Gait Guidance Control for Damping of Unnatural Motion in a Powered Pediatric Lower-Limb Orthosis

被引:0
|
作者
Laubscher, Curt A. [1 ]
Sawicki, Jerzy T. [1 ]
机构
[1] Cleveland State Univ, Washkewicz Coll Engn, Ctr Rotating Machinery Dynam & Control RoMaDyC, Cleveland, OH 44115 USA
来源
2019 IEEE 16TH INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR) | 2019年
关键词
WALKING; EXOSKELETON;
D O I
10.1109/icorr.2019.8779437
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The nominal gait of each individual is unique and varies with the walking speed of the person. This poses a difficult problem for powered rehabilitative orthoses since control strategies often require a reference trajectory and give little control to the patient. This paper describes a simple control approach which applies torque resistive to joint movement that is unnatural for healthy individuals in the hip and knee joints during the swing phase of gait. The controller uses a configuration-dependent orthonormal basis to represent vectors in terms of components which are tangent and normal to healthy gait patterns for a continuum of gait speeds. The controller damps motion in the normal direction, thereby resisting movement which is unnatural for healthy individuals. With this control law, subjects are not restricted to a particular reference trajectory and have a large degree of volition over spatiotemporal gait parameters (e.g., stride length, swing time, and cadence). Experiments are conducted to check the feasibility of the control law in a provisional powered pediatric lower-limb orthosis. The gait guidance controller is used in conjunction with a human controller representing an individual with gait impairment. The main results compare gait shape quality when the gait guidance controller is enabled versus disabled, and show how the gait guidance controller is able to reshape gait to more closely resemble that of a healthy individual for various cadences.
引用
收藏
页码:676 / 681
页数:6
相关论文
共 50 条
  • [41] Potential of lower-limb muscles to accelerate the body during cerebral palsy gait
    Correa, Tomas A.
    Schache, Anthony G.
    Graham, H. Kerr
    Baker, Richard
    Thomason, Pam
    Pandy, Marcus G.
    GAIT & POSTURE, 2012, 36 (02) : 194 - 200
  • [42] Stable gait generation method for lower-limb exoskeleton based on instrumented crutches
    Zheng, Tianjiao
    Gao, Jingsong
    Zhao, Sikai
    Lai, Mingzhu
    Gao, Yang
    Zhao, Jie
    Zhu, Yanhe
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2023, 20 (04)
  • [43] Attempted symmetry affects dynamic gait stability in individuals with lower-limb amputation
    Bisele, Maria
    Bencsik, Martin
    Lewis, Martin G. C.
    Barnett, Cleveland T.
    GAIT & POSTURE, 2024, 107 : 182 - 188
  • [44] Understanding adaptive gait in lower-limb amputees: insights from multivariate analyses
    Buckley, John G.
    De Asha, Alan R.
    Johnson, Louise
    Beggs, Clive B.
    JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2013, 10
  • [45] A Multistage Hemiplegic Lower-Limb Rehabilitation Robot: Design and Gait Trajectory Planning
    Wang, Xincheng
    Wang, Hongbo
    Zhang, Bo
    Zheng, Desheng
    Yu, Hongfei
    Cheng, Bo
    Niu, Jianye
    SENSORS, 2024, 24 (07)
  • [46] Gait Phase Recognition for Lower-Limb Exoskeleton with Only Joint Angular Sensors
    Liu, Du-Xin
    Wu, Xinyu
    Du, Wenbin
    Wang, Can
    Xu, Tiantian
    SENSORS, 2016, 16 (10)
  • [47] Acute effects of Kinesio Taping on lower-limb coordination of gait in hemiplegic patients
    Chen, Huimeng
    Li, Yaoze
    Xu, Xiangdong
    Na, Jia
    Liu, Yuduo
    Li, Qiujie
    Wan, Xianglin
    GAIT & POSTURE, 2023, 102 : 43 - 49
  • [48] Lower-Limb Exoskeleton With Variable-Structure Series Elastic Actuators: Phase-Synchronized Force Control for Gait Asymmetry Correction
    Aguirre-Ollinger, Gabriel
    Yu, Haoyong
    IEEE TRANSACTIONS ON ROBOTICS, 2021, 37 (03) : 763 - 779
  • [49] Effects of lower limb exoskeleton gait orthosis compared to mechanical gait orthosis on rehabilitation of patients with spinal cord injury: A systematic review and future perspectives
    Zhang, Chaoyang
    Li, Ning
    Xue, Xiali
    Lu, Xia
    Li, Danjie
    Hong, Qiaomei
    GAIT & POSTURE, 2023, 102 : 64 - 71
  • [50] Intent Pattern Recognition of Lower-limb Motion Based on Mechanical Sensors
    Liu, Zuojun
    Lin, Wei
    Geng, Yanli
    Yang, Peng
    IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2017, 4 (04) : 651 - 660