Simulation Lower Limb Muscle Activation Patterns on Gait Rehabilitation Robot Device

Abstract:

Rehabilitation robot is usefully to improves walking ability on patients with gait disorders. Over the last decade, rehabilitation robot device replaced the training of overground and treadmill. The purpose of this study was to compare the differences in muscles activities of simulated human leg while walking on two gait rehabilitation robots: the exoskeleton rehabilitation robot and the end-effector rehabilitation robot. We have built models of simulated human leg, exoskeleton rehabilitation robot and end-effector rehabilitation robot. The results showed that rectus femoris and tibialis anterior muscles of the simulated human leg were more active while walking on the exoskeleton rehabilitation robot. The results of this study may provide technical improvement for gait rehabilitation robots, so that lower limb muscles movement can be more correctly achieved for normal individuals during gait rehabilitation training.

• Periodical: Key Engineering Materials (Volume 649)
• Pages: 60-65
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.649.60
• Online since: June 2015
• Authors: Pi Ying Cheng, Po Ying Lai*, Cheng Li Hsieh, Wei I Lun
• Keywords: Gait Rehabilitation Robot, Lower Limbs Rehabilitation

References

[1] L. Finch, H. Barbeau, and B. Arsenault, Influence of body weight support on normal human gait: development to fagaitre training strategy, Physical Therapy. 71 (1991) 842–855.

DOI: 10.1093/ptj/71.11.842

[2] A. L. Behrman and S. J. Harkema, Locomotor training after human spinal cord injury: a series of case studies, Physical Therapy. 80 (2000) 688-700.

DOI: 10.1093/ptj/80.7.688

[3] K. P. Westlake and C. Patten, Pilot study of Lokomat versus manual-assisted treadmill training for locomotor recovery post-stroke, J. NeuroEngineering and Rehabilitation. 6 (2009) 6-18.

DOI: 10.1186/1743-0003-6-18

[4] G. Colombo, M. Joerg, R. Schreier and V. Dietz, Treadmill training of paraplegic patients using a robotic orthosis, Rehabilitation Research and Development. 37 (2000) 693-700.

[5] S. Fisher, L. Lucas and T. A. Thrasher, Robot-Assisted Gait Training for Patients with Hemiparesis Due to Stroke, Topics in Stroke Rehabilitation. 18 (2011) 269-276.

DOI: 10.1310/tsr1803-269

[6] E. H. van Asseldonk, J. F. Veneman, R. Ekkelenkamp, J. H. Buurke, F. C. van der Helm and H. van der Kooij, The Effects on Kinematics and Muscle Activity of Walking in a Robotic Gait Trainer During Zero-Force Control, IEEE Trans Neural Syst Rehabil Eng. 16 (2008).

DOI: 10.1109/tnsre.2008.925074

[7] S. Banala, A. Kulpe and S. K. Agrawal, A Powered Leg Orthosis for Gait Rehabilitation of Motor-Impaired Patients. Proceedings, IEEE International Conference on Robotics and Automation. (2007) 4140-4145.

DOI: 10.1109/robot.2007.364115

[8] H. Stefan, W. Andreas and T. Christopher, Innovative gait robot for the repetitive practice of floor walking and stair climbing up and down in stroke patients, NeuroEngineering and Rehabilitation. 7 (2010).

DOI: 10.1186/1743-0003-7-30

[9] C. Werner, S. Von Frankenberg, T. Treig, M. Konrad and S. Hesse, Treadmill training with partial body weight support and an electromechanical gait trainer for restoration of gait in subacute stroke patients, a randomized crossover study. 33 (2002).

DOI: 10.1161/01.str.0000035734.61539.f6

[10] H. Yano, K. Kasai, H. Saito and H. Iwata, Sharing Sense of Walking With Locomotion Interfaces, INTERNATIONAL JOURNAL OF HUMAN–COMPUTER INTERACTION. 17 (2009) 447-462.

DOI: 10.1207/s15327590ijhc1704_1

[11] http: /www. iosh. gov. tw/wSite/ct?xItem=7305&ctNode=665&mp=11.

[12] W. Kim, J. Tan, A. Veloso, V. Vleck, A.S. Voloshin, The natural frequency of the foot–surface cushion during the stance phase of running. Journal of Biomechanics, 44 (2011) 774-779.

DOI: 10.1016/j.jbiomech.2010.10.041

[13] Ratcliffe, R.J.; Holt, K. G, Low frequency shock absorption in human walking, Gait and Posture. 5 (1997) 93-100.

DOI: 10.1016/s0966-6362(96)01077-6

[14] Delp SL, Loan JP, Hoy MG, Zajac FE, An interactive graphics-based model of the lower extremity to study orthopaedic surgical procedures. IEEE Trans. Biomed. Eng. 37 (1990) 757-767.

DOI: 10.1109/10.102791

[15] J. Hidler, D. Nichols, M. Pelliccio, K. Brady, Advances in the understanding and treatment of stroke impairment using robotic devices, Top Stroke Rehabil. 12 (2005) 21-33.

DOI: 10.1310/ryt5-62n4-ctvx-8jte

[16] Hidler JM, Wall AE: Alterations in muscle activation patterns during robotic-assisted walking. Clin Biomech. 20 (2005) 184-193.

DOI: 10.1016/j.clinbiomech.2004.09.016

[17] Hesse S and Werner C. Connecting research to the needs of patients and clinicians. Brain Research Bulletin. 78 (2009) 26–34.

DOI: 10.1016/j.brainresbull.2008.06.004