虛擬實境之肩關節活動度與肌力訓練及自我檢測系統的成效分析與研究

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：20

、訪客IP：18.227.52.248

姓名

貢以航(YI-HANG GONG) 查詢紙本館藏

畢業系所

資訊工程學系

論文名稱

虛擬實境之肩關節活動度與肌力訓練及自我檢測系統的成效分析與研究
(The Research and Performance Analysis of a VR-based Mobility of Shoulder Joint and Muscle Strength Rehabilitation System and Assessment Instrument for Self-Measurement)

相關論文

★ 虛擬實境搭配腦電、心電以及呼吸器設備在心肺同步呼吸訓練對心跳變異與腦波之訓練應用系統與資料分析	★ 利用分層共現網絡評估發展遲緩兒童的精細運動
★ 太極大師：基於太極拳的注意力訓練遊戲，使用動作辨識及平衡分析進行表現評估	★ 比較XRSPACE MANOVA中手勢和控制器互動模式的用戶體驗
★ 基於舌頭力量和表面肌電圖的吞嚥智能評估系統	★ 基於數據融合模型的機器學習對甲基苯丙胺使用障礙的多生理訊號號分析
★ 在有干擾的虛擬教室環境下大人小孩的行為表現與腦神經反應的異同	★ 使用映射模型和跨資料集遷移式學習的輕量化居家衰弱症訓練系統
★ 心率生理回饋放鬆訓練對於海洛因使用疾患(HUD)生理資訊之影響分析	★ 基於深度學習模型的3D心理旋轉對認知障礙的診斷與評估
★ 評估注意力偵測之穿戴式腦電電極放置有效性	★ 基於骨架步態藉由機器學習進行臨床老化衰落分類
★ 用於注意力不足過動症診斷的可解釋多模態融合模型	★ 基於VR的自閉症兒童多模態訓練系統的改進
★ 基於深度學習的虛擬現實腦震盪檢測與融合方法	★ 建立數位地球：基於Omniverse平台的東南亞衛星雲圖與雷達圖可視化

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

冰凍肩是臨床上十分常見的一種肩部疾病，其症狀主要是病患的肩關節活動度受限與肩部疼痛。其復健的療程為時甚久，由於病患缺乏動機或是物理治療師人力不足等問題，患者經常無法持續完成整個療程，而對於復健的成效而言，除了病患主觀上疼痛的減少、功能的進步外，客觀上則需仰賴治療師的主動及被動關節活動度的施測，然而，治療師的施測是相當耗時的，且需有適當的空間才可進行施測。受惠於科技的進步，眾多新興科技讓許多已存在的問題延伸出新的解決方法，例如：虛擬實境技術、互動技術、遊戲引擎、無線感測器..等，現今已有許多研究將這些興新科技應用於醫療復健領域，進行新型復健系統的開發。
故本研究的目的為結合虛擬實境和無線感測器IMU等技術來研發“自我測量肩關節活動度評估儀”及“目標引導式冰凍肩復健系統”，“自我測量肩關節活動度評估儀”主要用來幫助病患測量肩關節活動度，患者按照螢幕上的指示和教學完成各種標準的肩關節動作，即可隨時評估肩關節的進步情況，以達到即時且自我評估復健成效之目的。“目標引導式冰凍肩復健系統” 主要用來訓練病患的肩關節活動度及肩膀肌力，並且透過設定目標的方式來維持病患持續復建的動機，也藉此激勵病患超越物理治療師所設定的目標，增加復健的效率。
實驗結果顯示，本系統可以有效且可靠的量測出病患的肩關節活動度及有效的提升冰凍肩的復健成效，同時也成功地開發了具有評估功能之新型運動指標，使用者對於本系統也有很高的科技接受度，願意持續使用本系統來進行復健。

摘要(英)

Frozen shoulder is one type of shoulder disease that is commonly seen clinically, and its main symptom is the limit in the mobility of the shoulder joint of the patient and the shoulder pain. Since its therapeutic process of rehabilitation takes a long period of time, and due to some problem like patients lacked for motivation or don’t have enough physiotherapists, patients are often unable to continue to complete the entire course of treatment, For the rehabilitation effectiveness of frozen shoulder, in addition to patient’s subjective reduction in pain and progress in function, objectively, it has to rely on the test on active and passive mobility of joint implemented by the therapist, however, the implementation from the therapist is very time-consuming, and it takes an appropriate space too. Due to the progress in technology, many emerging technology have extend new solutions to solve many existing problems, like virtual reality technology、interactive technology、game engine、wireless sensor technology and so on. Today, there are lots of researches using these emerging technologies in association with medical rehabilitation and to develop new rehabilitation system.
Therefore, the objective of this research is to combine virtual reality technology and wireless sensor technology to develop “Assessment instrument for self-measurement of the mobility of shoulder joint” and “Target-lead frozen shoulder rehabilitation system”. “Assessment instrument for self-measurement of the mobility of shoulder joint” is mainly used to help patient to measure the mobility of the shoulder joint. Patient only has to follow the instruction and teaching on the screen to finish all kinds of standard shoulder joint actions, the progress in shoulder joint can then be evaluated at any time, eventually, the goal of real-time and self-assessment of the effectiveness of rehabilitation can be achieved. “Target-lead frozen shoulder rehabilitation system” is mainly used to train patient’s mobility of the shoulder joint and muscle strength of the shoulder, and maintaining the patient’s motivation for continuing rehabilitation by setting the targets. Also to motivate patients to beyond the target set by physical therapists and increase the efficiency of rehabilitation.
The final experiment result shows that this system can effectively and reliably measure the mobility of the shoulder joint and effectively enhance the effectiveness of the rehabilitation of frozen shoulder, and also successfully developed a new type of campaign indicators with evaluation capability. For this system, the users also have a high degree of technology acceptance and willing to continue to use the system for rehabilitation.

關鍵字(中)

★ 無線感測器IMU
★ 虛擬實境
★ 冰凍肩

關鍵字(英)

★ Wireless sensor IMU
★ Virtual reality
★ Frozen shoulder

論文目次

目錄 i
圖目錄 iii
表目錄 v
第一章緒論 1
1-1 背景介紹 1
1-2 冰凍肩的治療 3
1-3 數位科技的進步 4
1-4 研究目標 5
1-5 研究大綱 6
1-6 論文架構 8
第二章文獻探討 9
2-1 IMU感測器於醫療復健之應用 9
2-2 虛擬實境於醫療復健之應用 11
第三章研究方法：系統設計 13
3-1 系統架構 13
3-2 無線感測器IMU 15
3-2-1 Xbee無線傳輸模組 16
3-2-2 9 Degrees of Freedom - Razor IMU 18
3-3 自我測量肩關節活動度評估儀 21
3-4 目標引導式冰凍肩復健系統 27
3-4-1 肩部運動 30
3-4-2 核心肌群 34
第四章研究方法：實驗設計 38
4-1 收案對象及收案標準 38
4-2 實驗流程及方法 39
4-3 評估及分析方法 45
4-3-1 肩關節活動度評估儀之準確度分析 45
4-3-2目標引導式冰凍肩復健系統之復健成效分析 45
4-4 科技接受度問卷 52
第五章結果與討論 53
5-1 肩關節活動度測量結果之準確度分析 53
5-2 肩關節活動度及肩膀肌力復健成效分析 55
5-2-1 復健表現 56
5-2-2 運動分析 60
5-2-3 臨床評估分析 68
5-3 關聯度分析 74
5-4 復健表現對臨床評估結果之預測分析 79
5-5 問卷分析 80
第六章結論 82
第七章參考文獻 84
第八章附錄 87
附錄一 Constant-Murley score(CMS)量表 87
附錄二科技感受度問卷 88
附錄三目標引導式冰凍肩復健系統的實驗組回條 90
附錄四目標引導式冰凍肩復健系統的居家組回條 91

參考文獻

〔1〕 Sattar, M. A., Luqman, W. A., “Periarthritis: another duration-related complication of diabetes mellitus”, Diabetes Care, Vol 8, no.5 507-510, October 1985.
〔2〕 Clarke, G. R., Willis, L. A., Fish, W. W., Nichols, P. J., “Preliminary studies in measuring range of motion in normal and painful stiff shoulders”, Rheumatol Rehabil, Vol 14, no.1 39-46, February 1975.
〔3〕 Reeves, B., “The natural history of the frozen shoulder syndrome”, Scand J Rheumatol, Vol 4, no.4 193-196, 1975.
〔4〕 Binder, A. I., Bulgen, D. Y., Hazleman, B. L., Roberts, S., “Frozen shoulder: a long-term prospective study”, Ann Rheum Dis, Vol 43, no.3 361-4, June 1984.
〔5〕 Shaffer, B., Tibone, J. E., Kerlan, R. K., “Frozen shoulder. A long-term follow-up”, J Bone Joint Surg Am, Vol 74, no.5 738-46, June 1992.
〔6〕 Codman, E. A., The Shoulder: Rupture of the Supraspinatus Tendon and Other Lesions in or About the Subacromial Bursa, MA: T. Todd Co, Boston, 1934.
〔7〕 Neviaser, J. S., “Adhesive capsulitis of the shoulder, a study of the pathological findings in periarthritis of the shoulder”, J Bone Joint Surg Am, Vol 27, no.2 211-222, April 1945.
〔8〕 Thierry, D., “Adhesive capsulitis”, Emedicine, Vol 11, 7, 2005.
〔9〕 Lundberg, B. J., “The frozen shoulder. Clinical and radiographical observations. The effect of manipulation under general anesthesia. Structure and glycosaminoglycan content of the joint capsule. Local bone metabolism”, Acta Orthop Scand Suppl, Vol 119, 1-59, 1969.
〔10〕 Neviaser, R. J., Neviaser, T. J., “The frozen shoulder. Diagnosis and management”, Clin Orthop Relat Res, Vol 223, 59-64, October 1987.
〔11〕 Bland, J. H., Merrit, J. A., Boushey, D. R., “The painful shoulder”, Semin Arthritis Rheum, Vol 7, no.1 21-47, August 1977.
〔12〕 Bateman, J. E., 2nd ed, The Shoulder and Neck, Saunders, 1978.
〔13〕 Moseley, H. F., “Disorders of the shoulder”, Clin Symp, Vol 11, no.3 75-102, May 1959.
〔14〕 Jampol, H., “Exercise Treatment for the Frozen Shoulder”, Phys Ther, no.30 221-229, 1950.
〔15〕 Mc Millan, “Therapeutic Exercise for Shoulder Disability”, Phys Ther, no.46 1052-1060, 1966.
〔16〕 Rocks, J. A., “Intrinsic shoulder pain syndrome: rationale for heating and cooling in treatment”, Phys Ther, Vol 59, no.2 153-159, February 1979.
〔17〕 Myron K. Krueger, Artificial Reality, New York, Addison-Wesley Publishing Company, 1991.
〔18〕 Howard Rheingold , Virtual Reality, New York, Simon and Schuster, July 1991.
〔19〕 Shapiro, M. A, & McDonald, D. “I’m Not a Real Doctor, But I Play One in Virtual Reality: Implications of Virtual Reality for Judgments about Reality”, Journal of Communication, Vol 42, no.4 94-114, December 1995.
〔20〕 Hazel M. Clarkson, Joint Range of Moton and Manual Muscle Strength, Lippincott Williams&Wilkins, Baltimore, 2000.
〔21〕 Cifuentes, C., et al. “Development of a wearable ZigBee sensor system for upper limb rehabilitation robotics”, Biomedical Robotics and Biomechatronics, 1989-1994, Rome, 24-27 June 2012.
〔22〕 Zhiqiang Luo, et al. “An interactive therapy system for arm and hand rehabilitation”, Robotics Automation and Mechatronics, 9-14, Singapore, 28-30 June 2010.
〔23〕 Lupinski, J., et al. “Measuring knee compliance to facilitate post-op ligament rehabilitation”, Bioengineering Conference, 1-2, Troy, NY, 1-3 April 2011.
〔24〕 Joonbum Bae, et al. “A network-based monitoring system for rehabilitation”, Advanced Intelligent Mechatronics, 232-237, Kachsiung, 11-14 July 2012.
〔25〕 Fischer, H. C., et al. “Hand rehabilitation following stroke: a pilot study of assisted finger extension training in a virtual environment”, Top Stroke Rehabil, Vol 14, no.1 1-12, February 2007.
〔26〕 Kuttuva, M., et al. “The Rutgers Arm, a rehabilitation system in virtual reality: a pilot study”, Cyberpsychol Behav, Vol 9, no.2 148-151, April 2006.
〔27〕 Hauschild, M., Davoodi, R., Loeb, G. E., “A virtual reality environment for designing and fitting neural prosthetic limbs”, IEEE Trans Neural Syst Rehabil Eng, Vol 15, no.1 9-15, March 2007.
〔28〕 Fung, J., Richards, C. L., Malouin, F., McFadyen, B. J., Lamontagne, A., “A treadmill and motion coupled virtual reality system for gait training post-stroke”, Cyberpsychol Behav, Vol 9, no.2 157-62, April 2006.
〔29〕 Broeren, J., Rydmark, M., Sunnerhagen, K. S., “Virtual reality and haptics as a training device for movement rehabilitation after stroke: a single-case study”, Arch Phys Med Rehabil, Vol 85, no.8 1247-50, August 2004.
〔30〕 Bryanton, C., et al. “Feasibility, motivation, and selective motor control: virtual reality compared to conventional home exercise in children with cerebral palsy”, Cyberpsychol Behav, Vol 9, no.2 123-8, April 2006.
〔31〕 Bergmark, A., “Stability of the lumbar spine. A study in mechanical engineering”, Acta Orthop Scand Suppl, Vol 230, 1-54, 1989.
〔32〕 Hodges, P. W., Richard C. A., “Contraction of the abdominal associated with movement of the lower limb”, Phys Thera, Vol 77, no.2 132-142, February 1997.
〔33〕 Hodges, P. W., Richard C. A., “Feedforward contraction of transversus abdominis is not influenced by the direction of arm movement”, Experimental Brain Research, Vol 114, no.2 362-370, April 1997.
〔34〕邱俊傑, 皮拉提斯與核心復健運動, 原水文化, 台北市, 2004.
〔35〕 Constant, C. R., Murley, A. H., “A clinical method of functional assessment of the shoulder”, Clin Orthop Relat Res, no.214 160-164, January 1987.
〔36〕 Davis, F. D., Bagozzi, R. P., Warshaw, P. R., “User acceptance of computer technology: a comparison of two theoretical models”, Management Science, Vol 35, no.8 982-1003, August 1989.
〔37〕 Csikszentmihalyi, M., Beyond boredom and anxiety, San Francisco : Jossey-Bass Publishers, 1975.

指導教授

葉士青(Shih-Ching Yeh)

審核日期

2013-8-27

推文