虛擬實境手部中風復健系統之成效分析

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：29

、訪客IP：3.133.147.87

姓名

楊君山(Chun-shan Yang) 查詢紙本館藏

畢業系所

資訊工程學系

論文名稱

虛擬實境手部中風復健系統之成效分析
(The Performance Analysis of a VR-based Hand Rehabilitation System)

相關論文

★ 以Q-學習法為基礎之群體智慧演算法及其應用	★ 發展遲緩兒童之復健系統研製
★ 從認知風格角度比較教師評量與同儕互評之差異：從英語寫作到遊戲製作	★ 基於檢驗數值的糖尿病腎病變預測模型
★ 模糊類神經網路為架構之遙測影像分類器設計	★ 複合式群聚演算法
★ 身心障礙者輔具之研製	★ 指紋分類器之研究
★ 背光影像補償及色彩減量之研究	★ 類神經網路於營利事業所得稅選案之應用
★ 一個新的線上學習系統及其於稅務選案上之應用	★ 人眼追蹤系統及其於人機介面之應用
★ 結合群體智慧與自我組織映射圖的資料視覺化研究	★ 追瞳系統之研發於身障者之人機介面應用
★ 以類免疫系統為基礎之線上學習類神經模糊系統及其應用	★ 基因演算法於語音聲紋解攪拌之應用

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)

在電腦科技還沒有發展出如虛擬實境、擴充實境等技術前，中風病人的復健大部分必須依賴治療師陪伴進行物理治療，這種方式雖然有專業人員親自指導復健過程之優點，但諸多因素如交通不便性、傳統復健內容枯燥乏味以及病人配合度都會使復健的成效下降。
近年來，電腦科技及相關硬、軟體之發展快速，使電腦視覺化技術能將大量資料以圖形、表格或影像等不同方式表現出來，讓電腦使用者能更有效及快速地接收這些資訊。若能夠以結合虛擬實境的方式復健，除了能夠囊括上述的優點之外，還能夠改善許多傳統復健方式的缺點。
　本研究將設計三套結合虛擬實境的復健系統，針對中風手部復健，分別對握力、捏力以及手指靈活度進行訓練，透過建立復建遊戲中的各種遊戲指標，並且利用智能運算的方式分類以及分析這些指標與傳統評估量表之間的相關性。研究目的為驗證系統的功能性以及復健系統和臨床復健的相關性，除此之外希望能有別於一般復健的多道程序，可以直接透過遊戲的結果與數據去分析病人的實際病況。

摘要(英)

Before some technologies like Virtual Reality and Augmented Reality have been developed, the rehabilitations of stroke patients must rely on therapists. Although this method has the advantages of professional personal guidance of rehabilitation process, many factors such as traffic inconvenience, boring content of traditional rehabilitation and with the degree of patient will cause decreased effectiveness of rehabilitation.

In recent years, as the rapid development of computer technology and related hardware and software, computer visualization technology can perform deal of information in many ways, like graphics, tables or images. This allows computer users to receive the information more effectively and quickly. If we can combine the Virtual Reality and the traditional rehabilitations, in addition to the above advantages, it also may get rid of the shortcomings of traditional rehabilitation methods.

In this study, we focus on the hand rehabilitation of stroke patients. Training programs are grip, pinch strength and finger flexibility, and we also identify the game index that correspond to the movement of rehabilitation, and analyzed the relationship between index and Traditional Assessment Scale by using smart computing. The objective is to verify the functionality of the system and relevance between this system and clinical rehabilitation. Unlike general rehabilitation of a variety of programs, our goal is analyzing the actual condition of patients through game results.

關鍵字(中)

★ 虛擬實境
★ 傳統評估量表
★ 手部復健

關鍵字(英)

★ Virtual reality
★ traditional assessment scale
★ hand stroke rehabilitation

論文目次

目錄
中文摘要 i
Abstract ii
第一章緒論 1
1.1研究背景 1
1.2研究動機 3
1.3研究目的 6
第二章文獻回顧 7
2.1虛擬實境結合中風復健之相關研究 7
2.2虛擬實境復健與運動指標之相關研究 8
第三章研究方法 10
3.1 系統設計 10
3.1.2手指捏力復健系統 14
3.1.3手部對掌訓練復健系統 18
3.2 實驗設計 21
3.2.1 收案標準 21
3.2.2實驗、研究方法 23
3.3資料量測內容 24
3.3.1 傳統臨床評估量表 24
3.3.2 遊戲指標 25
3.4 分析方法(I)：遊戲指標驗證 28
3.4.1 無母數統計分析 28
3.4.2 相關性分析 28
3.5 分析方法(II)：智能運算為基礎之遊戲指標評估與分級方法 29
3.6 分析工具 31
3.6.1 類神經網路 31
3.6.2 SVM 32
第四章分析結果與討論 33
4.1 無母數統計分析結果 33
4.1.1臨床評估量表之進步成效分析 34
4.1.2手部握力指標之進步成效分析 35
4.1.3手部捏力指標之進步成效分析 36
4.1.4手部對掌指標之進步成效分析 38
4.2 相關性分析 39
4.2.1 手部握力復健指標之相關性分析 40
4.2.2 手部捏力復健指標之相關性分析 43
4.2.3 手部對掌復健指標之相關性分析 48
4.3以類神經網路(MLP,RBFN)和SVM作分類 51
4.3.1 分類結果之討論 54
4.3.2 遊戲指標的選擇 54
第五章結論 57
參考文獻 58

參考文獻

[1] 台灣腦中風學會. [Online]
Available: http://www.stroke.org.tw/newpaper/2014Dec/paper_3.asp
[2] 林新醫院. [Online]
Available: http://www.lshosp.com.tw/wei/Folder/f101-10.htm
[3] Wikipedia . [Online]
Available: https://zh.wikipedia.org/wiki/%E4%B8%AD%E9%A2%A8
[4] D. U. Jette, N. K. Latham, R. J, Smout, J. Gassaway, M. D. Slavin and S. D. Horn, “Physical therapy interventions for patients with stroke in inpatient rehabilitation facilities,” Phys Ther, Vol.85, No. 3, pp.238-48, Mar 2005.
[5] J. Young, A. Forster, “Review of stroke rehabilitation,” BMJ, Vol. 334, No. 7584, pp. 86-90, Jan 13 2007.
[6] G. A. Donnan, M. Fisher, M. Macleod and S. M. Davis. “Stroke,” Lance Vol. 371, pp.1612-1623, 2008.
[7] I. Mosley, M. Nicol, G. Donnan, A. G. Thrift and H. M. Dewey, “What is stroke symptom knowledge?, ” International Journal of Stroke, Vol. 9, pp. 48-52, Jan 2014.
[8] G. Saposnik and M. Levin, “Virtual Reality in Stroke Rehabilitation: A Meta-Analysis and Implications for Clinicians, ” Stroke, Vol. 42, No. 5, pp. 1380-1386.
[9] S. B. O’Sullivan, and T. J. Schmitz, “Physical Rehabilitation: Assessment and Treatment,” 2000.

[10] A. S. Merians, D. Jack, R. Boian, M. Tremaine, G. C. Burdea and S. V. Adamovich, “Virtual reality-augmented rehabilitation for patients following stroke, ” Phys Ther, Vol. 82, pp. 898-915, Sep 2002.
[11] V. G. Popescu, G. C. Burdea, M. Bouzit and V. R. Hentz, IEEE, “A Virtual-Reality-Based Telerehabilitation System with Force Feedback,” Information Technology In Biomedicine, Vol. 4, No. 1, Mar 2000.
[12] S. V. Adamovich, A. S. Merians, R. Boian, M. Tremaine, G. S. Burdea, M. Recce, and H. Poizner, IEEE, “A Virtual Reality Based Exercise System for Hand Rehabilitation Post-Stroke:Transfer to Function,” Annual International Conferenece of the IEEE EMBS, Vol. 2, pp. 4936-4939, Sep 2004.
[13] A. S. Merians, D. Jack, R. Boian, M. Tremaine, G. C. Burdea, S. V. Adamovich, “Virtual reality-augmented rehabilitation for patients following stroke,” Phys Ther, Vol. 82, pp. 898-915, Sep 2002.
[14] 比佛利莊園. [Online]
Available: http://leomaggie.nidbox.com/diary/read/7148050
[15] H. C. Fischer, K. Stubblefield, T. Kline, X. Luo, R. V. Kenyon and D. G. Kamper, “Hand Rehabilitation Following Stroke: A Pilot Study of Assisted Finger Extension Training in a Virtual Environment,” Topics In Stroke Rehabilitation, Jan 2007 .
[16] M. F. Levin, L. A. Knaut, E. C. Magdalon, S. Subramanian, “Virtual reality environments to enhance upper limb functional recovery in patients with hemiparesis,” Stud Health Technol Inform, Vol. 145, pp. 94-108, 2009.

[17] E. A. Keshner, “Virtual reality and physical rehabilitation: a new toy or a new research and rehabilitation tool?, ” J Neuroeng Rehabil, Vol. 3, pp. 8-11.
[18] P. Weiss and D. Rand, “Video capture virtual reality as a flexible and effective rehabilitation tool,” Journal of NeuroEngineering and Rehabilitation, Vol. 1, No. 1, pp12, 2004.
[19] L. A. Boyd and C. J. Winstein, “Explicit Information Interferes with Implicit Motor Learning of Both Continuous and Discrete Movement Tasks After Stroke, ” Journal of Neurologic Physical Therapy, Vol. 30, No. 2, pp. 46-57, 2006
[20] L. A. Boyd and B. M. Quaney, “Learning Implicitly: Effects of Task and Severity After Stroke,” Neurorehabilitation and Neural Repair, Vol. 21, pp. 444-454, 2007
[21] C. W. Yin, N. Y. Sien, L. A. Ying, S. F. Chung and D. T. Leng, “Virtual reality for upper extremity rehabilitation in early stroke: a pilot randomized controlled trial,” Clinical Rehabilitation, Vol. 28, No. 11, pp. 1107-1114, 2014
[22] J. Vince, “Virtual Reality System,” ACM Press/Addison-Wesley Publishing Co., 1995.
[23] A. A. Rizzo, T. Bowerly, J. G. Buckwalter, D. Klimchuk, B. A. R. Mitura, and T. D. Parsons, “A Virtual Reality Scenario for All Seasons: The Virtual Classroom,” Cns Spectrums, Vol. 11, No. 1, pp. 35-44, 2006.
[24] Y. Jung and S. C. Yeh, “Tailoring virtual reality technology for stroke rehabilitation: a human factors design,” CHI ′06 extended abstracts on Human factors in computing systems, ACM, pp. 929-934, 2006.

[25] J. Edmans and J. Gladman, “Clinical evaluation of a non-immersive virtual environment in stroke rehabilitation,” Clinical Rehabilitation, Vol. 23, No. 2, pp. 106-116, 2009.
[26] G. Yavuzer, “Mirror therapy improves hand function in subacute stroke: a randomized controlled trial,” Archives of Physical Medicine and Rehabilitation, Vol. 89, No. 3, pp. 393-398, Mar 2008.

[27] J. A. Stevens and M. E. P. Stoykov, “Using motor imagery in the rehabilitation of hemiparesis,” Arch Phys Med Rehabil, Vol. 84, pp.1090-1092, Jul 2003.
[28] S. Sutbeyaz, G. Yavuzer, N. Sezer and B. F. Koseoglu, “Mirror therapy enhances lower-extremity motor recovery and motor functioning after stroke: a randomized controlled trial,” Arch Phys Med Rehabil, Vol. 88, pp. 555-559, May 2007.
[29] C. Dohle, “Mirror therapy promotes recovery from severe hemiparesis: a randomized controlled trial,” Neurorehabilitation and Neural Repair, Vol. 23 No. 3, pp. 209-217, Mar 2009.
[30] H. Wu, J. Liu, H. Handroos and B. Miraftabi, “ Virtual Reality Based Robotic Therapy for Stroke Rehabilitation: an Initial Study,” Proceedings of the 2011 IEEE International Conference on Mechatronics and Automation, Aug 2011.
[31] C. Y. Shing, C. P. Fung, T. Y. Chuang, I. Penn and J. L. Doong, “The study of auditory and haptic signals in a virtual reality-based hand rehabilitation system,” Robotica, Vol.21, pp 211-218 , 2003

[32] A. Panarese, R. Colombo, I. Sterpi, F. Pisano, and S. Micera, “Tracking Motor Improvement at the Subtask Level During Robot-Aided Neurorehabilitation of Stroke Patients, ” Neurorehabilitation and Neural Repair, Vol. 26, pp. 822-833, Sep 2012.
[33] S. Ueki, H. Kawasaki, S. Ito, Y. Nishimoto, M. Abe, T. Aoki, Y. Ishigure, T. Ojika, and T. Mouri, “Development of a Hand-Assist Robot With Multi-Degrees-of-Freedom for Rehabilitation Therapy,” IEEE/ASME transactions on mechatronics, Vol. 17, No. 1, Feb 2012.
[34] S. Hoermann, L. Hale, S. J. Winser, and H. Regenbrecht, “Augmented reflection technology for stroke rehabilitation–a clinical feasibility study, ” Proceedings of the 9th International Conference on Disability, Virtual Reality and Associated Technologies (ICDVRAT 2012), pp. 10-12, 2012.
[35] I. Pastor, H. A. Hayes, and S. J. Bamberg, “A feasibility study of an upper limb rehabilitation system using Kinect and computer games, ” Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE, pp. 1286-1289, 2012.
[36] J. H. Shin, H. Ryu and S. H. Jang, “ A task-specific interactive game-based virtual reality rehabilitation system for patients with stroke: a usability test and two clinical experiments,” Journal of NeuroEngineering and Rehabilitation , 2014.
[37] A. R. Fugl-Meyer, L. Jaasko, I. Leyman, S. Olsson, and S. Steglind, “The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance, ” Scand J Rehabil Med, Vol. 7, pp. 13-31, 1975.
[38] D. M. Morris, G. Uswatte, J. E. Crago, E. W. Cook, and E. Taub, “The reliability of the wolf motor function test for assessing upper extremity function after stroke,” Arch Phys Med Rehabil, Vol. 82, pp. 750-755, Jun 2001.
[39] J. Desrosiers, R. Hébert, E. Dutil, and G. Bravo, “Development and Reliability of an Upper Extremity Function Test for the Elderly: The TEMPA,” Canadian Journal of Occupational Therapy, Vol. 60, pp. 9-16, Apr 1993
[40] 台灣科技大學資訊工程系.[Online]
Available:http://neuron.csie.ntust.edu.tw/homework/93/NN/homework2/M9304302/welcome.htm
[41] SAS Resource Center. [Online]
Available: http://www.sasresource.com/artical138.html
[42] R. P. Lippmann, “An Introduction to Computing with Neural Nets,” ieee assp magazine, Apr 1987
[43] Libsvm. [Online]
Available: http://ntu.csie.org/~piaip/svm/svm_tutorial.html
[44] Y. Freund , R. E. Schapire, “A Short Introduction to Boosting,” Journal of Japanese Society for Artificial Intelligence, Vol. 14, No. 5, pp. 771-780, Sep 1999.
[45] I. Guyon, A. Elisseeff, “ An Introduction to Variable and Feature Selection,” Journal of Machine Learning Research, Vol. 3, pp.1157-1182, 2003.

指導教授

蘇木春

審核日期

2015-7-29

推文