Design and preliminary evaluation of the FINGER rehabilitation robot: Controlling challenge and quantifying finger individuation during musical computer game play

Journal of NeuroEngineering and Rehabilitation

Volumn 11, Issue 1, 2014, Pages

  Taheri, Hossein ^a   Rowe, Justin B ^b   Gardner, David ^a   Chan, Vicki ^c   Gray, Kyle ^a   Bower, Curtis ^a   Reinkensmeyer, David J ^b,d   Wolbrecht, Eric T ^a  

^a University of Idaho   (United States)

^b University of California at Irvine   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Color based motion capture; Finger individuation; Mechanism synthesis; Motor control; Robotic rehabilitation; Stroke

Indexed keywords

ADULT; ALGORITHM; ARTICLE; CEREBROVASCULAR ACCIDENT; CONTROLLED STUDY; EQUIPMENT DESIGN; EVALUATION STUDY; FEMALE; FINGER; FINGER INDIVIDUATING GRASP EXERCISE ROBOT; FRICTION; GAME; HUMAN; HUMAN EXPERIMENT; INDEX FINGER; MALE; RANGE OF MOTION; REHABILITATION EQUIPMENT; ROBOTICS; STROKE PATIENT; VELOCITY; EQUIPMENT; METHODOLOGY; MIDDLE AGED; PHYSIOLOGY; PHYSIOTHERAPY; PILOT STUDY; RECREATION;

ALGORITHMS; FEMALE; FINGERS; HUMANS; MALE; MIDDLE AGED; PHYSICAL THERAPY MODALITIES; PILOT PROJECTS; ROBOTICS; STROKE; VIDEO GAMES;

EID: 84893200690     PISSN: None     EISSN: 17430003     Source Type: Journal    
DOI: 10.1186/1743-0003-11-10     Document Type: Article

References (38)

1. Heart disease and stroke statistics-2011 update1. Roger VL, Go AS, Lloyd-Jones DM, Adams RJ, Berry JD, Brown TM, Carnethon MR, Dai S, de Simone G, Ford ES, Circulation 2011 123 18 e209 10.1161/CIR.0b013e3182009701 21160056
2. The long-term outcome of arm function after stroke: results of a follow-up study. Broeks J, Lankhorst G, Rumping K, Prevo A, Disabil Rehabil 1999 21 357 364 10.1080/096382899297459 10503976 (Pubitemid 29410890)
3. Effects of robot-assisted therapy on upper limb recovery after stroke: a systematic review. Kwakkel G, Kollen BJ, Krebs HI, Neurorehabil Neural Repair 2008 22 111 17876068
4. Systematic review of the effect of robot-aided therapy on recovery of the hemiparetic arm after stroke. Prange GB, Jannink MJA, Groothuis CGM, Hermens HJ, IJzerman MJ, J Rehabil Res Develop 2006 43 171 184 10.1682/JRRD.2005.04.0076 (Pubitemid 44099165)
5. Robot-assisted movement training compared with conventional therapy techniques for the rehabilitation of upper-limb motor function after stroke. Lum PS, Burgar CG, Shor PC, Majmundar M, Van der Loos M, Arch Phys Med Rehabil 2002 83 952 959 10.1053/apmr.2001.33101 12098155 (Pubitemid 34747579)
6. Exercise therapy for arm function in stroke patients: a systematic review of randomized controlled trials. van der Lee JH, Snels IAK, Beckerman H, Lankhorst GJ, Wagenaar RC, Bouter LM, Clin Rehabil 2001 15 20 10.1191/026921501677557755 11237158 (Pubitemid 32140657)
7. Evidence-based arm rehabilitation-a systematic review of the literature. Platz T, Nervenarzt 2003 74 841-+ 14551687
8. Integrated technology for evaluation of brain function and neural plasticity. Rossini PM, Dal Forno G, Phys Med Rehabil Clin N Am 2004 15 263 306 10.1016/S1047-9651(03)00124-4 15029909 (Pubitemid 38210043)
9. Optimizing compliant, model-based robotic assistance to promote neurorehabilitation. Wolbrecht ET, Chan V, Reinkensmeyer DJ, Bobrow JE, Neural Syst Rehab Eng, IEEE Trans 2008 16 286 297 (Pubitemid 351832426)
10. Metabolic costs and muscle activity patterns during robotic-and therapist-assisted treadmill walking in individuals with incomplete spinal cord injury. Israel JF, Campbell DD, Kahn JH, Hornby TG, Phys Ther 2006 86 1466 10.2522/ptj.20050266 17079746 (Pubitemid 44672536)
11. Motor learning elicited by voluntary drive. Lotze M, Braun C, Birbaumer N, Anders S, Cohen LG, Brain 2003 126 866 872 10.1093/brain/awg079 12615644 (Pubitemid 36372985)
12. Role of voluntary drive in encoding an elementary motor memory. Kaelin-Lang A, Sawaki L, Cohen LG, 2005 93 1099 1103
13. Review of control strategies for robotic movement training after neurologic injury. Marchal-Crespo L, Reinkensmeyer DJ, J Neuroeng Rehab 2009 6 20 10.1186/1743-0003-6-20
14. Implications of assist-as-needed robotic step training after a complete spinal cord injury on intrinsic strategies of motor learning. Cai LL, Fong AJ, Otoshi CK, Liang Y, Burdick JW, Roy RR, Edgerton VR, J Neuroscience 2006 26 10564 10568 10.1523/JNEUROSCI.2266-06.2006 (Pubitemid 44564608)
15. Robotic techniques for upper limb evaluation and rehabilitation of stroke patients. Colombo R, Pisano F, Micera S, Mazzone A, Delconte C, Carrozza MC, Dario P, Minuco G, Neural Syst Rehabil Eng, IEEE Trans [see also IEEE Trans Rehabil Eng] 2005 13 311 324 10.1109/TNSRE.2005.848352 (Pubitemid 41416012)
16. Rehabilitation robotics: performance-based progressive robot-assisted therapy. Krebs HI, Palazzolo JJ, Dipietro L, Ferraro M, Krol J, Rannekleiv K, Volpe BT, Hogan N, Auton Robot 2003 15 7 20 10.1023/A:1024494031121
17. Patient-cooperative strategies for robot-aided treadmill training: first experimental results. Riener R, Lunenburger L, Jezernik S, Anderschitz M, Colombo G, Dietz V, Neural Syst Rehabil Eng, IEEE Trans [see also IEEE Trans Rehabil Eng] 2005 13 380 394 10.1109/TNSRE.2005.848628 (Pubitemid 41416018)
18. Adaptive assistance for guided force training in chronic stroke. Kahn LE, Rymer WZ, Reinkensmeyer DJ, Engineering in Medicine and Biology Society, 2004 EMBC 2004 Conference Proceedings 26th Annual International Conference 2004 1 2722 2725 (Pubitemid 40035602)
19. The impact of stroke on the performance of grasping: usefulness of kinetic and kinematic motion analysis. Nowak D, Neurosci Biobehav Rev 2008 32 1439 1450 10.1016/j.neubiorev.2008.05.021 18582943
20. Robot-assisted rehabilitation of hand function. Balasubramanian S, Klein J, Burdet E, Curr Opin Neurol 2010 23 661 670 10.1097/WCO.0b013e32833e99a4 20852421
21. Computing and controlling compliance of a robotic hand. Cutkosky MR, Kao I, Robotic Autom, IEEE Trans 1989 5 151 165 10.1109/70.88036
22. Robot-assisted guitar hero for finger rehabilitation after stroke. Taheri H, Rowe JB, Gardner D, Chan V, Reinkensmeyer DJ, Wolbrecht ET, Engineering in medicine and biology society (EMBC), 2012 annual international conference of the IEEE; aug. 28 2012-sept. 1 2012 2012 3911 3917
23. Single degree-of-freedom exoskeleton mechanism design for finger rehabilitation. Wolbrecht ET, Reinkensmeyer DJ, Perez-Gracia A, IEEE Int Conf Rehabil Robot: [proceedings] 2011 2011 5975427
24. Tracking non-rigid, moving objects based on color cluster flow. Heisele B, Kressel U, Ritter W, Computer vision and pattern recognition, 1997 proceedings, 1997 IEEE computer society conference on; 17-19 jun 1997 1997 257 260
25. Book NAS, Volume II: a handbook of anthropometric data NASA Reference: Publication 1978 1024
26. Statistical Analysis of Anthropometric and Physiologic Performance of the Hand. Serban I, Baritz M, Rosca IC, Cotoros LD, International Conference on Advancements of Medicine and Health Care through Technology Berlin Heidelberg: Springer, Vlad, Simona, Ciupa, RaduV, IFMBE Proceedings Volume 36. 2011 380 383 Chapter: 80
27. Dreyfuss H, Tilley A, Measure of man and woman: human factors in design New York City, NY: Watson-Guptill Publications 1993
28. Sandor GN, Erdman AG, Advanced mechanism design: analysis and synthesis: vol. 2 Englewood Cliffs: NJ, Prentice-Hall 1984
29. The synthesis of six-bar linkages as constrained planar 3R chains. Soh GS, McCarthy JM, Mech Mach Theory 2008 43 160 170 10.1016/j.mechmachtheory.2007. 02.004 (Pubitemid 350298573)
30. Pneumatic control of robots for rehabilitation. Wolbrecht ET, Reinkensmeyer DJ, Bobrow JE, Int J Robot Res 2010 29 23 38 10.1177/ 0278364909103787
31. The post-stroke hemiplegic patient. Fugl-Meyer AR, Jaasco L, Leyman L, Olsson S, Steglind S, Scand Journal Rehab Med 1975 7 13 31
32. Adult norms for the box and block test of manual dexterity. Mathiowetz V, Volland G, Kashman N, Weber K, Am J Occup Ther 1985 39 386 391 10.5014/ajot.39.6.386 3160243
33. Taheri H, Rowe JB, Gardner D, Chan V, Reinkensmeyer DJ, Wolbrecht ET, Robot-assisted guitar hero for finger rehabilitation after stroke San Diego, CA: Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE 2012
34. Spencer SJ, Movement training and post-stroke rehabilitation using a six degree of freedom upper-extremity robotic orthosis and virtual environment Irvine: University of California 2012
35. Challenge point: a framework for conceptualizing the effects of various practice conditions in motor learning. Guadagnoli MA, Lee TD, J Motor Behav 2004 36 212 224 10.3200/JMBR.36.2.212-224 (Pubitemid 38580119)
36. Differential impairment of individuated finger movements in humans after damage to the motor cortex or the corticospinal tract. Lang CE, Schieber MH, J Neurophysiol 2003 90 1160 1170 10.1152/jn.00130.2003 12660350 (Pubitemid 37092595)
37. Reduced muscle selectivity during individuated finger movements in humans after damage to the motor cortex or corticospinal tract. Lang CE, Schieber MH, J Neurophysiol 2004 91 1722 1733 10.1152/jn.00805.2003 14668295 (Pubitemid 38339343)
38. Relationship between clinical assessments of function and measurements from an upper-limb robotic rehabilitation device in cervical spinal cord injury. Zariffa J, Kapadia N, Kramer J, Taylor P, Alizadeh-Meghrazi M, Zivanovic V, Albisser U, Willms R, Townson A, Curt A, Neural Syst Rehabil Eng, IEEE Trans 2011 341 350