Assessment of movement quality in robot- assisted upper limb rehabilitation after stroke: a review
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- 作者：Nurdiana Nordin (1) (3)
Sheng Quan Xie (1) (4)
Burkhard W眉nsche (2)
1. Department of Mechanical Engineering ; The University of Auckland ; 20 Symonds Street ; Auckland ; New Zealand
3. Faculty of Electrical Engineering ; Universiti Teknikal Malaysia Melaka ; Hang Tuah Jaya ; Melaka ; Malaysia
4. State Key Laboratory of Digital Equipment and Technology ; Huazhong University of Science & Technology ; Wuhan ; China
2. Department of Computer Science ; The University of Auckland ; 23 Symonds Street ; Auckland ; New Zealand - 关键词：Robot kinematics ; Motion analysis ; Rehabilitation robotics ; Stroke
- 刊名：Journal of NeuroEngineering and Rehabilitation
- 出版年：2014
- 出版时间：December 2014
- 年：2014
- 卷：11
- 期：1
- 全文大小：1,700 KB
- 参考文献：1. Rohrer, B, Fasoli, S, Krebs, HI, Hughes, R, Volpe, B, Frontera, WR, Stein, J, Hogan, N (2002) Movement smoothness changes during stroke recovery. J Neurosci 22: pp. 8297-304
2. Dobkin, BH (2004) Strategies for stroke rehabilitation. Lancet Neurol 3: pp. 528-36
3. Kwakkel, G, Kollen, BJ, Krebs, HI (2008) Effects of robot-assisted therapy on upper limb recovery after stroke: a systematic review. J Neurorehabil Neural Repair 22: pp. 111-21
4. Kitago, T, Liang, J, Huang, VS, Hayes, S, Simon, P, Tenteromano, L, Lazar, RM, Marshall, RS, Mazzoni, P, Lennihan, L, Krakauer, JW (2013) Improvement after constraint-induced movement therapy: recovery of normal motor control or task-specific compensation?. J Neurorehabil Neural Repair 27: pp. 99-109
5. Sivan, M, O鈥機onnor, RJ, Makower, S, Bhakta, B (2011) Systematic review of outcome measures used in the evaluation of robot-assisted upper limb exercise in stroke. J Rehabil Med 43: pp. 181-189
6. Amirabdollahian, F, Loureiro, R, Gradwell, E, Collin, C, Harwin, W, Johnson, G (2007) Multivariate analysis of the Fugl-Meyer outcome measures assessing the effectiveness of GENTLE/S robot-mediated stroke therapy. J Neuroeng Rehabil 4: pp. 4
7. Hu, XL, Tong, KY, Li, R, Chen, M, Xue, JJ, Ho, SK, Chen, PN (2010) Effectiveness of functional electrical stimulation (FES)-robot assisted wrist training on persons after stroke. Proc 2010 Annu. Int. Conf. IEEE EMBS, Buenos Aires, pp. 5819-5822
8. Mehrholz, J, Platz, T, Kugler, J, Pohl, M (2008) Electromechanical and robot-assisted arm training for improving arm function and activities of daily living after stroke. Cochrane Database Syst Rev 4: pp. CD006876
9. Sullivan, KJ (2007) On 鈥淢odified constraint-induced therapy..鈥?Page and Levine. Phys Ther 2007; 87:872 878. Phys Ther 87: pp. 1560
10. Zollo, L, Rossini, L, Bravi, M, Magrone, G, Sterzi, S, Guglielmelli, E (2011) Quantitative evaluation of upper-limb motor control in robot-aided rehabilitation. Med Biol Eng Comput 49: pp. 1131-1144
11. Johnson, MJ, Wang, S, Bai, P, Strachota, E, Tchekanov, G, Melbye, J, McGuire, J (2011) Bilateral assessment of functional tasks for robot-assisted therapy applications. Med Biol Eng Comput 49: pp. 1157-1171
12. Volpe, BT, Lynch, D, Rykman-Berland, A, Ferraro, M, Galgano, M, Hogan, N, Krebs, HI (2008) Intensive sensorimotor arm training mediated by therapist or robot improves hemiparesis in patients with chronic stroke. J Neurorehabil Neural Repair 22: pp. 305-310
13. Colombo, R, Pisano, F, Micera, S, Mazzone, A, Delconte, C, Carrozza, MC, Dario, P, Minuco, G (2008) Assessing mechanisms of recovery during robot-aided neurorehabilitation of the upper limb. J Neurorehabil Neural Repair 22: pp. 50-63
14. Kahn, LE, Zygman, ML, Rymer, WZ, Reinkensmeyer, DJ (2006) Robot-assisted reaching exercise promotes arm movement recovery in chronic hemiparetic stroke: a randomized controlled pilot study. J Neuroeng Rehabil 3: pp. 12
15. Wu, C-Y, Yang, C-L, Lin, K-C, Wu, L-L (2013) Unilateral versus bilateral robot-assisted rehabilitation on arm-trunk control and functions post stroke: a randomized controlled trial. J Neuroeng Rehabil 10: pp. 35
16. Kim, H, Miller, LM, Fedulow, I, Simkins, M, Abrams, GM, Byl, N, Rosen, J (2013) 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 21: pp. 153-64
17. Schaefer, SY, Haaland, KY, Sainburg, RL (2007) Ipsilesional motor deficits following stroke reflect hemispheric specializations for movement control. Brain J Neurol 130: pp. 2146-2158
18. Coderre, AM, Zeid, AA, Dukelow, SP, Demmer, MJ, Moore, KD, Demers, MJ, Bretzke, H, Herter, TM, Glasgow, JI, Norman, KE, Bagg, SD, Scott, SH (2010) Assessment of upper-limb sensorimotor function of subacute stroke patients using visually guided reaching. J Neurorehabil Neural Repair 24: pp. 528-541
19. Semrau, JA, Herter, TM, Scott, SH, Dukelow, SP (2013) Robotic identification of kinesthetic deficits after stroke. Stroke; J Cerebral Circ 44: pp. 3414-3421
20. Dukelow, SP, Herter, TM, Bagg, SD, Scott, SH (2012) The independence of deficits in position sense and visually guided reaching following stroke. J Neuroeng Rehabil 9: pp. 72
21. Fasoli, SE, Krebs, HI, Stein, J, Frontera, WR, Hogan, N (2003) Effects of robotic therapy on motor impairment and recovery in chronic stroke. Arch Phys Med Rehabil 84: pp. 477-482
22. Kahn, LE, Lum, PS, Rymer, WZ, Reinkensmeyer, DJ (2006) Robot-assisted movement training for the stroke-impaired arm: Does it matter what the robot does?. J Rehabil Res Dev 43: pp. 619
23. Lang, CE, Bland, MD, Bailey, RR, Schaefer, SY, Birkenmeier, RL (2013) Assessment of upper extremity impairment, function, and activity after stroke: foundations for clinical decision making. J Hand Therapy 26: pp. 104-115
24. Alt Murphy, M, Will茅n, C, Sunnerhagen, KS (2011) Kinematic variables quantifying upper-extremity performance after stroke during reaching and drinking from a glass. J Neurorehabil Neural Repair 25: pp. 71-80
25. Johnson, MJ, Johnson, LM, Ramachandran, B, Winters, JM, Kosasih, JB (2006) Robotic systems that rehabilitate as well as motivate: three strategies for motivating impaired arm use. The First IEEE/RAS-EMBS Int. Conf. Biomedical Robotics and Biomechatronics, 2006 (BioRob). IEEE, Pisa, pp. 254-259
26. Abdullah, HA, Tarry, C, Datta, R, Mittal, GS, Abderrahim, M (2007) Dynamic biomechanical model for assessing and monitoring robot-assisted upper-limb therapy. J Rehabil Res Dev 44: pp. 43
27. Colombo, R, Pisano, F, Mazzone, A, Delconte, C, Minuco, G, Micera, S, Carrozza, MC, Dario, P (2006) Motor performance evaluation to improve patient鈥檚 compliance during robot-aided rehabilitation. The First IEEE/RAS-EMBS Int. Conf. on Biomedical Robotics and Biomechatronics, 2006 (BioRob). IEEE, Pisa, pp. 1090-1094
28. Kung, P-C, Lin, C-CK, Ju, M-S (2010) Neuro-rehabilitation robot-assisted assessments of synergy patterns of forearm, elbow and shoulder joints in chronic stroke patients. Clin Biomech (Bristol, Avon) 25: pp. 647-554
29. Lewis, GN, Perreault, EJ (2009) An assessment of robot-assisted bimanual movements on upper limb motor coordination following stroke. IEEE Trans Neural Syst Rehabil Eng 17: pp. 595-604
30. Lacquaniti, F, Ferrigno, G, Pedotti, A, Soechting, JF, Terzuolo, C (1987) Changes in spatial scale in drawing and handwriting: kinematic contributions by proximal and distal joints. J Neuroscience 7: pp. 819-828
31. Soechting, J, Lacquaniti, F, Terzuolo, C (1986) Coordination of arm movements in three-dimensional space Sensorimotor mapping during drawing movement. J Neuroscience 17: pp. 295-311
32. Rabadi, MH, Rabadi, FM (2006) Comparison of the action research arm test and the Fugl-Meyer assessment as measures of upper-extremity motor weakness after stroke. Arch Phys Med Rehabil 87: pp. 962-966
33. Wolf, SL, Catlin, PA, Ellis, M, Archer, AL, Morgan, B, Piacentino, A (2001) Assessing wolf motor function test as outcome measure for research in patients after stroke. Stroke 32: pp. 1635-1639
34. Connell, LA, Tyson, SF (2012) Clinical reality of measuring upper-limb ability in neurologic conditions: a systematic review. Arch Phys Med Rehabil 93: pp. 221-228
35. Bosecker, C, Dipietro, L, Krebs, HI (2010) Kinematic robot-based evaluation scales and clinical counterparts to measure upper limb motor performance in patients with chronic stroke. J Neurorehabil Neural Repair 24: pp. 62-69
36. Winward, CE, Halligan, P, Wade, DT (1999) Current practice and clinical relevance of somatosensory assessment after stroke. Clin Rehabil 13: pp. 48-55
37. Lang, CE, Beebe, JA (2007) Relating movement control at 9 upper extremity segments to loss of hand function in people with chronic hemiparesis. J Neurorehabil Neural Repair 21: pp. 279-291
38. Twitchell, TE (1951) The restoration of motor function following hemiplegia in man. Brain J Neurol 74: pp. 443-480
39. Dipietro, L, Krebs, HI, Fasoli, SE, Volpe, BT, Stein, J, Bever, C, Hogan, N (2007) Changing motor synergies in chronic stroke. J Neurophysiol 98: pp. 757-768
40. Lo, HS, Xie, SQ (2012) Exoskeleton robots for upper-limb rehabilitation: state of the art and future prospects. Med Eng Phys 34: pp. 261-268
41. van Delden, aLEQ, Peper, CLE, Kwakkel, G, Beek, PJ (2012) A systematic review of bilateral upper limb training devices for poststroke rehabilitation. Stroke Res Treat 2012: pp. 17
42. Zhou, H, Hu, H (2008) Human motion tracking for rehabilitation: A survey. Biomed Signal Process Control 3: pp. 1-18
43. Wagner, JM, Lang, CE, Sahrmann, SA, Edwards, DF, Dromerick, AW (2007) Sensorimotor impairments and reaching performance in subjects with poststroke hemiparesis during the first few months of recovery. Phys Ther 87: pp. 751-765
44. Daly, JJ, Hogan, N, Perepezko, EM, Krebs, HI, Rogers, JM, Goyal, KS, Dohring, ME, Fredrickson, E, Nethery, J, Ruff, RL (2005) Response to upper-limb robotics and functional neuromuscular. J Rehabil Res Dev 42: pp. 723
45. Conroy, S, Dipietro, L, Jones-Lush, LM, Zhan, M, Finley, MA, Wittenberg, GF, Krebs, HI, Bever, CT (2011) Effect of gravity on robot-assisted motor training after chronic stroke: a randomized trial. Arch Phys Med Rehabil 92: pp. 1754-1761
46. Mazzoleni, S, Posteraro, F, Filippi, M, Forte, F, Micera, S, Dario, P, Carrozza, MC (2011) Biomechanical assessment of reaching movements in post-stroke patients during a robot-aided rehabilitation. Appl Bionics Biomech 8: pp. 39-54
47. Mazzoleni, S, Crecchi, R, Posteraro, F, Carroza, MC (2012) Effects of robot-assisted wrist therapy in chronic stroke patients: a kinematic approach. The Fourth IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics. pp. 1978-1982
48. Mazzoleni, S, Sale, P, Tiboni, M, Franceschini, M, Carrozza, MC, Posteraro, F (2013) Upper limb robot-assisted therapy in chronic and subacute stroke patients: a kinematic analysis. Am J Phys Med Rehabil Assoc Acad Physiatrists 92: pp. 26-37
49. Squeri, V, Zenzeri, J, Morasso, P, Basteris, A (2011) Integrating proprioceptive assessment with proprioceptive training of stroke patients. Proc. IEEE Int Conf Rehabil Robotics 2011: pp. 5975500
50. Frisoli, A, Sotgiu, E, Procopio, C, Bergamasco, M, Chisari, C, Lamola, G, Rossi, B (2012) Training and assessment of upper limb motor function with a robotic exoskeleton after stroke. 2012 4th IEEE RAS & EMBS Int. Conf. on Biomedical Robotics and Biomechatronics (BioRob). IEEE, Rome, pp. 1782-1787
51. Frisoli, A, Chisari, C, Sotgiu, E Rehabilitation training and evaluation with the L-EXOS in chronic stroke. In: Donnelly, M, Paggetti, C, Nugent, C, Mokhtari, M eds. (2012) Impact Analysis of Solutions for Chronic Disease Prevention and Management. Lecture Notes in Computer Science. Springer, Berlin, Heidelberg, pp. 242-245
52. Reinkensmeyer, DJ, Kahn, LE, Averbuch, M, McKenna-Cole, A, Schmit, BD, Rymer, WZ (2000) Understanding and treating arm movement impairment after chronic brain injury: progress with the ARM guide. J Rehabil Res Dev 37: pp. 653-62
53. Burgar, CG, Lum, PS, Shor, PC, Machiel, HF, Machiel Van der Loos, HF (2000) Development of robots for rehabilitation therapy: the Palo Alto VA/Stanford experience. J Rehabil Res Dev 37: pp. 663-673
54. Kahn, L, Zygman, M, Rymer, WZ, Reinkensmeyer, DJ (2001) Effect of robot-assisted and unassisted exercise on functional reaching in chronic hemiparesis. 2001 Conf. Proc. 23rd Annu. Int. Conf. IEEE Engineering in Medicine and Biology Society. IEEE, Istanbul, pp. 1344-1347
55. Lum, PS, Burgar, CG, Shor, PC (2004) Evidence for improved muscle activation patterns after retraining of reaching movements with the MIME robotic system in subjects with post-stroke hemiparesis. IEEE Trans Neural Syst Rehabil Eng 12: pp. 186-194
56. Sanchez, R, Liu, J, Rao, S (2006) Automating arm movement training following severe stroke: functional exercises with quantitative feedback in a gravity-reduced environment. IEEE Trans Neural Syst Rehabil Eng 14: pp. 378-389
57. Beer, RF, Naujokas, C, Bachrach, B, Mayhew, D (2008) Development and evaluation of a gravity compensated training environment for robotic rehabilitation of post-stroke reaching. 2008 2nd IEEE RAS & EMBS Int. Conf. on Biomedical Robotics and Biomechatronics (BioRob). IEEE, Scottsdale, AZ, pp. 205-210
58. Iwamuro, BT, Cruz, EG, Connelly, LL, Fischer, HC, Kamper, DG (2008) Effect of a gravity-compensating orthosis on reaching after stroke evaluation of the Therapy Assistant WREX. Arch Phys Med Rehabil 89: pp. 2121-2128
59. Sanguineti, V, Casadio, M, Vergaro, E, Squeri, V, Giannoni, P, Morasso, PG (2009) Robot therapy for stroke survivors: proprioceptive training and regulation of assistance. Stud Health Technol Inform 145: pp. 126-142
60. Chang, J-J, Tung, W-L, Wu, W-L, Huang, M-H, Su, F-C (2007) Effects of robot-aided bilateral force-induced isokinetic arm training combined with conventional rehabilitation on arm motor function in patients with chronic-stroke. Arch Phys Med Rehabil 88: pp. 1332-1338
61. Colombo, R, Pisano, F, Micera, S, Mazzone, A, Delconte, C, Carrozza, M, Dario, P, Minuco, G (2005) Robotic techniques for upper limb evaluation and rehabilitation of stroke patients. IEEE Trans Neural Syst Rehabil Eng 13: pp. 311-324
62. Panarese, A, Colombo, R, Sterpi, I, Pisano, F, Micera, S (2012) Tracking motor improvement at the subtask level during robot-aided neurorehabilitation of stroke patients. Neurorehabil Neural Repair 26: pp. 822-833
63. Vergaro, E, Casadio, M, Squeri, V, Giannoni, P, Morasso, P, Sanguineti, V (2010) Self-adaptive robot training of stroke survivors for continuous tracking movements. J Neuroeng Rehabil 7: pp. 13
64. Dukelow, SP, Herter, TM, Moore, KD, Demers, MJ, Glasgow, JI, Bagg, SD, Norman, KE, Scott, SH (2010) Quantitative assessment of limb position sense following stroke. Neurorehabil Neural Repair 24: pp. 178-187
65. Squeri, V, Casadio, M, Vergaro, E, Giannoni, P, Morasso, P, Sanguineti, V (2009) Bilateral robot therapy based on haptics and reinforcement learning Feasibility study of a new concept for treatment of patients after stroke. J Rehabil Med 41: pp. 961-965
66. Toth, A, Fazekas, G, Arz, G (2005) Passive robotic movement therapy of the spastic hemiparetic arm with REHAROB: report of the first clinical test and the follow-up system improvement. 2005 IEEE 9th International Conference on Rehabilitation Robotics. Chicago, IL, pp. 127-130
67. Nef, T, Quinter, G, M眉ller, R, Riener, R (2009) Effects of arm training with the robotic device ARMin I in chronic stroke: three single cases. Neuro-degenerative Diseases 6: pp. 240-251
68. Fazekas, G, Horvath, M, Troznai, T, Toth, A (2007) Robot-mediated upper limb physiotherapy for patients with spastic hemiparesis: a preliminary study. J Rehabil Med 39: pp. 580-582
69. Mihelj, M, Nef, T, Riener, R (2007) Armin II-7 DoF rehabilitation robot: mechanics and kinematics. Proc 2007 IEEE Int. Conf. Robotics and, Automation. IEEE, Rome, pp. 4120-4125
70. Vitiello, N, Lenzi, T, Roccella, S, De Rossi, SMM, Cattin, E, Giovacchini, F, Vecchi, F, Carrozza, MC (2013) NEUROExos: A powered elbow exoskeleton for physical rehabilitation. IEEE Trans Robot 29: pp. 220-235
71. Nguyen, HB, Lum, PS (2013) Compensation for the intrinsic dynamics of the Inmotion2 robot. J Neurosci Methods 214: pp. 15-20
72. Lum, PS, Burgar, CG, Kenney, DE, Van der Loos, HFM (1999) Quantification of force abnormalities during passive and active-assisted upper-limb reaching movements in post-stroke hemiparesis. IEEE Trans Biomed Eng 46: pp. 652-662
73. Jakobson, LS, Goodale, MA (1991) Factors affecting higher-order movement planning: a kinematic analysis of human prehension. Exp Brain Res 86: pp. 199-208
74. Smith, MA, Brandt, J, Shadmehr, R (2000) Motor disorder in Huntington鈥檚 disease begins as a dysfunction in error feedback control. Nature 403: pp. 544-549
75. Smith, M, Shadmehr, R (2005) Intact ability to learn internal models of arm dynamics in Huntington鈥檚 disease but not cerebellar degeneration. J Neurophysiol 93: pp. 2809-2821
76. Ferraro, M, Demaio, JH, Krol, J, Trudell, C, Rannekleiv, K, Edelstein, L, Christos, P, Aisen, M, England, J, Fasoli, S, Krebs, H, Hogan, N, Volpe, BT (2002) Assessing the motor status score: a scale for the evaluation of upper limb motor outcomes in patients after stroke. Neurorehabil Neural Repair 16: pp. 283-289
77. Cirstea, MC, Levin, MF (2000) Compensatory strategies for reaching in stroke. Brain J Neurol 123: pp. 940-953
78. Abdullah, HA, Tarry, C, Lambert, C, Barreca, S, Allen, BO (2011) Results of clinicians using a therapeutic robotic system in an inpatient stroke rehabilitation unit. J Neuroeng Rehabil 8: pp. 50
79. Hu, XL, Tong, KY, Song, R, Zheng, XJ, Lui, KH, Leung, WWF, Ng, S, Au-Yeung, SSY (2009) Quantitative evaluation of motor functional recovery process in chronic stroke patients during robot-assisted wrist training. J Electromyograph Kinesiol 19: pp. 639-650
80. Georgopoulos, A (1986) On reaching. Annu Rev Neurosci 9: pp. 147-170
81. Robertson, EM, Miall, RC (1997) Multi-joint limbs permit a flexible response to unpredictable events. Exp Brain Res 117: pp. 148-152
82. Levin, MF, Kleim, JA, Wolf, SL (2008) What do motor 鈥渞ecovery鈥?and 鈥渃ompensation鈥?mean in patients following stroke?. Neurorehabil Neural Repair 23: pp. 313-319
83. Levin, MF, Michaelsen, SM, Cirstea, CM, Roby-Brami, A (2002) Use of the trunk for reaching targets placed within and beyond the reach in adult hemiparesis. Exp Brain Res Experimentelle Hirnforschung Exp茅rimentation c茅r茅brale 143: pp. 171-180
84. Hayashibe, M, Shimoda, S (2013) Emergence of motor synergy in vertical reaching task via tacit learning. Proc 2013 35th Annu. Int. Conf. IEEE EMBC. IEEE, Osaka, pp. 4985-4988
85. Michaelsen, SM, Luta, A, Roby-Brami, A, Levin, MF (2001) Effect of trunk restraint on the recovery of reaching movements in Hemiparetic patients. Stroke 32: pp. 1875-1883
86. Brunnstr枚m, S (1970) Movement therapy in hemiplegia- a neurophysiological approach. Medical Dept., Harper & Row, New York
87. Crocher, V, Sahbani, A, Robertson, J, Roby-Brami, A, Morel, G (2012) Constraining upper limb synergies of hemiparetic patients using a robotic exoskeleton in the perspective of neuro-rehabilitation. IEEE Trans Neural Syst Rehabil Eng 20: pp. 247-257
88. Lum, PS, Burgar, CG, Shor, PC, Majmundar, M, Van der Loos, M (2002) Robot-assisted movement training compared with conventional therapy techniques for the rehabilitation of upper-limb motor function after stroke. Arch Phys Med Rehabil 83: pp. 952-959
89. Lum, PS, Burgar, CG, Loos, MVD, Shor, PC, Majmundar, M, Yap, R (2006) MIME robotic device for upper-limb neurorehabilitation in subacute stroke subjects: a follow-up study. J Rehabil Res Dev 43: pp. 631
90. Ellis, MD, Sukal, T (2008) Augmenting clinical evaluation of hemiparetic arm movement with a laboratory-based quantitative measurement of kinematics as a function of limb loading. Neurorehabil Neural Repair 22: pp. 321-329
91. Simkins, M, Kim, H, Abrams, G, Byl, N, Rosen, J (2013) Robotic unilateral and bilateral upper-limb movement training for stroke survivors afflicted by chronic hemiparesis. IEEE Int Conf Rehabil Robot [proceedings] 2013: pp. 1-6
92. Hogan, N, Sternad, D (2009) Sensitivity of smoothness measures to movement duration, amplitude, and arrests. J Motor Behav 41: pp. 529-534
93. S Balasubramanian, EB, Melendez-Calderon, A, Burdet, E (2012) A robust and sensitive metric for quantifying movement smoothness. IEEE Trans Biomed Eng 59: pp. 2126-2136
94. Woodworth, RS (1901) The Accuracy of voluntary movement. Macmillan, New York
95. Krebs, HI, Hogan, N, Aisen, ML, Volpe, BT (1998) Robot-aided neurorehabilitation. IEEE Trans Rehabil Eng 6: pp. 75-87
96. Balasubramanian, S, Wei, R, Herman, R, He, J (2009) Robot-measured performance metrics in stroke rehabilitation. 2009 ICME International Conference on Complex Medical Engineering. IEEE, Tempe, AZ, pp. 1-6
97. Kitsos, G, Harris, D, Pollack, M, Hubbard, IJ (2011) Assessments in Australian stroke rehabilitation units: a systematic review of the post-stroke validity of the most frequently used. Disabil Rehabil 33: pp. 2620-2632
98. Cameirao, MS, Zimmerli, L, Oller, ED, Verschure, PFMJ (2007) The rehabilitation gaming system: a virtual reality based system for the evaluation and rehabilitation of motor deficits. Proc. Virtual Rehabilitation. IEEE, Venice, pp. 29-33
99. Evett, L, Burton, A, Battersby, S, Brown, D, Sherkat, N, Ford, G, Liu, H, Standen, P (2011) Dual camera motion capture for serious games in stroke rehabilitation. 2011 IEEE 1st Int. Conf. Serious Games and Applications for Health (SeGAH). IEEE, Braga, pp. 1-4
100. Khasawneh, N, Malkawi, A, Al-Jarrah, M, Alsa鈥檇i, R, Al-Momani, S (2013) Therapy central: On the development of computer games for physiotherapy. 2013 9th Int. Conf. Innovations in Information Technology (IIT). IEEE, Al-Ain, pp. 24-29
101. Dobkin, BH, Dorsch, A (2013) New evidence for therapies in stroke rehabilitation. Curr Atherosclerosis Rep 15: pp. 331
102. Namdari, S, Yagnik, G, Ebaugh, DD, Nagda, S, Ramsey, ML, Williams, GR, Mehta, S (2012) Defining functional shoulder range of motion for activities of daily living. J Shoulder Elbow Surg 21: pp. 1177-1183
103. Sanguineti, V, Casadio, M, Masia, L, Squeri, V, Morasso, PG (2013) Robot-assisted neurorehabilitation. Introduction to Neural Engineering for Motor Rehabilitation. John Wiley and Sons Inc, Hoboken, NJ, pp. 505-528
104. Colombo, R, Sterpi, I, Mazzone, A, Delconte, C, Pisano, F (2012) Taking a lesson from patients鈥?recovery strategies to optimize training during robot-aided rehabilitation. IEEE Trans Neural Syst Rehabil Eng 20: pp. 276-285
Reducing abnormal synergies of forearm, elbow, and shoulder joints in stroke patients with neuro-rehabilitation robot treatment and assessment. J Med Biol Eng 32: pp. 139-146
105. Wu, G, van der Helm, FCT, (DirkJan) Veeger, HEJ, Makhsous, M, Van Roy, P, Anglin, C, Nagels, J, Karduna, AR, McQuade, K, Wang, X, Werner, FW, Buchholz, B (2005) ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion Part II: shoulder, elbow, wrist and hand. J Biomech 38: pp. 981-992
106. Cortes C, Ardanza A, Molina-Rueda F, Cuesta-Gomez A, Unzueta L, Epelde G, Ruiz OE, De Mauro A, Florez J: Upper limb posture estimation in robotic and virtual reality-based rehabilitation . / BioMed Res Int 2014.,2014(18): doi:10.1155/2014/821908
107. Hingtgen, B, McGuire, JR, Wang, M, Harris, GF (2006) An upper extremity kinematic model for evaluation of hemiparetic stroke. J Biomech 39: pp. 681-688
108. Hervey, N, Khan, B, Shagman, L, Tian, F, Delgado, MR, Tulchin-Francis, K, Shierk, A, Smith, L, Reid, D, Clegg, NJ, Liu, H, MacFarlane, D, Alexandrakis, G (2013) Motion tracking and electromyography assist the removal of mirror hand contributions to fNIRS images acquired during a finger tapping task performed by children with cerebral palsy. Proc. SPIE, Photonic Therapeutics and Diagnostics IX. SPIE, San Francisco, CA, pp. 856563鈥?56563-11
109. Bragge, T, Hakkarainen, M (2010) A transportable camera based motion analysis system with application to monitoring of rehabilitation of hand. World Congress on Medical Physics and Biomedical Engineering; Munich. Volume 25/4. Springer Berlin, Heidelberg, pp. 914-917
110. Supuk, T, Bajd, T, Kurillo, G (2011) Assessment of reach-to-grasp trajectories toward stationary objects. Clin Biomech (Bristol, Avon) 26: pp. 811-818
111. Haumont, T, Rahman, T, Sample, W, M King, M, Church, C, Henley, J, Jayakumar, S (2011) Wilmington robotic exoskeleton: a novel device to maintain arm improvement in muscular disease. J Pediat Orthoped 31: pp. 44-49
112. Wood, KC, Lathan, CE, Kaufman, KR (2013) Feasibility of gestural feedback treatment for upper extremity movement in children with cerebral palsy. IEEE Trans Neural Syst Rehabil Eng 21: pp. 300-305
113. Raghavan, P, Santello, M, Gordon, AM, Krakauer, JW (2010) Compensatory motor control after stroke: an alternative joint strategy for object-dependent shaping of hand posture. J Neurophysiol 103: pp. 3034-3043
114. Godfrey, A, Conway, R, Meagher, D, OLaighin, G (2008) Direct measurement of human movement by accelerometry. Med Eng & Phys 30: pp. 1364-1386
115. Otto, C (2007) Magnetic motion tracking system. Master thesis. The University of Manitoba.
116. Totilo S: Natal Recognizes 31 Body Parts, Uses Tenth of XBox 360 . [31-body-parts-uses-tenth-of-xbox-360-computing-resources" class="a-plus-plus">http://kotaku.com/5442775/natal-recognizes-31-body-parts-uses-tenth-of-xbox-360-computing-resources]
117. Han, D, Kuschner, D, Wang, Y (2005) Upper limb position sensing: a machine vision approach. 2nd Int. IEEE EMBS Conf. Neural Engineering. IEEE, Arlington, VA, pp. 490-493
118. Allin, S, Baker, N, Eckel, E, Ramanan, D (2010) Robust tracking of the upper limb for functional stroke assessment. IEEE Trans Neural Syst Rehabil Eng 18: pp. 542-550
119. Zariffa, J, Steeves, JD (2011) Computer vision-based classification of hand grip variations in neurorehabilitation. IEEE Int Conf Rehabil Robotics, Zurich 2011: pp. 5975421
120. Metcalf, C, Robinson, R, Malpass, A, Bogle, T, Dell, T, Harris, C, Demain, S (2013) Markerless motion capture and measurement of hand kinematics: validation and application to home-based upper limb rehabilitation. IEEE Trans Bio-med Eng 60: pp. 2184-2192
121. Fern, A, Salle, L, Ramon, U, Sus, A, Lligadas, X, Fern鈥檔dez-Baena, A, Susin, A (2012) Biomechanical Validation of Upper-Body and Lower-Body Joint Movements of Kinect Motion Capture Data for Rehabilitation Treatments. 2012 Fourth Int. Conf. on Intelligent Networking and Collaborative Systems. IEEE, Bucharest, pp. 656-661
122. Kitsunezaki, N, Adachi, E, Masuda, T, Mizusawa, J-I (2013) KINECT applications for the physical rehabilitation. 2013 IEEE Int. Symp. on Medical Measurements and Applications (MeMeA). IEEE, Quebec, pp. 294-299
123. Taati, B, Wang, R, Huq, R, Jasper, S, Mihailidis, A (2012) Vision-based posture assessment to detect and categorize compensation during robotic rehabilitation therapy. 2012 4th IEEE RAS and EMBS Int. Conf. on Biomedical Robotics and Biomechatronics (BioRob). IEEE, Rome, pp. 1607-1613
124. Chen, L, Wei, H, Ferryman, J (2013) A survey of human motion analysis using depth imagery. Pattern Recognit Lett 34: pp. 1995-2006
125. Wang, W-W, Fu, L-C (2011) Mirror therapy with an exoskeleton upper-limb robot based on IMU measurement system. 2011 IEEE International Symposium on Medical Measurements and Applications. IEEE, Bari, pp. 370-375
126. Metrot, J, Mottet, D, Hauret, I, van Dokkum, L, Bonnin-Koang, H-Y, Torre, K, Laffont, I (2013) Changes in bimanual coordination during the first 6 weeks after moderate hemiparetic stroke. J Neurorehabil Neural Repair 27: pp. 251-259
127. Desrosiers, J, Bourbonnais, D, Bravo, G, Roy, PM, Guay, M (1996) Performance of the 鈥檜naffected鈥?upper extremity of elderly stroke patients. Stroke; J Cerebral Circ 27: pp. 1564-1570
128. R Sainburg, CG, Poizner, H (1993) Loss of proprioception produces deficits in interjoint coordination. J Neurophysiol 70: pp. 2316-47
129. Liu, W, McCombe Waller, S, Kepple, TM, Whitall, J (2013) Compensatory arm reaching strategies after stroke: induced position analysis. J Rehabil Res Dev 50: pp. 71-84
130. Bobath, B (1978) Adult hemiplegia: evaluation and treatment. Heinemann Medical Books, London - 刊物主题：Neurosciences; Neurology; Rehabilitation Medicine; Biomedical Engineering;
- 出版者：BioMed Central
- ISSN：1743-0003
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