Literature DB >> 24187170

Brief biomechanical analysis on the walking of spinal cord injury patients with a lower limb exoskeleton robot.

Jun-Young Jung, Hyunsub Park, Hyun-Dae Yang, Mingi Chae.   

Abstract

This paper presents a brief biomechanical analysis on the walking behavior of spinal cord injury (SCI) patients. It is known that SCI patients who have serious injuries to their spines cannot walk, and hence, several walking assistance lower limb exoskeleton robots have been proposed whose assistance abilities are shown to be well customized. However, these robots are not yet fully helpful to all SCI patients for several reasons. To overcome these problems, an exact analysis and evaluation of the restored walking function while the exoskeleton is worn is important. In this work, walking behavior of SCI patients wearing the rehabilitation of brain injuries (ROBIN) lower-limb walking assistant exoskeleton was analyzed in comparison to that of normal unassisted walking. The analysis method and results presented herein can be used by other researchers to improve their robots.

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Year:  2013        PMID: 24187170     DOI: 10.1109/ICORR.2013.6650351

Source DB:  PubMed          Journal:  IEEE Int Conf Rehabil Robot        ISSN: 1945-7898


  3 in total

1.  Real-time strap pressure sensor system for powered exoskeletons.

Authors:  Jesús Tamez-Duque; Rebeca Cobian-Ugalde; Atilla Kilicarslan; Anusha Venkatakrishnan; Rogelio Soto; Jose Luis Contreras-Vidal
Journal:  Sensors (Basel)       Date:  2015-02-16       Impact factor: 3.576

Review 2.  Gait Recognition for Lower Limb Exoskeletons Based on Interactive Information Fusion.

Authors:  Wei Chen; Jun Li; Shanying Zhu; Xiaodong Zhang; Yutao Men; Hang Wu
Journal:  Appl Bionics Biomech       Date:  2022-03-26       Impact factor: 1.781

3.  A Neural Network-Based Gait Phase Classification Method Using Sensors Equipped on Lower Limb Exoskeleton Robots.

Authors:  Jun-Young Jung; Wonho Heo; Hyundae Yang; Hyunsub Park
Journal:  Sensors (Basel)       Date:  2015-10-30       Impact factor: 3.576

  3 in total

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