Physical human-robot interface for lower limb exoskeletons to affect internal joint forces

LI Yinbo; TANG Zihan; JI Linhong; MENG Kuilin; LI Zhibin; GUAN Xinyu

doi:10.16511/j.cnki.qhdxxb.2019.21.019

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Journal of Tsinghua University(Science and Technology) ›› 2019, Vol. 59 ›› Issue (7) : 544-550. DOI: 10.16511/j.cnki.qhdxxb.2019.21.019

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Physical human-robot interface for lower limb exoskeletons to affect internal joint forces

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Abstract

Lower limb exoskeletons (LLEs) can assist paraplegic or hemiplegic patients to regain movement. However, different physiological structures and assembly errors create undesirable forces between the human and the exoskeleton, which result in undesired loadings on the joints and soft tissues of the user. Traditional physical human-robot interfaces of LLEs are unable to solve this problem. This study developed a physical human-robot interface for LLEs that focused on the internal joint forces through comparisons with traditional physical human-robot interfaces. A statics analysis of the forces on the human lower limb during the swing phase showed that this device stabilizes the internal joint forces. The device reduces the internal joint force on the human hip by 2.45% on average when there is vertical difference in the sagittal plane between the human hip joint and the exoskeleton hip joint and by 11.23% on average when there is horizontal difference in the sagittal plane between the human hip joint and the exoskeleton hip joint. The device also reduces the force on the human knee by 13.68% when there is vertical difference in the sagittal plane between the human knee joint and the exoskeleton knee joint, but increases the force on the human knee by 23.48% when there is horizontal difference in the sagittal plane between the human knee joint and the exoskeleton knee joint. This paper shows that this device can reduce the wear on the human hip and knee cartilage and soft tissues; thereby improving the exoskeleton experience for patients.

Key words

lower limb exoskeletons / physical human-robot interface / internal joint force / axis misalignment

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LI Yinbo, TANG Zihan, JI Linhong, MENG Kuilin, LI Zhibin, GUAN Xinyu. Physical human-robot interface for lower limb exoskeletons to affect internal joint forces[J]. Journal of Tsinghua University(Science and Technology). 2019, 59(7): 544-550 https://doi.org/10.16511/j.cnki.qhdxxb.2019.21.019

References

[1] 关鑫宇. 脊髓损伤患者无静力储能外骨骼设计及助行方法研究[D]. 北京:清华大学, 2017. GUAN X Y. Unpowered energy-stored exoskeleton development and walking assistance for patients with spinal cord injury[D]. Beijing:Tsinghua University, 2017. (in Chinese)
[2] CHEN B, MA H, QIN L Y, et al. Recent developments and challenges of lower extremity exoskeletons[J]. Journal Orthopaedic Translation, 2016, 5:26-37.
[3] DOLLAR A M, HERR H. Lower extremity exoskeletons and active orthoses:Challenges and state-of-the-art[J]. IEEE Transactions on Robotics, 2008, 24(1):144-158.
[4] 邓楚慧. 穿戴式下肢康复机器人机构分析及优化设计[D]. 北京:北京工业大学, 2012. Deng C H. Analysis and optimization design of wearable lower extremity rehabilitation robot mechanism[D]. Beijing:Beijing University of Technology, 2012. (in Chinese)
[5] 贾山. 下肢外骨骼的静力学分析与运动规划[D]. 南京:东南大学, 2016. JIA S. Dynamics and motion planning of lower extremity exoskeleton[D]. Nanjing:Southest University, 2016. (in Chinese)
[6] ESQUENAZI A, TALATY M, JAYARAMAN A. Powered exoskeletons for walking assistance in persons with central nervous system injuries:A narrative review[J]. Physical Medicine and Rehabilitation, 2017, 9(1):46-62.
[7] ZHANG X, YUE Z, Wang J. Robotics in lower-limb rehabilitation after stroke[J]. Behavioural Neurology, 2017, 2017:1-13. DOI:10.1155/2017/3731802.
[8] 杨正东. 截瘫助行外骨骼步态规划与人机协调性的研究[D]. 北京:清华大学, 2014. YANG Z D. Gait planning and human-machine coordination study of walk assisting exoskeleton for paraplegics[D]. Beijing:Tsinghua University, 2014. (in Chinese)
[9] ESQUENAZI A, TALATY M, PACKEL A, et al. The ReWalk powered exoskeleton to restore ambulatory function to individuals with thoracic-level motor-complete spinal cord injury[J]. American Journal of Physical Medicine & Rehabilitation, 2012, 91(11):911-21.
[10] PRANSKY J. The Pransky interview:Russ Angold, co-founder and president of Ekso (TM) labs[J]. Industrial Robot-an International Journal, 2014, 41(4):329-334.
[11] CEMPINI M, M S M, ROSSI D, et al. Self-alignment mechanisms for assistive wearable robots:A kinetostatic compatibility method[J]. IEEE Transactions on Robotics, 2013, 29(1):236-250.
[12] D'ELIA N, VANETTI F, CEMPINI M, et al. Physical human-robot interaction of an active pelvis orthosis:Toward ergonomic assessment of wearable robots[J]. Journal of Neuroengineering and Rehabilitation, 2017, 14(51):29.
[13] LEE Y, KIM Y J, LEE J, et al. Biomechanical design of a novel flexible exoskeleton for lower extremities[J]. IEEE-ASME Transactions on Mechatronics, 2017, 22(5):2058-2069.
[14] WHITTLE M W. An introduction to gait analysis[M]. London, UK:Elsevier Health Sciences, 2007.
[15] 金德闻.康复工程与生物机械学[M]. 北京:清华大学, 2011. JIN D W. Bio-mechanology in rehabilitation engineering[M]. Beijing:Tsinghua University, 2011. (in Chinese)
[16] 樊鸣鸣. 人体皮肤摩擦特性的试验研究[D]. 南京:南京航空航天大学, 2010. FAN M M. Experimental study on frictional properties of human skin[D]. Nanjing:Nanjing University of Aeronautics and Astronautic, 2010. (in Chinese)