帕金森氏症病人復健輔助系統

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：35

、訪客IP：18.217.220.114

姓名

張智傑(Jhih-jie Jhang) 查詢紙本館藏

畢業系所

資訊工程學系

論文名稱

帕金森氏症病人復健輔助系統
(An Assistive System for Patients with Parkinson's Disease)

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)

本論文設計了兩種輔助帕金森氏症病友的復健系統－「步態復健系統」、「復健動作分析系統」。帕金森氏症可以透過復健，減緩運動障礙病症的惡化速度。本論文的目標就是期許帕金森氏症病友，能透過這兩套系統的輔助，在家中進行自主復健，達到控制病情之目的。
帕金森氏症病友在行走的步態上，通常會產生「帕金森式步伐」(Parkinsonian Gait) ，指的是上半身前傾、小碎步、交叉步態、加速步伐、步行凍結等等的症狀，這些病症會嚴重影響病友的行動能力。「步態復健系統」利用擴增實境的概念，將虛擬視覺線索利用微型投影機投射在實際地面上，讓病友在行走的時候，能根據此虛擬視覺線索跨步前進。另外，藉由放置在病友腳部的距離感測模組，計算步伐數，並偵測小碎步與交叉步態是否發生，一旦出現任何一種步態異常，系統就會發出警示語音來提醒病友應注意的事項。本系統透過提供視覺與聽覺的線索，希望能輔助病友行走，避免產生帕金森式步伐。
帕金森氏症是一種進行性的動作障礙疾病，隨著時間的進展，病症逐漸加重。透過各種復健動作的實施，能有效減緩病友的動作障礙程度。「復健動作分析系統」，能將Kinect擷取到的人體骨架資料，取出特徵，輸入自我組織特徵映射圖進行訓練，找出各動作的代表軌跡。當病友使用本系統進行復健動作分析，系統就會利用本論文所提出之SOMMTS (The SOM-based Motion Trajectory Similarity Measure) 演算法，辨識其復健動作的種類，回饋動作正確性分數、分析圖表與姿勢增減建議，提供病友復健動作的改進方向，以確實實行各種復健動作，提升復健效果。

摘要(英)

This thesis presents two rehabilitation systems to assist Parkinson’s patients: a gait rehabilitation system and a rehabilitation movement analysis system. The deterioration rate of Parkinson’s disease can be slowed down by regular rehabilitation. The objective of this thesis is to assist patients for rehabilitation at home, and to avoid the disease getting worse.
Parkinson’’s patients may develop ’’Parkinsonian gait’’, which is characterized by small shuffling steps, crossing gaits, freezing of gait, and so on. These symptoms seriously affect patient’’s walking ability to get close with people and nature outside, and that would endanger the physical and mental health. Therefore, we hope to provide patients with visual and auditory aid by combining augmented reality and distance sensor system. Expect patients to gain willingness and convenience for rehabilitation, and recover their normal gait in the past.
The proposed gait rehabilitation system uses the concept of augmented reality by projecting virtual visual cues on the ground, which can assist patients with these cues in ambulation. Besides, this system detects whether the height of steps are not high enough and the gait is cross or not. Once the violation is happened, this system will give the alarm to notice patients.
As time goes on, the motor symptoms of Parkinson’s disease would worsen gradually. The implementation of various rehabilitation movements can effectively relieve these symptoms. The proposed rehabilitation movement analysis system uses Kinect to capture human skeleton from the rehabilitation movement, and finds out a representative trajectory of each type of movement. When the movement is detected, this system will analyze it through the proposed SOMMTS system. The accuracy and some reference charts will be given to encourage patients to do rehabilitation more actually.

關鍵字(中)

★ 復健系統
★ 步態復健
★ 動作辨識
★ 自我組織特徵映射圖
★ 帕金森氏症

關鍵字(英)

★ assistive system
★ rehabilitation system
★ self-organizing map
★ motion recognition system
★ gait rehabilitation
★ Parkinson’s disease

論文目次

摘要 i
ABSTRACT iii
誌謝 v
目錄 vi
圖目錄List of Figures x
表目錄List of Tables xiv
第一章、緒論 1
1-1 研究動機 1
1-2 研究目的 2
1-3 論文架構 4
第二章、相關研究 5
2-1 帕金森氏症及其動作障礙之相關簡介 5
2-2 步態復健系統 8
2-3 復健動作分析系統 11
第三章、基於擴增實境之步態復健系統 16
3-1 系統硬體介紹 17
3-1-1 微處理器AVR ATmega168 17
3-1-2 藍芽無線傳輸模組 20
3-1-3 紅外線距離感測模組 21
3-1-4 震動偵測器 24
3-1-5 電源供應模組 25
3-1-6 電路板與外觀設計 26
3-2 系統軟體介紹 27
3-2-1 使用者模式選擇系統 29
3-2-2 計步與步態判定 30
3-2-3 步態訓練結果 32
第四章、基於自我組織特徵映射圖之復健動作分析系統 33
4-1 系統架構 33
4-2 復健姿勢分群 36
4-2-1 自我組織特徵映射圖 (SOM) 演算法介紹 36
4-2-2 以SOM為基礎實現復健姿勢分群 37
4-2-2-1 資料擷取 38
4-2-2-2 SOM相關設定 42
4-2-2-3 訓練SOM拓蹼圖 47
4-2-2-4 SOM之拓蹼關係量測函數 48
4-2-3 利用分水嶺演算法合併姿勢區塊 50
4-3 復健動作分析 57
4-3-1 在SOM上的動作軌跡表示 57
4-3-1-1 動作種類代表軌跡 59
4-3-1-2 使用者動作軌跡 65
4-3-2 SOMMTS演算法 65
4-3-2-1 基礎理論 66
4-3-2-2 動作軌跡相似度 70
4-3-3 分析復健動作 73
4-4 人機介面與系統操作流程 77
第五章、實驗結果 81
5-1 基於擴增實境之步態復健系統 81
5-1-1 計步準確度實驗 81
5-1-2 小碎步偵測實驗 82
5-1-3 交叉步態偵測準確度實驗 83
5-2 基於自我組織特徵映射圖之復健動作分析系統 83
5-2-1 復健動作辨識率實驗 88
5-2-2 復健動作延遲與面向傾斜之辨識率實驗 90
第六章、結論與未來展望 94
6-1 結論 94
6-2 未來展望 95
參考文獻 96
附錄一、距離感測模組電路圖 101
附錄二、12種復健動作 102

參考文獻

[1] A. M. Lozano and S. K. Kalia，帕金森新解答，科學人雜誌，2005年8月。
[2] 台灣神經學學會動作障礙學組，[Online]Available:
http://www.neuro.org.tw/movement/research/view.asp?r_no=78&page=4
Jun. 6, 2012[data accessed]
[3] 台大帕金森症暨動作障礙中心，[Online]Available:
http://www.pdcenterntuh.org.tw/ContentAspx/Browser00.aspx?isClass=3&setTable=1&type=3 Jun. 6, 2012[data accessed]
[4] 台北醫學大學附設醫院神經科，[Online]Available:
http://www.tmuh.org.tw/VS/neurology/neurol07-2.htm
Jun. 6, 2012[data accessed]
[5] J. Parkinson, An Essay on the Shaking Palsy. Whittingham and RowLand, 1817.
[6] M. L. Latash, “Postural Control and Locomotion in Parkinson’s Disease,” Neurophysiological basis of movement, pp. 325~326, 1998.
[7] S. W. R. Gowers, A Manual of Diseases of the Nervous System, Philadelphia : Blakiston Press, 1897.
[8] M. M. Hoehn and M. D. Yahr, “Parkinsonism : onset, progression, and mortality,” in Neurology, vol. 17, pp. 427-442, 1967.
[9] N. Giladi and Y. Balash, “Treatment of Parkinsonian Gait Disturbances,” Gait Disorders Evaluation and Management, vol. 14, pp. 273-288, 2005.
[10] J. Purzner, G. O. Paradiso, and D. Cunic, “Involvement of the Basal Ganglia and Cerebellar Motor Pathways in the Preparation of Self-Initiated and Externally Triggered Movements in Humans,” The Journal of Neuroscience, vol.27, pp.6029-6036, 2007.
[11] T. E. Howe, B. Lovgreen, F. Cody, V. J. Ashton, and J. A. Oldham, “Auditory cues can modify the gait of persons with early-stage Parkinson’’s disease: a method for enhancing parkinsonian walking performance?,” Clinical Rehabilitation, vol 17, pp. 363-367, 2003.
[12] A. M. Willems and A. Nieuwboer, “The use of rhythmic auditory cues to influence gait in patients with Parkinson’’s disease, the differential effect for freezers and non-freezers, an explorative study,” Disability & Rehabilitation, vol.28, pp. 721-728, 2006.
[13] 帕金森氏症的步態治療，[Online]Available:
http://blog.xuite.net/wuchouping/physiotherapy/42695710
Jun. 9, 2012[data accessed]
[14] PD Glasses Co.. [Online]Available:
http://www.pdglasses.com/ Jun. 10, 2012[data accessed]
[15] 張登慶，「應用擴增實境於帕金森氏症患者步態之改善」，國立成功大學醫學工程研究所碩士論文，民國九十八年。
[16] F. Li, P. Harmer and K. Fitzgerald, “Tai Chi and Postural Stability in Patients with Parkinson’s Disease ,” The New England Journal of Medicine, 366:511-519, 2012.
[17] KISSEI COMTEC CO.. [Online]Available:
http://www.kicnet.co.jp/ Jun. 10, 2012[data accessed]
[18] 山衛科技 [Online]Available:
http://www.samwells.com/product/bts/BTS_GEMIN.html
Jun. 10, 2012[data accessed]
[19] K. Niazmand, K. Tonn, and A. Kalaras, “A measurement device for motion analysis of patients with Parkinson’s disease using sensor based smart clothes,” in Proc. of the 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops, 2011.
[20] MIT Media Lab, “Esoma Exercise System－Cardiac Rehab Using the Kinect,” 2011. [Online]Available:
http://newmed.media.mit.edu/blog/jom/2011/03/17/esoma-exercise-system-cardiac-rehab-using-kinect Jun. 10, 2012[data accessed]
[21] J. D. Huang, “Kinerehab: A Kinect-based System for Physical Rehabilitation — A Pilot Study for Young Adults with Motor Disabilities,” in The 13th International ACM SIGACCESS Conference on Computers and Accessibility, Scotland, 2011.
[22] ATmega168 Datasheet. [Online]Available:
http://www.atmel.com/Images/doc2545.pdf Jun. 11, 2012[data accessed]
[23] Atmel Products-Microcontrollers-AVR®, 8-Bit RISC. [Online]Available:
http://www.atmel.com/products/avr/default.asp Jun. 11, 2012[data accessed]
[24] LP2985, [Online]Available: http://www.100y.com.tw/pdf_file/LP2985.PDF Jun. 12, 2012[data accessed]
[25] Kinect for Windows, [Online]Available:
http://www.microsoft.com/en-us/kinectforwindows/
Jun. 13, 2012[data accessed]
[26] T. Kohonen, Self-organizing and Associate Memory, Springer-Verlag, London, 3rd ed., 1989.
[27] T. Kohonen, Self-organizing Maps, Springer-Verlag, Berlin, 1995.
[28] 蘇木春、張孝德，「機器學習：類神經網路、模糊系統以及基因演算法則」，全華科技圖書，民國九十三年。
[29] D. C. Lay, “Change Of Basis,” Linear Algebra and Its Applications, Maryland, 3rd ed., 2006.
[30] M. C. Su, T. K. Liu, and H. C. Chang, “Improving the self-organizing feature map algorithm using an efficient initialization scheme,” Tamkang Journal of Science and Engineering, vol. 5, no. 1, pp. 35-48, March 2002.
[31] H. U. Bauer and K. Pawelzik, “Quantifying the neighborhood preservation of self-organization feature maps,” IEEE Trans. on Neural Network, vol.3, pp. 570-570, 1992.
[32] T. Villmann, R. Der, M. Herrman, and T. M. Martinetz, “Topology preservation in self-organization feature maps：exact definition and measurement,” IEEE Trans. on Neural Networks, vol. 8, No. 2, March, 1997.
[33] M. C. Su, C. H. Chou, and H. T. Chang, “A Healing Mechanism to Improve the Topological Preserving Property of Feature Maps,” IEEE Trans. INF. & SYST., vol. E85-D, No.4, APRIL, 2002.
[34] A. Ultsh and H. P. Siemon, “Kohonen’s self-organization feature maps for exploratory data analysis,” in Proc. of Neural Networks Conference(INNC’90), pp. 864-867, 1990.
[35] M. A. Kraaijveld, J. Mao, and A. K. Jain, “A nonlinear projection method based on Kohonen’s topology preserving maps,” IEEE Trans. on Neural Network, vol. 6, pp. 548-559, 1995.
[36] S. Beucher and C. Lantuejoul, “Use of Watersheds in Contour Detection,” France, 1979.
[Online]Available: http://cmm.ensmp.fr/~beucher/publi/watershed.pdf
Jun. 16, 2012[data accessed]
[37] L. Vincent and P. Soille, “Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations,” IEEE Trans. on Pattern Analysis And Machine Intelligence, vol. 13, No. 6, June 1991.
[38] R. Neapolitan and K. Naimipour, “Longest Common Subsequence,” Foundations of Algorithms Using C++ Pseudocode, 3rd ed., 2003.
[39] 施建仲，「使用線性加速感測晶片的計步器」，國立中央大學資訊工程研究所碩士論文，民國九十九年。
[40] 國泰醫院復健科，[Online]Available:
http://www.cgh.org.tw/tw/content/depart/P100/index.html
Oct. 11, 2011[data accessed]
[41] 巴金森氏症居家自我復健運動，[Online]Available:
http://www.youtube.com/watch?v=oRLF51OeOkU
May 12, 2012[data accessed]

指導教授

蘇木春(Mu-chun Su)

審核日期

2012-7-25

推文