Abstract
To improve the walking abilities of the ankle patients with locomotion impairment, a biomimetic Ankle-Exosuit was designed based on the muscle-tendon-ligament model. The Ankle-Exosuit assisted ankle plantarflexion by exerting a force parallel to the muscle to reduce plantar flexor activation and enhance lower extremity walking endurance. The bandage locomotion could be effectively reduced by the designed lacing mechanism. We established the coupled kinematic model of human-exosuit. To determine the opening and closing times of the ankle plantarflexion assistance, a threshold detection algorithm was proposed for the recognition of heel-off (HO) and toe-off (TO). A trajectory generator according to the fusion of the coupled kinematic model and trajectory generation function was developed. Comparison experiments based on the measurements of the surface electromyographic (sEMG) signals demonstrated that when wearing the Ankle-Exosuit, the locomotion activation of the gastrocnemius muscles (GM) and soleus muscles (SM) decreased by 11.09% and 6.5%, respectively. The proposed Ankle-Exosuit can decrease muscle fatigue to achieve effective walking assistance.
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References
Olney, S.J., Rsichards, C.: Hemiparetic gait following stroke. Part I: Characteristics. Gait Posture 4(2), 136–148 (1996)
Moriello, C., Finch, L., Mayo, N.E.: Relationship between muscle strength and functional walking capacity among people with stroke. J. Rehabil. Res. Dev. 48(3), 267–275 (2011)
MAili, P., Salvo, F.D., Caserio, M.: Neurorehabilitation in paraplegic patients with an active powered exoskeleton (Ekso). Digit. Med. 2(4), 163 (2016)
Jansen, O., Grasmuecke, D., Meindl, R.C.: Hybrid assistive limb exoskeleton HAL in the rehabilitation of chronic spinal cord injury: proof of concept; the results in 21 patients. World Neurosurg. 110, e73–e78 (2018)
Hong, E., Gorman, P.H., Forrest, G.F.: Mobility skills with exoskeletal-assisted walking in persons with SCI: results from a three center randomized clinical trial. Front. Robot. AI 7 (2020)
Milia, P., De Salvo, F., Caserio, M.: Neurorehabilitation in paraplegic patients with an active powered exoskeleton (Ekso). Digit. Med. 2(4), 163 (2016)
Ding, Y., Galiana, I., Asbeck, A..T.: Biomechanical and physiological evaluation of multi-joint assistance with soft exosuits. IEEE Trans. Neural Syst. Rehabilit. Eng. 25(2), 119–130 (2017)
Park, Y.L., Chen, B.R., Perez-arancibia, N.O.: Design and control of a bio-inspired soft wearable robotic device for ankle-foot rehabilitation. Bioinspir. Biomim. 9(1), 016007 (2014)
Wehner, M., Quinlivan, B., Aubin, P.M.: A lightweight soft exosuit for gait assistance. In: Proceedings of the 2013 IEEE International Conference on Robotics and Automation, F, 2013. IEEE (2013)
Awad, L.N., Bae, J., O’Donnell, K.: A soft robotic exosuit improves walking in patients after stroke. Sci. Transl. Med. 9(400), eaai9084 (2017)
Schmid, K., Duarte, J.E., Grimmer, M.: The myosuit: bi-articular anti-gravity exosuit that reduces hip extensor activity in sitting transfers. Front. Neurorobot. 11 (2017)
Ding, Y., Gallana, I., Siviy, C.: IMU-based iterative control for hip extension assistance with a soft exosuit. In: Proceedings of the 2016 IEEE International Conference on Robotics and Automation (ICRA), F, 2016. IEEE (2016)
Lee, G., Ding, Y., Bujanda, I.G.: Improved assistive profile tracking of soft exosuits for walking and jogging with off-board actuation. In: Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), F, 2017. IEEE (2017)
Walsh, C.: Human-in-the-loop development of soft wearable robots. Nat. Rev. Mater. (2018)
Haxton, H.A.: Absolute muscle force in the ankle flexors of man. J. Physiol. 103(3), 267–273 (1944)
Li, Y.D., Hsiao-Wecksler, E.T.: Gait mode recognition and control for a portable-powered ankle-foot orthosis. Proceedings of the 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR), F, 2013. IEEE (2013)
Bae, J., De Rossi, S.M.M., O’Donnell, K.: A soft exosuit for patients with stroke: feasibility study with a mobile off-board actuation unit. In: Proceedings of the 2015 IEEE International Conference on Rehabilitation Robotics (ICORR), F, 2015. IEEE (2015)
Gallagher, A., Matsuoka, Y., Ang, W,-T.: An efficient real-time human posture tracking algorithm using low-cost inertial and magnetic sensors. In: Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat No. 04CH37566), F, 2004. IEEE (2004)
Marins, J.L., Yun, X., Bachmann, E.R.: An extended Kalman filter for quaternion-based orientation estimation using MARG sensors. In: Proceedings of the 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems Expanding the Societal Role of Robotics in the the Next Millennium (Cat No 01CH37180), F, 2001. IEEE (2001)
Foxlin, E.: Inertial head-tracker sensor fusion by a complementary separate-bias Kalman filter. In: Proceedings of the IEEE 1996 Virtual Reality Annual International Symposium, F, 1996. IEEE (1996)
Chevalier, T.L., Hodgins, H., Chockalingam, N.: Plantar pressure measurements using an in-shoe system and a pressure platform: a comparison. Gait Posture 31(3), 397–399 (2010)
Acknowledgements
This work was funded by Chongqing Science and Technology Commission of China (cstc2020jcyj-msxmX0398), Science and Technology Research Program of Chongqing Municipal Education Commission (KJZD-K202001103, KJQN202201169), the Scientific Research Foundation of Chongqing University of Technology (2019ZD61), and the graduate student Innovation Project of Chongqing (NO. CYS21466). Supported by action plan for quality development of Chongqing University of Technology graduate education (Grant No. gzlcx20233426).
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Zhao, L. et al. (2023). Biomechanical Design, Modeling and Control of an Ankle-Exosuit System. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14268. Springer, Singapore. https://doi.org/10.1007/978-981-99-6486-4_42
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DOI: https://doi.org/10.1007/978-981-99-6486-4_42
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