Literature DB >> 29641389

Retraining of Human Gait - Are Lightweight Cable-Driven Leg Exoskeleton Designs Effective?

Xin Jin, Antonio Prado, Sunil K Agrawal.   

Abstract

Exoskeletons for gait training commonly use a rigid-linked "skeleton" which makes them heavy and bulky. Cable-driven exoskeletons eliminate the rigid-linked skeleton, providing a lighter and transparent design. Current cable-driven exoskeletons are aimed only at gait assistance by providing short bursts of forces to the leg during walking. It has not yet been shown if these designs are suitable for gait retraining, where rehabilitative forces need to be continuously applied to the leg in response to errors from a desired movement. The goal of this study is to investigate if a cable-driven leg exoskeleton can retrain the gait of human users. Nine healthy subjects were trained by a cable-driven leg exoskeleton to walk in a new gait pattern with 30% increase in step height from their natural gait. After 40 min of training, the gait of the subjects became significantly closer to the target gait than before the training. In three different post-training sessions, the step height of the subjects increased by 22%, 29%, and 31% on an average. In a fourth post-training session, when the subjects were instructed to ignore the training and walk naturally, the step height remained increased by 11%. These results confirm the potential of cable-driven designs in gait training applications.

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Year:  2018        PMID: 29641389     DOI: 10.1109/TNSRE.2018.2815656

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  4 in total

Review 1.  Coordination Between Partial Robotic Exoskeletons and Human Gait: A Comprehensive Review on Control Strategies.

Authors:  Julio S Lora-Millan; Juan C Moreno; E Rocon
Journal:  Front Bioeng Biotechnol       Date:  2022-05-25

Review 2.  A Review of Robot-Assisted Lower-Limb Stroke Therapy: Unexplored Paths and Future Directions in Gait Rehabilitation.

Authors:  Bradley Hobbs; Panagiotis Artemiadis
Journal:  Front Neurorobot       Date:  2020-04-15       Impact factor: 2.650

3.  Safety Evaluation and Experimental Study of a New Bionic Muscle Cable-Driven Lower Limb Rehabilitation Robot.

Authors:  Yan Lin Wang; Ke Yi Wang; Kui Cheng Wang; Zong Jun Mo
Journal:  Sensors (Basel)       Date:  2020-12-08       Impact factor: 3.576

4.  Force Transmission Analysis and Optimization of Bowden Cable on Body in a Flexible Exoskeleton.

Authors:  Xin Li; Jinkang Liu; Weihao Li; Yijing Huang; Gan Zhan
Journal:  Appl Bionics Biomech       Date:  2022-07-28       Impact factor: 1.664

  4 in total

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