State of the art in parallel ankle rehabilitation robot: a systematic review.

Journal: Journal of neuroengineering and rehabilitation
PMID:

Abstract

BACKGROUND: The ankle joint complex (AJC) is of fundamental importance for balance, support, and propulsion. However, it is particularly susceptible to musculoskeletal and neurological injuries, especially neurological injuries such as drop foot following stroke. An important factor in ankle dysfunction is damage to the central nervous system (CNS). Correspondingly, the fundamental goal of rehabilitation training is to stimulate the reorganization and compensation of the CNS, and to promote the recovery of the motor system's motor perception function. Therefore, an increasing number of ankle rehabilitation robots have been developed to provide long-term accurate and uniform rehabilitation training of the AJC, among which the parallel ankle rehabilitation robot (PARR) is the most studied. The aim of this study is to provide a systematic review of the state of the art in PARR technology, with consideration of the mechanism configurations, actuator types with different trajectory tracking control techniques, and rehabilitation training methods, thus facilitating the development of new and improved PARRs as a next step towards obtaining clinical proof of their rehabilitation benefits.

Authors

  • Mingjie Dong
    Beijing Key Laboratory of Advanced Manufacturing Technology, Faculty of Materials and Manufacturing, Beijing University of Technology, No. 100 Pingleiyuan, Chaoyang District, Beijing, China.
  • Yu Zhou
    Department of Biospectroscopy, Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Dortmund, Germany.
  • Jianfeng Li
    Beijing Key Laboratory of Advanced Manufacturing Technology, Faculty of Materials and Manufacturing, Beijing University of Technology, No. 100 Pingleiyuan, Chaoyang District, Beijing, China.
  • Xi Rong
    Department of Neurology, the Affiliated Hospital of Qingdao University, 59 Haier Road, Laoshan District, Qingdao, 266000, China.
  • Wenpei Fan
    Beijing Key Laboratory of Advanced Manufacturing Technology, Faculty of Materials and Manufacturing, Beijing University of Technology, No. 100 Pingleiyuan, Chaoyang District, Beijing, China.
  • Xiaodong Zhou
    Institute of Materials Research Engineering, A*STAR (Agency for Science, Technology and Research).
  • Yuan Kong
    Beijing Key Laboratory of Advanced Manufacturing Technology, Faculty of Materials and Manufacturing, Beijing University of Technology, No. 100 Pingleiyuan, Chaoyang District, Beijing, China.