Identification of electrically stimulated muscle models of stroke patients

Control Engineering Practice

Volumn 18, Issue 4, 2010, Pages 396-407

  Le, Fengmin ^a   Markovsky, Ivan ^a   Freeman, Christopher T ^a   Rogers, Eric ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Alternating least squares; Functional electrical stimulation; Hammerstein system; Muscle models; System identification

Indexed keywords

ALTERNATING LEAST SQUARES; FUNCTIONAL ELECTRICAL STIMULATION; HAMMERSTEIN SYSTEM; MUSCLE MODELS; SYSTEM IDENTIFICATIONS;

FUNCTIONAL ELECTRIC STIMULATION; KNOWLEDGE BASED SYSTEMS;

MUSCLE;

EID: 77649337864     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conengprac.2009.12.007     Document Type: Article

References (65)

1. Bai E.W. An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems. Automatica 34 3 (1998) 333-338
2. Bai E.W. A blind approach to the Hammerstein-Wiener model identification. Automatica 38 6 (2002) 967-979
3. Bai E.W., Cai Z., Dudley-Javorosk S., and Shields R.K. Identification of a modified Wiener-Hammerstein system and its application in electrically stimulated paralyzed skeletal muscle modeling. Automatica 45 3 (2009) 736-743
4. Baker, L. L., Wederich, C. L., McNeal, D. R., Newsam, C. J., & Waters, R. L. (2000). Neuromuscular electrical stimulation: A Practical Guide (4th ed.), Los Amigos Research Education Institution Inc.
5. Baratta R., and Solomonow M. The dynamic response model of nine different skeletal muscles. IEEE Transactions on Biomedical Engineering 37 3 (1990) 243-251
6. Bernotas L., Crago P.E., and Chizeck H.J. A discrete-time model of electrically stimulated muscle. IEEE Transactions on Biomedical Engineering 33 9 (1986) 829-838
7. Bobet J., Gossen E.R., and Stein R.B. A comparison of models of force production during stimulated isometric ankle dorsiflexion in humans. IEEE Transactions on Neural Systems and Rehabilitation Engineering 13 4 (2005) 444-451
8. Bobet J., and Stein R.B. A simple model of force generation by skeletal muscle during dynamic isometric contractions. IEEE Transactions on Biomedical Engineering 45 8 (1998) 1010-1016
9. Boutayeb, M., Aubry, D., & Darouach, M. (1996). A robust and recursive identification method for MISO Hammerstein model. In UKACC international conference on CONTROL'96 (pp. 234-239).
10. Braz, G. P., Smith, R. M., & Davis, G. M. (2006). Designing an FES control algorithm: Important considerations. In World Congress on medical physics and biomedical engineering 2006 (pp. 2848-2851), Seoul, Korea.
11. Broeks J.G., Lankhorst G.J., Rumping K., and Prevo A.J. The long-term outcome of arm function after stroke: Results of a follow-up study. Disability and Rehabilitation 21 (1999) 357-364
12. Burridge J.H., and Ladouceur M. Clinical and therapeutic applications of neuromuscular stimulation: A review of current use and speculation into future developments. Neuromodulation 4 4 (2001) 147-154
13. Carroll S.G., Triolo R.J., Chizeck H.J., Kobetic R., and Marsolais E.B. Tetanic responses of electrically stimulated paralyzed muscle at varying interpulse intervals. IEEE Transactions on Biomedical Engineering 36 7 (1989) 644-653
14. Chang F.H.I., and Luus R. A non-iterative method for identification using Hammerstein model. IEEE Transactions on Automatic Control 16 5 (1971) 464-468
15. Chizeck H.J., Chang S., and Stein R.B. Identification of electrically stimulated quadriceps muscles in paraplegic subjects. IEEE Transactions on Biomedical Engineering 46 1 (1999) 51-61
16. Chizeck H.J., Crago P.E., and Kofman L.S. Robust closed-loop control of isometric muscle force using pulsewidth modulation. IEEE Transactions on Biomedical Engineering 35 7 (1988) 510-517
17. Chizeck H.J., Lan N., Palmieri L.S., and Crago P.E. Feedback control of electrically stimulated muscle using simultaneous pulse width and stimulus period modulation. IEEE Transactions on Biomedical Engineering 38 12 (1991) 1224-1234
18. Crago P.E., Nakai R.J., and Chizeck H.J. Feedback regulation of hand grasp opening and contact force during stimulation of paralysed muscle. IEEE Transactions on Biomedical Engineering 38 1 (1991) 17-28
19. Crago P.E., Peckham P.H., and Thrope G.B. Modulation of muscle force by recruitment during intramuscular stimulation. IEEE Transactions on Biomedical Engineering 27 12 (1980) 679-684
20. Davoodi R., and Andrews B.J. Computer simulation of FES standing up in paraplegia: A self-adaptive fuzzy controller with reinforcement learning. IEEE Transactions on Rehabilitation Engineering 6 2 (1998) 151-161
21. de Kroon J.R., and Ijzerman M.J. Electrical stimulation of the upper extremity in stroke: Cyclic versus EMG-triggered stimulation. Clinical Rehabilitation 22 (2008) 690-697
22. de Kroon J.R., Ijzerman M.J., Chae J., Lankhorst G.J., and Zilvold G. Relation between stimulation characteristics and clinical outcome in studies using electrical stimulation to improve motor control of the upper extremity in stroke. Journal of Rehabilitation Medicine 37 (2005) 65-74
23. de Kroon J.R., van der Lee J.H., Ijzerman M.J., and Lankhorst G.J. Therapeutic electrical stimulation to improve motor control and functional abilities of the upper extremity after stroke: A systematic review. Clinical Rehabilitation 16 (2002) 350-360
24. Dempsey E.J., and Westwick D.T. Identification of Hammerstein models with cubic spline nonlinearities. IEEE Transactions on Biomedical Engineering 51 2 (2004) 237-245
25. Ding J., Wexler A.S., and Binder-MacLeod S.A. A mathematical model that predicts the force-frequency relationship of human skeletal muscle. Muscle and Nerve 26 4 (2002) 477-485
26. Durfee W.K., and MacLean K.E. Methods for estimating isometric recruitment curves of electrically stimulated muscle. IEEE Transactions on Biomedical Engineering 36 7 (1989) 654-667
27. Durfee W.K., and Palmer K.I. Estimation of force-activation, force-length, and force-velocity properties in isolated, electrically stimulated muscle. IEEE Transactions on Biomedical Engineering 41 3 (1994) 205-216
28. Ferrarin M., Palazzo F., Riener R., and Quintern J. Model-based control of FES-induced single joint movements. IEEE Transactions on Neural Systems and Rehabilitation Engineering 9 3 (2001) 245-257
29. Freeman C.T., Hughes A.-M., Burridge J.H., Chappell P.H., Lewin P.L., and Rogers E. Iterative learning control of FES applied to the upper extremity for rehabilitation. Control Engineering Practice 17 3 (2009) 368-381
30. Freeman C.T., Hughes A.-M., Burridge J.H., Chappell P.H., Lewin P.L., and Rogers E. A model of the upper extremity using surface FES for stroke rehabilitation. ASME Journal of Biomechanical Engineering 131 1 (2009) 031011-1-031011-12
31. Freeman C.T., Hughes A.-M., Burridge J.H., Chappell P.H., Lewin P.L., and Rogers E. A robotic workstation for stroke rehabilitation of the upper extremity using FES. Medical Engineering and Physics 31 3 (2009) 364-373
32. Graham G.M., Thrasher T.A., and Popovic M.R. The effect of random modulation of functional electrical stimulation parameters on muscle fatigue. IEEE Transactions on Neural Systems and Rehabilitation Engineering 14 1 (2006) 38-45
33. Graupe, D., & Kordylewski, H. (1997). Neural network control of neuromuscular stimulation in paraplegics for independent ambulation. In Proceedings of the 19th annual international conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL (pp. 1088-1091).
34. Happee R., and der Helm F.C.T.V. The control of shoulder muscles during goal directed movements an inverse dynamic analysis. Journal of Biomechanics 28 10 (1995) 1179-1191
35. Hatwell M.S., Oderkerk B.J., Sacher C.A., and Inbar G.F. Patient-driven control of FES-supported standing up: A simulation study. IEEE Transactions on Rehabilitation Engineering 36 6 (1991) 683-691
36. Hill A.V. Then heat of shortening and the dynamic constants of a muscle. Proceedings of the Royal Society 126 (1938) 136-195
37. Hughes A.-M., Freeman C.T., Burridge J.H., Chappell P.H., Lewin P., and Rogers E. Feasibility of iterative learning control mediated by functional electrical stimulation for reaching after stroke. Journal of Neurorehabilitation and Neural Repair 23 6 (2009) 559-568
38. ∞ design. Control Engineering Practice 9 (2001) 313-328
39. Hunt K.J., Munih M., and Donaldson N. Feedback control of unsupported standing in paraplegia-part I: Optimal control approach. IEEE Transactions on Rehabilitation Engineering 5 4 (1997) 331-340
40. Hunt K.J., Munih M., Donaldson N., and Barr F.M.D. Investigation of the Hammerstein hypothesis in the modeling of electrically stimulated muscle. IEEE Transactions on Biomedical Engineering 45 8 (1998) 998-1009
41. Jezernik S., Wassink R.G.V., and Keller T. Sliding mode closed-loop control of FES: Controlling the shank movement. IEEE Transactions on Biomedical Engineering 51 2 (2004) 263-272
42. Jezernik S., Wassink R.G.V., and Keller T. Sliding mode closed-loop control of FES: Controlling the shank movement. IEEE Transactions on Biomedical Engineering 51 2 (2004) 263-272
43. Lan N. Stability analysis for postural control in a two-joint limb system. IEEE Transactions on Neural systems and Rehabilitation Engineering 10 4 (2002) 249-259
44. Lan N., Feng H.Q., and Crago P.E. Neural network generation of muscle stimulation patterns for control of arm movements. IEEE Transactions on Rehabilitation Engineering 2 4 (1994) 213-224
45. Law L.A.F., and Shields R.K. Mathematical models of human paralyzed muscle after long-term training. Journal of Biomechanics 40 (2007) 2587-2595
46. Le, F., Markovsky, I., Freeman, C. T., & Rogers, E. (2009). Identification of electrically stimulated muscle after stroke. In European control conference 2009, Budapest, Hungary, (pp. 1576-1581).
47. Marquardt D. An algorithm for least-squares estimation of nonlinear parameters. SIAM on Journal Applied Mathematics 11 (1963) 431-441
48. Munih M., Hunt K.J., and Donaldson N.N. Variation of recruitment nonlinearity and dynamic response of ankle plantarflexoes. Medical Engineering and Physics 22 2 (2000) 97-107
49. Narendra K.S., and Gallman P.G. An iterative method for the identification of nonlinear systems using a Hammerstein model. IEEE Transactions on Automatic Control 11 3 (1966) 546-550
50. National Audit Office (2005). Reducing brain damage: Faster access to better stroke care. HC 452 2005-2006. URL: 〈http://www.nao.org.uk〉.
51. Parker V.M., Wade D.T., and Langton-Hewer R. Loss of arm function after stroke: Measurement, frequency and recovery. International Rehabilitation Medicine 8 2 (1986) 69-73
52. Popovic D., and Popovic M. Tuning of a nonanalytical hierarchical control system for reaching with FES. IEEE Transactions on Biomedical Engineering 45 2 (1998) 203-212
53. Previdi F., and Carpanzano E. Design of a gain scheduling controller for knee-joint angle control by using functional electrical stimulation. IEEE Transactions on Control Systems Technology 11 3 (2003) 310-324
54. Previdi F., Schauer T., Savaresi S.M., and Hunt K.J. Data-driven control design for neuroprotheses: A virtual reference feedback tuning (VRFT) approach. IEEE Transactions on Control Systems Technology 12 1 (2004) 176-182
55. Riener R., and Fuhr T. Patient-driven control of FES-supported standing up: A simulation study. IEEE Transactions on Rehabilitation Engineering 6 2 (1998) 113-124
56. Riener R., and Quintern J. A physiologically based model of muscle activation verified by electrical stimulation. Bioelectrochemistry and Bioenergetics 43 (1997) 257-264
57. Rushton D.N. Functional electrical stimulation and rehabilitation-An hypothesis. Medical Engineering and Physics 25 1 (2003) 75-78
58. Schauer T., Negard N.O., Previdi F., Hunt K.J., Fraser M.H., Ferchland E., et al. Online identification and nonlinear control of the electrically stimulated quadriceps muscle. Control Engineering Practice 13 (2005) 1207-1219
59. Stoica P. On the convergence of an iterative algorithm used for Hammerstein system identification. IEEE Transactions on Automatic Control 26 4 (1981) 967-969
60. Thorsen R., Spadone R., and Ferrarin M. A pilot study of myoelectrically controlled FES of upper extremity. IEEE Transactions on Neural Systems and Rehabilitation Engineering 9 2 (2001) 161-168
61. Tresadern, P., Thies, S., Kenney, L., Howard, D., & Goulermas, J. Y. (2006). Artificial neural network prediction using accelerometers to control upper limb FES during reaching and grasping following stroke. In Proceedings of the 28th annual international conference of the IEEE Engineering in Medicine and Biology Society (pp. 2916-2919), New York, USA.
62. Veltink P.H., Chizeck H.J., Crago P.E., and El-Bialy A. Nonlinear joint angle control for artificially stimulated muscle. IEEE Transactions on Biomedical Engineering 39 4 (1992) 368-380
63. Watanabe T., Iibuchi K., Kurosawa K., and Hoshimiya N. A method of multichannel PID control of two-degree-of-freedom wrist joint movements by functional electrical stimulation. Systems and Computers in Japan 34 5 (2003) 319-328
64. Westwick D.T., and Kearney R.E. Separable least squares identification of nonlinear Hammerstein models: Application to stretch reflex dynamics. Annals of Biomedical Engineering 29 8 (2001) 707-718
65. Zhu Y. Identification of Hammerstein models for control using ASYM. International Journal of Control 73 18 (2000) 1692-1702