-Assisted Bilateral Control 48
4.1 Human Arm Model 48
4.1.1 Kinematic model and human arm dynamics 48
4.1.2 Mapping relationships between human arm and robot arm 50
4.2 Derivation of Human Motion Intension 52
4.2.1 Human Interaction Force 52
4.2.2 Desired velocity rescheduling algorithm 55
4.3 Bilateral Arm Therapy 58
4.4 Safety Criteria for Robot-Assisted Bilateral Arm Training 60
4.5 Passive Robot-Assisted Bilateral Arm Training 63
4.6 Active-Assistive Robot-Assisted Bilateral Arm Training 64
4.6.1 Virtual guidance torque 64
4.6.2 Design based on Lyapunov Stability Analysis 68
Chapter 5 Experimental Results 70
5.1 System Setup and Protocol 70
5.2 Desired Velocity Rescheduling 76
5.3 Signal Smoothing 79
5.4 Tracking Performance of Passive Robot-Assisted Bilateral Arm Training 81
5.4.1 Single joint motions 81
5.4.2 Multi-joint motions 83
5.5 Training Effects of Active-Assistive Robot-Assisted Bilateral Arm Training 86
5.5.1 Analysis of tracking performance 87
5.5.2 Analysis of assistance effect 90
5.5.3 Analysis of training effect during multiple sets 94
5.5.4 Analysis of training effect for asymmetrical bimanual training 95
5.5.5 Discussions 97
5.6 Preliminary Clinical Results on Frozen Shoulder Subjects 100
5.6.1 Protocol for clinical trial 100
5.6.2 Questionnaire of robot-assisted rehabilitation 102
Chapter 6 Conclusions 105
REFERENCE 107
Appendix A 110
Appendix B 112
Appendix C 115
dc.language.isoen
dc.subjectNTUH-IIzh_TW
dc.subject復健機械手臂zh_TW
dc.subject五十肩zh_TW
dc.subject中風zh_TW
dc.subject阻抗控制zh_TW
dc.subject雙側上肢復健zh_TW
dc.subjectNTUH-IIen
dc.subjectbilateral arm trainingen
dc.subjectimpedance controlen
dc.subjectfrozen shoulderen
dc.subjectstrokeen
dc.subjectrehabilitation roboticsen
dc.title結合NTUH-II復健機器手臂及慣性感測系統針對神經與骨骼疾病開發之新穎雙側上肢訓練zh_TW
dc.titleDeveloping a Novel Bilateral Arm Training on Rehabilitation Robot NTUH-II with IMU Measurement System for Neurological and Orthopedic Disordersen
dc.typeThesis
dc.date.schoolyear103-2
dc.description.degree碩士
dc.contributor.oralexamcommittee賴金鑫(Jin-Shin Lai),陸哲駒(Jer-Junn Luh),顏炳郎(Ping-Lang Yen),呂東武(Tung-Wu Lu)
dc.subject.keyword復健機械手臂,雙側上肢復健,阻抗控制,中風,五十肩,NTUH-II,zh_TW
dc.subject.keywordrehabilitation robotics,bilateral arm training,impedance control,frozen shoulder,stroke,NTUH-II,en
dc.relation.page115
dc.rights.note有償授權
dc.date.accepted2015-08-18
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept電機工程學研究所zh_TW
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