| 研究生: |
路特反 Fauzan, Luthfan |
|---|---|
| 論文名稱: |
基於任務導向鏡像治療的虛擬實境復健系統開發及其於健康受測者的驗證 Development of a Virtual Reality Rehabilitation System based on Task-Oriented Mirror Therapy and its Verification on Healthy Subjects |
| 指導教授: |
林哲偉
Lin, Che-Wei |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 生物醫學工程學系 Department of BioMedical Engineering |
| 論文出版年: | 2020 |
| 畢業學年度: | 108 |
| 語文別: | 英文 |
| 論文頁數: | 115 |
| 中文關鍵詞: | 任務導向鏡像治療 、中風偏癱 、虛擬實境 |
| 外文關鍵詞: | Accuracy Improvement of Hand Movement Trajectory Capturing, Leap Motion Controller, Stroke Hemiplegia, Task-Oriented Mirror Therapy, Virtual Reality Rehabilitation |
| 相關次數: | 點閱:123 下載:0 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
世界範圍內的中風患病率很高。 2016年全球全球疾病卒中統計負擔研究指出,每年有超過1,367萬新發中風病例,超過8,000萬人患有中風。中風會導致身體一側肢體力量下降,稱之為偏癱。上肢偏癱的患者在抓握、握住、書寫和其他特定任務時會遇到困難。此外,偏癱可能會干擾患者的日常生活。因此,他們的生活質量會因此而降低。另一方面,近年來科技技術的快速發展,使研究人員已經意識到,技術是解決健康問題的強大工具,虛擬實境是療法中最有前途的技術之一。虛擬實境可以激勵患者進行復健計劃並改善運動功能。在進行傳統的鏡像治療時,患者往往會失去注意力、並抱怨無趣。在過往的研究指出,任務型的鏡像療法比動作型的鏡像治療更好,它可使患者變得集中注意力。本論文試圖在虛擬實境中開發任務導向任務的鏡像治療系統,使偏癱中風患者的中風復健中獲得更好的表現。本研究開發的任務導向鏡像治療虛擬實境系統包括硬體和軟件部分。在硬件部分,本研究使用Leap Motion感測手部動作,而OculusRift®虛擬實境頭盔用於顯示虛擬現實場景。本論文所提出的系統中的軟件負責生成使用者界面及互動功能。該軟件由Unity和Microsoft Visual Studio製作。
本論文提出的虛擬實境鏡像治療系統包含六個場景,腕部伸展並保持五秒鐘的移動、腕部伸展並按住五秒鐘、握筆做圓周運動、翻轉卡片運動、在箱子中投入一枚硬幣、移動物體運動。本系統已完成臨床試驗,有18名參與者被隨機分為兩組,並使用六項評估來測試該系統的有效性。它們是用於測量手部力量的捏舉活動(PHUA),用於測量感覺功能的Semmes Weinstein單絲(SWM),用於測量手部敏捷度的Box and Block Test(BBT),用於測量手感的明尼蘇達州手動敏捷度測試(MMDT)手靈巧的手。 Purdue釘板測試(PPT)用於測量手指和手的敏捷性,而抓握力測試/握力測試用於測量抓地力,橫向捏和鉗子抓地力。臨床試驗的統計結果證實,基於任務導向的鏡像療法的虛擬實境復健系統對健康的年輕人的感覺運動控制和手功能具有短期影響。與傳統的基於任務的鏡像治療相比,基於任務導向的虛擬實境鏡像治療可以執行更多類型的運動。
Stroke prevalence in the world is very high. A Study from Global Burden of Disease Stroke Statistics Worldwide in 2016 reported that there are more than 13.67 million new stroke cases each year, and more than 80 million people experience a stroke. Stroke can cause strength loss of extremities at one side of the body, which is defined as hemiplegia. A patient who experiences hemiplegia in upper extremities get difficulties in grasping, holding, writing, and other specific tasks. Moreover, it can disturb their daily life activities such as bathing, grooming, writing, etc. Consequently, their quality of life can decrease over time. On the other hand, technology has been rapidly developed in recent years. The researcher has realized that technology is a powerful tool to address health problems. One of the most promising technology in therapy is virtual reality. In a short time, virtual reality will present standardized clinical training in exposure therapy. It can make clinical practice become more comfortable, controllable, and accessible. Virtual reality also can motivate patients to do rehabilitation programs and improve motor function. While performing simple mirror therapy, the patients tend to lose focus and complain of boredom. Prior researches in this area denote that task-oriented mirror therapy is better than simple mirror therapy because it makes the patient become concentrated and feel more excited. This study attempted to develop task-oriented mirror therapy in a virtual reality environment to achieve better performance on stroke rehabilitation of stroke patients with hemiplegia. The task-oriented mirror therapy virtual reality rehabilitation system developed in this study included the hardware part and software part. For the hardware part, Leap Motion is used for hand movement capture, and Oculus Rift® is used for displaying the virtual reality scene. The software in the proposed system is responsible for generating user interface and interaction. The software is made by Unity and Microsoft Visual Studio. In order to achieve the function of task-oriented mirror therapy, this study has developed an algorithm to create a mirror hand and mirror objects.
This system had six scenes for task-oriented mirror therapy those were: Holding a pen, wrist extension and hold for five seconds movement; Holding a pen, wrist extension and hold for five seconds movement; Hold Pen, Make a Circle Movement; Flip a Card Movement; Put a Coin in The Container Movement; and the last Moving Light Object Movement. The effectiveness of the system is tested with a clinical trial that has been conducted. This clinical trial had healthy young participants to do virtual reality task-oriented mirror therapy. In the clinical trial, there were eighteen participants who were randomly divided into two groups, and six evaluations were used to test the effectiveness of the system. They were Pinch Holding Up Activity (PHUA) for measuring the motor control of the hand, Semmes Weinstein Monofilament (SWM) for measuring the sensory function, Box and Block Test (BBT) for measuring hand dexterity, Minnesota Manual Dexterity Test (MMDT) for measuring the hand dexterity hand. Purdue Pegboard Test (PPT) for measuring a finger and hand dexterity, and Grasp Power Test / Grip Strength Test for measuring grasp power, lateral pinch, and pincer grasp. The statistical result of the clinical trial confirms that the virtual reality rehabilitation system based on task-oriented mirror therapy has short-term effects on sensorimotor control and the hand function of healthy young adults. The virtual reality rehabilitation system based on task-oriented mirror therapy can do more types of movement compare to traditional task-oriented mirror therapy.
The sensor used in this study is a Leap Motion Controller. The sensor is a small, portable, non-contact, and fast hand-tracking sensor. This sensor is very convenient for therapy, but this sensor’s problem is not that accurate compared to the motion analysis system. However, the motion analysis system is expensive and non-portable. So in this study, it also did sub-study to improve the accuracy of the sensor using regression and neural networks. The result of accuracy improvement of hand movement trajectory capturing using regression and neural network in these studies are preprocessing data with removing the outlier data and a low pass filter reduces RMSE. Regression with time delay 20 has the best result when training the data, and Long short-term memory (LSTM) has the best result when predicting the data. The limitation is data with empty data and has a huge error that can not be processed.
[1] W. S. Organization. "Global Stroke Fact Sheet," [Online]. Available: https://bit.ly/Ref0001. [Acessed: May. 18, 2020]
[2] K.-B. Lim, H.-J. Lee, J. Yoo, H.-J. Yun, and H.-J. Hwang, “Efficacy of Mirror Therapy Containing Functional Tasks in Poststroke Patients,” Annals of Rehabilitation Medicine, vol. 40, pp. 629, 08/01, 2016.
[3] F.-I. Hsieh, and H.-Y. Chiou, “Stroke: Morbidity, Risk Factors, and Care in Taiwan,” J Stroke, vol. 16, no. 2, pp. 59-64, 5, 2014.
[4] G. Gillen, Stroke rehabilitation : a function-based approach, 2016.
[5] N. Dictionary. "Hemiplegia/hemiparesis," [Online] . Available: https://bit.ly/Ref002. [Acessed: May. 19, 2020]
[6] J. A. Stevens, and M. E. P. Stoykov, “Using Motor Imagery in the Rehabilitation of Hemiparesis 11No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit on the authors or on any organization with which the authors are associated,” Archives of Physical Medicine and Rehabilitation, vol. 84, no. 7, pp. 1090-1092, 2003/07/01/, 2003.
[7] F. Coupar, A. Pollock, P. Rowe, C. Weir, and P. Langhorne, “Predictors of upper limb recovery after stroke: a systematic review and meta-analysis,” Clinical Rehabilitation, vol. 26, no. 4, pp. 291-313, 2012/04/01, 2011.
[8] M. Trombetta, P. P. Bazzanello Henrique, M. R. Brum, E. L. Colussi, A. C. B. De Marchi, and R. Rieder, “Motion Rehab AVE 3D: A VR-based exergame for post-stroke rehabilitation,” Comput Methods Programs Biomed, vol. 151, pp. 15-20, Nov, 2017.
[9] S. A. Billinger, R. Arena, J. Bernhardt, J. J. Eng, B. A. Franklin, C. M. Johnson, M. MacKay-Lyons, R. F. Macko, G. E. Mead, E. J. Roth, M. Shaughnessy, A. Tang, C. American Heart Association Stroke, C. Council on, N. Stroke, L. Council on, H. Cardiometabolic, E. Council on, Prevention, and C. Council on Clinical, “Physical activity and exercise recommendations for stroke survivors: a statement for healthcare professionals from the American Heart Association/American Stroke Association,” Stroke, vol. 45, no. 8, pp. 2532-53, Aug, 2014.
[10] H. B. Bosworth, “How can innovative uses of technology be harnessed to improve medication adherence?,” Expert Review of Pharmacoeconomics & Outcomes Research, vol. 12, no. 2, pp. 133-135, 2012/04/01, 2012.
[11] P. D. Bryn Farnsworth. "The Future of Therapy – VR and Biosensors," [Online]. Available: https://bit.ly/Ref03. [Acessed: May. 19, 2020]
[12] T. Love. "VR May Change the Future of Therapy," [Online] . Available: https://bit.ly/Ref04. [Acessed: May. 19, 2020]
[13] K.-H. Chang, "Chapter 4 - Assembly Modeling," e-Design, K.-H. Chang, ed., pp. 169-231, Boston: Academic Press, 2015.
[14] T. Massetti, T. D. da Silva, T. B. Crocetta, R. Guarnieri, B. L. de Freitas, P. Bianchi Lopes, S. Watson, J. Tonks, and C. B. de Mello Monteiro, “The Clinical Utility of Virtual Reality in Neurorehabilitation: A Systematic Review,” J Cent Nerv Syst Dis, vol. 10, pp. 1179573518813541, 2018.
[15] D. Boeldt, E. McMahon, M. McFaul, and W. Greenleaf, “Using Virtual Reality Exposure Therapy to Enhance Treatment of Anxiety Disorders: Identifying Areas of Clinical Adoption and Potential Obstacles,” Frontiers in psychiatry, vol. 10, pp. 773-773, 2019.
[16] Y. J. Kang, H. K. Park, H. J. Kim, T. Lim, J. Ku, S. Cho, S. I. Kim, and E. S. Park, “Upper extremity rehabilitation of stroke: facilitation of corticospinal excitability using virtual mirror paradigm,” Journal of neuroengineering and rehabilitation, vol. 9, pp. 71-71, 2012.
[17] G. Saposnik, L. G. Cohen, M. Mamdani, S. Pooyania, M. Ploughman, D. Cheung, J. Shaw, J. Hall, P. Nord, S. Dukelow, Y. Nilanont, F. De Los Rios, L. Olmos, M. Levin, R. Teasell, A. Cohen, K. Thorpe, A. Laupacis, M. Bayley, and C. Stroke Outcomes Research, “Efficacy and safety of non-immersive virtual reality exercising in stroke rehabilitation (EVREST): a randomised, multicentre, single-blind, controlled trial,” Lancet Neurol, vol. 15, no. 10, pp. 1019-27, Sep, 2016.
[18] C.-Y. Wu, P.-C. Huang, Y.-T. Chen, K.-C. Lin, and H.-W. Yang, “Effects of Mirror Therapy on Motor and Sensory Recovery in Chronic Stroke: A Randomized Controlled Trial,” Archives of Physical Medicine and Rehabilitation, vol. 94, no. 6, pp. 1023-1030, 2013/06/01/, 2013.
[19] K. Sathian, A. I. Greenspan, and S. L. Wolf, “Doing It with Mirrors: A Case Study of a Novel Approach to Neurorehabilitation,” Neurorehabilitation and Neural Repair, vol. 14, no. 1, pp. 73-76, 2000/03/01, 2000.
[20] V. S. Ramachandran, D. Rogers-Ramachandran, and S. Cobb, “Touching the phantom limb,” Nature, vol. 377, no. 6549, pp. 489-90, Oct 12, 1995.
[21] V. S. Ramachandran, and D. Rogers-Ramachandran, “Synaesthesia in phantom limbs induced with mirrors,” Proc Biol Sci, vol. 263, no. 1369, pp. 377-86, Apr 22, 1996.
[22] A. Bhasin, P. Srivastava, S. Kumaran, R. Bhatia, and S. Mohanty, “Neural interface of mirror therapy in chronic stroke patients: A functional magnetic resonance imaging study,” Neurology India, vol. 60, pp. 570-6, 11/01, 2012.
[23] K. N. Arya, S. Pandian, D. Kumar, and V. Puri, “Task-Based Mirror Therapy Augmenting Motor Recovery in Poststroke Hemiparesis: A Randomized Controlled Trial,” J Stroke Cerebrovasc Dis, vol. 24, no. 8, pp. 1738-48, Aug, 2015.
[24] S. Sütbeyaz, G. Yavuzer, N. Sezer, and B. F. Koseoglu, “Mirror Therapy Enhances Lower-Extremity Motor Recovery and Motor Functioning After Stroke: A Randomized Controlled Trial,” Archives of Physical Medicine and Rehabilitation, vol. 88, no. 5, pp. 555-559, 2007/05/01/, 2007.
[25] Y.-R. Paik, S.-K. Kim, J.-S. Lee, and B.-J. Jeon, “Simple and Task-oriented Mirror Therapy for Upper Extremity Function in Stroke Patients: A Pilot Study,” Hong Kong Journal of Occupational Therapy, vol. 24, no. 1, pp. 6-12, 2014/06/01/, 2014.
[26] A. Stasieńko, and I. Sarzyńska-Długosz, “Virtual Reality in Neurorehabilitation,” Advances in Rehabilitation, vol. 30, 2016.
[27] B. Ragamai, and K. Madhavi, “COMPARISON OF TASK ORIENTED APPROACH AND MIRROR THERAPY FOR POST STROKE HAND FUNCTION REHABILITATION,” International Journal of Physiotherapy and Research, vol. 7, pp. 3301-3307, 12/11, 2019.
[28] M. Villiger, S. Chandrasekharan, and T. N. Welsh, “Activity of human motor system during action observation is modulated by object presence,” Experimental Brain Research, vol. 209, no. 1, pp. 85-93, 2011/03/01, 2011.
[29] S. Bondoc, J. Booth, G. Budde, K. Caruso, M. DeSousa, B. Earl, K. Hammerton, and J. Humphreys, “Mirror Therapy and Task-Oriented Training for People With a Paretic Upper Extremity,” Am J Occup Ther, vol. 72, no. 2, pp. 7202205080p1-7202205080p8, Mar/Apr, 2018.
[30] K. L. M. Chan, "13 - Automation in neurorehabilitation: Needs addressed by clinicians," Intelligent Biomechatronics in Neurorehabilitation, X. Hu, ed., pp. 209-224: Academic Press, 2020.
[31] T. In, K. Lee, and C. Song, “Virtual Reality Reflection Therapy Improves Balance and Gait in Patients with Chronic Stroke: Randomized Controlled Trials,” Med Sci Monit, vol. 22, pp. 4046-4053, Oct 28, 2016.
[32] N. M. da Silva Ribeiro, D. D. Ferraz, É. Pedreira, Í. Pinheiro, A. C. da Silva Pinto, M. G. Neto, L. R. A. dos Santos, M. G. G. Pozzato, R. S. Pinho, and M. R. Masruha, “Virtual rehabilitation via Nintendo Wii® and conventional physical therapy effectively treat post-stroke hemiparetic patients,” Topics in Stroke Rehabilitation, vol. 22, no. 4, pp. 299-305, 2015/08/01, 2015.
[33] F. Zhou, R. Yin, G. Trajcevski, K. Zhang, J. Wu, and A. Khokhar, “Improving human mobility identification with trajectory augmentation,” GeoInformatica, 2019/08/29, 2019.
[34] M. A. Corporation. "Motion Analysis Website," [Online]. Available: https://bit.ly/Ref005. [Acessed: May. 21, 2020]
[35] V. M. S. Ltd. "Vicon Website," [Online]. Available: https://bit.ly/Ref06. [Acessed: May. 21, 2020]
[36] Xsens. "Xsens Website," [Online]. Available: https://bit.ly/Ref0007. [Acessed: May. 21, 2020]
[37] E. Niechwiej-Szwedo, D. Gonzalez, M. Nouredanesh, and J. Tung, “Evaluation of the Leap Motion Controller during the performance of visually-guided upper limb movements,” PloS one, vol. 13, no. 3, pp. e0193639-e0193639, 2018.
[38] T. de Campos, and D. W. Murray, Regression-based Hand Pose Estimation from Multiple Cameras, 2006.
[39] F. Kirac, Y. E. Kara, and L. Akarun, “Hierarchically constrained 3D hand pose estimation using regression forests from single frame depth data,” Pattern Recognition Letters, vol. 50, pp. 91-100, 2014/12/01/, 2014.
[40] M. Huynh Trung, and G. Alaghband, Scene-LSTM: A Model for Human Trajectory Prediction, 2018.
[41] E. Fridman, Introduction to Time-Delay Systems: Birkhäuser, Cham, 2014.
[42] L. M. Weber, D. M. Nilsen, G. Gillen, J. Yoon, and J. Stein, “Immersive Virtual Reality Mirror Therapy for Upper Limb Recovery After Stroke: A Pilot Study,” Am J Phys Med Rehabil, vol. 98, no. 9, pp. 783-788, Sep, 2019.
[43] M. C. B. Seixas, J. C. S. Cardoso, and M. T. G. Dias, "The Leap Motion movement for 2D pointing tasks: Characterisation and comparison to other devices." pp. 15-24.
[44] Ultraleap. "Leap Motion Controller," [Online]. Available: https://bit.ly/Ref008. [Acessed: May. 22, 2020]
[45] A. Colgan. "How Does the Leap Motion Controller Work?," [Online]. Available: https://bit.ly/Ref009. [Acessed: May. 22, 2020]
[46] H. Jin, Q. Chen, Z. Chen, Y. Hu, and J. Zhang, “Multi-LeapMotion sensor based demonstration for robotic refine tabletop object manipulation task,” CAAI Transactions on Intelligence Technology, vol. 1, no. 1, pp. 104-113, 2016/01/01/, 2016.
[47] H. Shen, X. Yang, H. Hu, Q. Mou, and Y. Lou, "Hand Trajectory Extraction of Human Assembly Based on Multi-Leap Motions." pp. 193-198.
[48] Oculus. "Oculus Rift," [Online]. Available: https://bit.ly/Ref010. [Acessed: May. 22, 2020]
[49] G. Grasso, P. Perconti, and A. Plebe, "Assessing Social Driving Behavior: Proceedings of the 2nd International Conference on Intelligent Human Systems Integration (IHSI 2019): Integrating People and Intelligent Systems, February 7-10, 2019, San Diego, California, USA," pp. 111-115, 2019.
[50] P. Desai, P. Desai, K. Ajmera, and K. Mehta, “A Review Paper on Oculus Rift-A Virtual Reality Headset,” International Journal of Engineering Trends and Technology, vol. 13, 08/05, 2014.
[51] S. L. P. Smith, Richard "The best VR headsets in 2020," [Online]. Available: https://bit.ly/Ref11. [Acessed: May. 22, 2020]
[52] A. Kim, N. Darakjian, and J. M. Finley, “Walking in fully immersive virtual environments: an evaluation of potential adverse effects in older adults and individuals with Parkinson's disease,” J Neuroeng Rehabil, vol. 14, no. 1, pp. 16, Feb 21, 2017.
[53] A. Juliani, V.-P. Berges, E. Vckay, Y. Gao, H. Henry, M. Mattar, and D. Lange, Unity: A General Platform for Intelligent Agents, 2018.
[54] Microsoft. "Welcome to the Visual Studio IDE," [Online]. Available: https://bit.ly/Ref012. [Acessed: May. 22, 2020]
[55] H. Y. Hsu, P. T. Chen, T. S. Kuan, H. C. Yang, S. J. Shieh, and L. C. Kuo, “A Touch-Observation and Task-Based Mirror Therapy Protocol to Improve Sensorimotor Control and Functional Capability of Hands for Patients With Peripheral Nerve Injury,” Am J Occup Ther, vol. 73, no. 2, pp. 7302205020p1-7302205020p10, Mar/Apr, 2019.
[56] H. Y. Hsu, L. C. Kuo, H. Y. Chiu, I. M. Jou, and F. C. Su, “Functional sensibility assessment. Part II: Effects of sensory improvement on precise pinch force modulation after transverse carpal tunnel release,” J Orthop Res, vol. 27, no. 11, pp. 1534-9, Nov, 2009.
[57] H. Y. Hsu, T. S. Kuan, H. C. Yang, C. L. Tsai, C. H. Yeh, C. C. Lin, and L. C. Kuo, “Effects of the Surface Texture and Weight of a Pinch Apparatus on the Reliability and Validity of a Hand Sensorimotor Control Assessment,” Arch Phys Med Rehabil, vol. 100, no. 4, pp. 620-626, Apr, 2019.
[58] J. Desrosiers, R. Hébert, G. Bravo, and E. Dutil, “The Purdue Pegboard Test: Normative data for people aged 60 and over,” Disability and Rehabilitation, vol. 17, no. 5, pp. 217-224, 1995/01/01, 1995.
[59] L. Insrument. "Purdue Pegboard Test: User Instructions Model 32020A," [Online]. Available: https://bit.ly/Ref15. [Acessed: May. 25, 2020]
[60] D. Lindstrom, and N. Veenstra, “Examining the Purdue Pegboard Test for Occupational Therapy Practice,” The Open Journal of Occupational Therapy, vol. 3, 07/01, 2015.
[61] L. Insrument. "The Minnesota Manual Dexterity Test : Examiner's Manual Model 32032," [Online]. Available: https://bit.ly/Ref14. [Acessed: May. 25, 2020]
[62] N. Kapadia, V. Zivanovic, M. Verrier, and M. R. Popovic, “Toronto rehabilitation institute-hand function test: assessment of gross motor function in individuals with spinal cord injury,” Top Spinal Cord Inj Rehabil, vol. 18, no. 2, pp. 167-86, Spring, 2012.
[63] J. Desrosiers, A. Rochette, R. Hébert, and G. Bravo, “The Minnesota Manual Dexterity Test: Reliability, Validity and Reference Values Studies with Healthy Elderly People,” Canadian Journal of Occupational Therapy, vol. 64, pp. Canadian Journal of Occupational Therapy, 1997.
[64] L. R. Surrey, K. Nelson, C. Delelio, D. Mathie-Majors, N. Omel-Edwards, J. Shumaker, and G. Thurber, “A comparison of performance outcomes between the Minnesota Rate of Manipulation Test and the Minnesota Manual Dexterity Test,” Work, vol. 20, no. 2, pp. 97-102, 2003.
[65] M. H. Haloua, I. Sierevelt, and W. J. Theuvenet, “Semmes-weinstein monofilaments: influence of temperature, humidity, and age,” J Hand Surg Am, vol. 36, no. 7, pp. 1191-6, Jul, 2011.
[66] H. Melchior, J. J. Vatine, and P. L. Weiss, “Is there a relationship between light touch-pressure sensation and functional hand ability?,” Disabil Rehabil, vol. 29, no. 7, pp. 567-75, Apr 15, 2007.
[67] Y. Feng, F. J. Schlösser, and B. E. Sumpio, “The Semmes Weinstein monofilament examination as a screening tool for diabetic peripheral neuropathy,” J Vasc Surg, vol. 50, no. 3, pp. 675-82, 682.e1, Sep, 2009.
[68] S. Figueiredo. "Box and Block Test (BBT)," [Online]. Available: https://bit.ly/Ref013. [Acessed: May. 25, 2020]
[69] L. A. Ashton, and S. I. Myers, “Serial Grip Strength Testing- Its Role In Assessment Of Wrist And Hand Disability,” The Internet Journal of Surgery, vol. 5, 2003.
[70] L. J. Klein, "Chapter 5 - Evaluation of the Hand and Upper Extremity," Fundamentals of Hand Therapy, C. Cooper, ed., pp. 73-97, Saint Louis: Mosby, 2007.
[71] M. A. Laboratory. "Major Equipment," [Online]. Available: https://bit.ly/Ref016. [Acessed: May. 26, 2020]
[72] M. A. Corporation. "Cortex Softare," [Online]. Available: https://bit.ly/Ref017. [Acessed: May. 26, 2020]
[73] I. MathWorks. "What is MATLAB?," [Online]. Available: https://bit.ly/Ref018. [Acessed: May. 26, 2020]
[74] C. E. Rasmussen, and C. K. I. Williams, Gaussian Processes for Machine Learning: The MIT Press, 2006.
[75] D. Kriesel, A Brief Introduction to Neural Networks, 2007.
[76] Y. Upadhyay. "Introduction to FeedForward Neural Networks," [Online]. Available: https://bit.ly/Ref019. [Acessed: May. 27, 2020]
[77] S. Hochreiter, and J. Schmidhuber, “Long Short-term Memory,” Neural computation, vol. 9, pp. 1735-80, 12/01, 1997.
[78] J. Moody. "What does RMSE really mean?," [Online]. Available: https://bit.ly/Ref020. [Acessed: May. 27, 2020]
[79] Y.-A. Lin, “Development of a Mirror Therapy-based Virtual Reality System for Rehabilitation of Stroke Hemiplegia Patients,” Department of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan, 2019.