Open Access
Volume 40, Number 1, February 2022
Page(s) 95 - 102
Published online 02 May 2022
  1. Jia Jianping. Neurology. Beijing: People's Health Publishing House, 2008: 171 (in Chinese) [Google Scholar]
  2. Wang Longde, Liu Jianmin, Yang Yi, et al. The prevention and treatment of stroke in China still faces great challenges: summary of China stroke prevention and treatment report 2018[J]. Chinese Journal of Circulation, 2019, 34(2): 105119[Article] (in Chinese) [Google Scholar]
  3. Krakauer John W. Motor learning: its relevance to stroke recovery and neurorehabilitation[J]. Current Opinion in Neurology, 2006, 19(1): 84[Article] [CrossRef] [Google Scholar]
  4. Weber L M, Stein J. The use of robots in stroke rehabilitation: a narrative review[J]. Neuro Rehabilitation, 2018, 43(1): 99110 [Google Scholar]
  5. Mukherjee D, Levin R L, Heller W. The cognitive, emotional, and social sequelae of stroke: psychological and ethical concerns in post-stroke adaptation[J]. Topics in Stroke Rehabilitation, 2006, 13(4): 26–35[Article] [CrossRef] [Google Scholar]
  6. Awad L N, Bae J, O'Donnell K, et al. A soft robotic exosuit improves walking in patients after stroke[J]. Science Translational Medicine, 2017, 9(400): 1–12 [Google Scholar]
  7. Kazerooni H. The berkeley lower extremity exoskeleton[J]. Journal of Dynamic System Measurement & Control, 2006, 128(1): 9–15 [Google Scholar]
  8. Gordon K E, Ferris D P. Learning to walk with a robotic ankle exoskeleton[J]. Journal of Biomechanics, 2007, 40(12): 2636–2644[Article] [CrossRef] [Google Scholar]
  9. Collins S H, Wiggin M B, Sawicki G S. Reducing the energy cost of human walking using an unpowered exoskeleton[J]. Nature, 2015, 522(7555): 212–215[Article] [NASA ADS] [CrossRef] [Google Scholar]
  10. Shepertycky Michael, Burton Sarah, Dickson Andrew, et al. Removing energy with an exoskeleton reduces the metabolic cost of walking[J]. Science, 2021, 372(6545): 957–960[Article] [CrossRef] [Google Scholar]
  11. Xing Kai, Zhao Xinhua, Chen Wei, et al. Research status and development trend of exoskeleton robot[J]. Medical and health equipment, 2015, 36(1): 104–107[Article] (in Chinese) [Google Scholar]
  12. Huang Lei. Coupling simulation of human lower limbs and rehabilitation robot based on opensim[D]. Tianjin: Tianjin University, 2016 (in Chinese) [Google Scholar]
  13. Han Bing, Jiao Yan, Liu Geng, et al. Kinematic & dynamic models of human lower extremity during the gait cycle[C]//2020 6th International Conference on Control, Automation and Robotics, 2020: 568–573 [Google Scholar]
  14. 国家标准化委员会. 中国成年人人体尺寸[S]. GB/T 10000-1988 [Google Scholar]
  15. 国家标准化委员会. 中国成年人人体惯性参数[S]. GB/T 17245-2004 [Google Scholar]
  16. Zhou Xin, Liu Geng, Han Bing, et al. Different kinds of energy harvesters from human activities[J]. International Journal of Energy Research, 2021, 45(5): 1–30 [CrossRef] [Google Scholar]
  17. Neumann D A. Kinesiology of the musculoskeletal system. Mosby: Elsevier, 2010 [Google Scholar]
  18. Liu Geng, Zhou Xin, Han Bing, et al. A flexible exoskeleton for energy collection, management and migration of human lower limbs[P]. CN111102147A (in Chinese) [Google Scholar]
  19. Zhou Xin, Liu Geng, Han Bing, et al. Design of a human lower limbs exoskeleton for biomechanical energy harvesting and assist walking[J]. Energy Technology, 2020, 9(1): 1–14 [Google Scholar]
  20. Pu Lianggui, Chen Guoding, Wu Liyan. Mechanical design. Beijing: Higher Education Press, 2011 (in Chinese) [Google Scholar]
  21. Sun Huan, Chen Zuomo, Ge Wenjie. Mechanical principle. Beijing: Higher Education Press, 2011 (in Chinese) [Google Scholar]
  22. Yan Tiebin, Wyc Huichan. Maximum isometric voluntary contraction of ankle dorsiflexors and plantarflexors: comparison of surface electromyography between patients at the acute stage after stroke and age-matched healthy elderly[J]. Chinese Journal of physical medicine and rehabilitation, 2003 (4): 22–25[Article] (in Chinese) [Google Scholar]

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