Accelerometers and force sensing resistors for optimal control of walking of a hemiplegic

IEEE Transactions on Biomedical Engineering

Volumn 55, Issue 8, 2008, Pages 1973-1984

  Došen, Strahinja ^a   Popović, Dejan B ^a,b  

^a AALBORG UNIVERSITY   (Denmark)

^b University of Belgrade   (Serbia)

Author keywords

Artificial neural networks (ANNs); Functional electrical stimulation (FES); Gait; Machine learning; Optimal control; Sensory system

Indexed keywords

ACCELEROMETERS; ARTIFICIAL INTELLIGENCE; ERROR ANALYSIS; ERRORS; ESTIMATION; INTERSECTIONS; KNOWLEDGE BASED SYSTEMS; MUSCLE; NEURAL NETWORKS; RESISTORS; TARGET TRACKING; TARGETS;

ARTIFICIAL NEURAL NETWORK (ANNS); CENTER OF PRESSURE (COP); DUAL AXIS; FORCE SENSING RESISTORS; FUNCTIONAL ELECTRICAL STIMULATION (FES); GAIT PATTERNS; GROUND REACTION FORCE (GRF); HEALTHY SUBJECTS; JOINT ANGLES; KNOWLEDGE BASE (KB); MUSCLE ACTIVATION; OPTIMAL CONTROL; OPTIMAL CONTROLLERS; PEAK VALUES; ROOT-MEAN-SQUARE-ERRORS (RMSE); TARGET SIGNALS; TRACKING ERRORS; TWO STAGES;

WALKING AIDS;

ACCELEROMETER; ANALYTICAL EQUIPMENT; ARTICLE; ARTIFICIAL NEURAL NETWORK; ELECTROSTIMULATION; FEMALE; FORCE SENSING RESISTOR; GAIT; GROUND REACTION FORCE; HEMIPLEGIA; HIP; HUMAN; HUMAN EXPERIMENT; JOINT; MALE; MUSCLE CONTRACTION; NORMAL HUMAN; SIMULATION; WALKING;

ACCELERATION; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; ELECTRIC IMPEDANCE; FEEDBACK; GAIT DISORDERS, NEUROLOGIC; HEMIPLEGIA; HUMANS; MANOMETRY; MODELS, BIOLOGICAL; THERAPY, COMPUTER-ASSISTED; TRANSDUCERS;

EID: 47649115238     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2008.919715     Document Type: Article

References (44)

1. G. M. Lyons, T. Sinkjaer, J. H. Burridge, and D. J. Wilcox, "A review of portable FES-based neural orthoses for the correction of drop foot," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 10, no. 4, pp. 260-279, Dec. 2002.
2. T. Bajd, A. Kralj, M. Stefancic, and N. Lavrac, "Use of functional electrical stimulation in the lower extremities of incomplete spinal cord injured patients," Artif. Organs, vol. 23, no. 5, pp. 403-409, 1999.
3. R. Kobetic and E. B. Marsolais, "Synthesis of paraplegic gait with multichannel functional neuromuscular stimulation," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 2, no. 2, pp. 66-79, Jun. 1994.
4. R. Kobetic, R. J. Triolo, and E. B. Marsolais, "Muscle selection and walking performance of multichannel FES systems for ambulation in paraplegia," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 5, no. 1, pp. 23-29, Mar. 1997.
5. J. J. Abbas and R. Riener, "Using mathematical models and advanced control systems techniques to enhance neuroprosthesis function," Neuromodulation, vol. 4, no. 4, pp. 187-194, 2001.
6. H. J. Chizeck, N. Lan, L. S. Palmieri, and P. E. Crago, "Feedback control of electrically stimulated muscle using simultaneous pulse width and stimulus period modulation," IEEE Trans. Biomed. Eng., vol. 38, no. 12, pp. 1224-1234, Dec. 1991.
7. H. Gollee and K. J. Hunt, "Nonlinear modeling and control of electrically stimulated muscle: A local model network approach," Int. J. Control, vol. 68, no. 6, pp. 1259-1288, 1997.
8. S. Jezernik, R. G. V. Wassink, and T. Keller, "Sliding mode closed-loop control of FES: Controlling the shank movement," IEEE Trans. Biomed. Eng., vol. 51, no. 2, pp. 263-272, Feb. 2004.
9. K. Kurosawa, R. Futami, T. Watanabe, and N. Hoshimiya, "Joint angle control by FES using a feedback error learning controller," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 13, no. 3, pp. 359-371, Sep. 2005.
10. R. Tomović, D. B. Popović, and R. Stein, Nonanalytical Methods for Motor Control. Singapore: World Scientific, 1995.
11. M. L. Latash, Neurophysiological Basis of Movement. Urbana, IL: Human Kinetics, 1998.
12. A. Prochazka, "Comparison of natural and artificial control of movement," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 1, no. 1, pp. 7-17, Mar. 1993.
13. M. B. Popović, "Control of neural prostheses for grasping and reaching," Med. Eng. Phys., vol. 25, no. 1, pp. 41-50, 2003.
14. Z. M. Nikolić and D. B. Popović, "Predicting quadriceps muscle activity during gait with an automatic rule determination method," IEEE Trans. Biomed. Eng., vol. 45, no. 8, pp. 1081-1085, Aug. 1998.
15. B. W. Heller, P. H. Veltink, N. J. M. Rijkhoff, W. L. C. Rutten, and B. J. Andrews, "Reconstructing muscle activation during normal walking - A comparison of symbolic and connectionist machine learning techniques," Biol. Cybern., vol. 69, no. 4, pp. 327-335, 1993.
16. C. A. Kirkwood and B. J. Andrews, "Finite state control of FES systems: Application of AI inductive learning techniques," in Proc. 11th Annu. Conf. EMBS , Seattle, WA, 1989, pp. 1020-1021.
17. A. Kostov, B. J. Andrews, D. B. Popovic, R. B. Stein, and W. W. Armstrong, "Machine learning in control of functional electrical- stimulation systems for locomotion," IEEE Trans. Biomed. Eng., vol. 42, no. 6, pp. 541-551, Jun. 1995.
18. S. Jonić, T. Janković, V. Gajić, and D. B. Popović, "Three machine learning techniques for automatic determination of rules to control locomotion," IEEE Trans. Biomed. Eng., vol. 46, no. 3, pp. 300-310, Mar. 1999.
19. D. B. Popović and T. Sinkjær, Control of Movement for the Physically Disabled. London, U.K.: Springer-Verlag, 2000, ch. 5, pp. 263-272, 358-368.
20. D. A. Winter, Biomechanics and Motor Control of Human Gait, 2nd ed. Waterloo, ON, Canada: Univ. of Waterloo Press, 1991.
21. M. G. Pandy, "Computer modeling and simulation of human movement," Annu. Rev. Biomed. Eng., vol. 3, pp. 245-273, 2001.
22. T. S. Buchanan, D. G. Lloyd, K. Manal, and T. F. Besier, "Neuromusculoskeletal modeling: Estimation of muscle forces and joint moments and movements from measurements of neural command," J. Appl. Biomech., vol. 20, no. 4, pp. 367-395, 2004.
23. Anonymous. (2007, Aug. 17) MEMS and Sensors [Online]. Available: http://www.analog.com/en/at/0,2878,764,00.html
24. M. J. Mathie, A. C. F. Coster, N. H. Lovell, and B. G. Celler, "Accelerometry: Providing an integrated, practical method for long-term, ambulatory monitoring of human movement," Physiol. Meas., vol. 25, no. 2, pp. R1-R20, 2004.
25. D. B. Popović, R. B. Stein, M. N. Oguztoreli, M. Lebiedowska, and S. Jonić, "Optimal control of walking with functional electrical stimulation: A computer simulation study," IEEE Trans. Rehab. Eng., vol. 7, no. 1, pp. 69-79, Mar. 1999.
26. D. B. Popović, M. Radulović, L. Schwirtlich, and N. Jauković, "Automatic vs. hand-controlled walking of paraplegics," Med. Biol. Eng. Comput., vol. 25, no. 1, pp. 63-73, 2003.
27. S. Dosen, D. B. Popović, and C. Azevedo, "Optiwalk: Un nouvel outil pour la conception et la simulation de lois de commande pour le contrôle de la marche de patients atteints de déficits moteurs," J. Europèen des Systs Automatisés, vol. 41, no. 2, pp. 239-259, 2007.
28. Y. K. Thong, M. S. Woolfson, J. A. Crowe, B. R. Hayes-Gill, and D. A. Jones, "Numerical double integration of acceleration measurements in noise," Measurement, vol. 36, no. 1, pp. 73-92, 2004.
29. T. S. Edwards, "Effects of aliasing on numerical integration," Mech. Syst. Signal Process., vol. 21, no. 1, pp. 165-176, 2007.
30. T. M. Willemsen, C. Frigo, and H. B. K. Boom, "Lower extremity angle measurement with accelerometers-error and sensitivity analysis," IEEE Trans. Biomed. Eng., vol. 38, no. 12, pp. 1186-1193, Dec. 1991.
31. H. Dejnabadi, B. M. Jolles, E. Casanova, P. Fua, and K. Aminian, "Estimation and visualization of sagittal kinematics of lower limbs orientation using body-fixed sensors," IEEE Trans. Biomed. Eng., vol. 53, no. 7, pp. 1385-1393, Jul. 2006.
32. D. Roetenberg, P. J. Slycke, and P. H. Veltink, "Ambulatory position and orientation tracking fusing magnetic and inertial sensing," IEEE Trans. Biomed. Eng., vol. 54, no. 5, pp. 883-890, May 2007.
33. H. J. Luinge and P. H. Veltink, "Measuring orientation of human body segments using miniature gyroscopes and accelerometers," Med. Biol. Eng. Comput., vol. 43, no. 2, pp. 273-282, 2005.
34. H. M. Schepers, H. F. J. M. Koopman, and P. H. Veltink, "Ambulatory assessment of ankle and foot dynamics," IEEE Trans. Biomed. Eng., vol. 54, no. 5, pp. 895-902, May 2007.
35. F. Sepulveda, D. M. Wells, and C. L. Vaughan, "A neural network representation of electromyography and joint dynamics in human gait," J. Biomech., vol. 26, no. 2, pp. 101-109, 1993.
36. J. Y. Goulermas, D. Howard, C. J. Nester, R. K. Jones, and L. Ren, "Regression techniques for the prediction of lower limb kinematics," J. Biomech. Eng., vol. 127, no. 6, pp. 1020-1024, Nov. 2005.
37. H. H. C. M. Savelberg and A. L. H. D. Lange, "Assessment of the horizontal, fore-aft component of the ground reaction force from insole pressure patterns by using artificial neural networks," Clin. Biomech., vol. 14, no. 8, pp. 585-592, 1999.
38. C. Angeloni, P. O. Riley, and D. E. Krebs, "Frequency content of whole body gait kinematic data," IEEE Trans. Rehab. Eng., vol. 2, no. 1, pp. 40-46, Mar. 1994.
39. E. K. Antonsson and R. W. Mann, "The frequency content of gait," J. Biomech., vol. 18, no. 1, pp. 39-47, 1985.
40. M. T. Hagan and M. Menhaj, "Training feed-forward networks with the Marquardt algorithm," IEEE Trans. Neural Netw., vol. 5, no. 6, pp. 989-993, Nov. 1994.
41. R. B. Stein, E. P. Zehr, M. K. Lebiedowska, D. B. Popovic, A. Scheiner, and H. J. Chizeck, "Estimating mechanical parameters of leg segments in individuals with and without physical disabilities," IEEE Trans. Rehab. Eng., vol. 4, no. 3, pp. 201-211, Sep. 1996.
42. K. Y. Tong and M. H. Granat, "A practical gait analysis system using gyroscopes," Med. Eng. Phys., vol. 21, no. 2, pp. 87-94, 1999.
43. D. B. Popović and M. B. Popović, "Functional electrical therapy of walking," in From Res. Pract. Proc. XVIth Congr. Int. Soc. Electrophysiol. Kinesiol., ISEK 2006, Torino, Italy, 2006, pp. 170.
44. D. B. Popović, "Functional electrical therapy of walking for neurorehabilitation in hemiplegic individuals," in Motor Control (11 suppl.): Proc. Prog. Motor Control, VI, Santos, Brazil, 2007, pp. 1087-1640.