Literature DB >> 19163077

Body weight support by virtual model control of an impedance controlled exoskeleton (LOPES) for gait training.

Herman van der Kooij1, Bram Koopman, Edwin H F van Asseldonk.   

Abstract

The feasibility of an alternative method to support body weight in a powered exoskeleton is demonstrated. Instead of using an overhead suspension system, body weight is supported by augmenting the joint moments through virtual model control. The advantages of this novel method is that it allows for independent support of the left and right leg, and does not interfere with the excitation of cutanous afferents and balance of the body or trunk. Results show that after a short familiarization period the activity of muscles during initial stance reduces and kinematics become close to normal.

Mesh:

Year:  2008        PMID: 19163077     DOI: 10.1109/IEMBS.2008.4649574

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

1.  Applications of Brain-Machine Interface Systems in Stroke Recovery and Rehabilitation.

Authors:  Anusha Venkatakrishnan; Gerard E Francisco; Jose L Contreras-Vidal
Journal:  Curr Phys Med Rehabil Rep       Date:  2014-06-01

2.  fNIRS-based Neurorobotic Interface for gait rehabilitation.

Authors:  Rayyan Azam Khan; Noman Naseer; Nauman Khalid Qureshi; Farzan Majeed Noori; Hammad Nazeer; Muhammad Umer Khan
Journal:  J Neuroeng Rehabil       Date:  2018-02-05       Impact factor: 4.262

3.  Selective control of gait subtasks in robotic gait training: foot clearance support in stroke survivors with a powered exoskeleton.

Authors:  Bram Koopman; Edwin H F van Asseldonk; Herman van der Kooij
Journal:  J Neuroeng Rehabil       Date:  2013-01-21       Impact factor: 4.262

4.  Evolving Toward Subject-Specific Gait Rehabilitation Through Single-Joint Resistive Force Interventions.

Authors:  S Srikesh Iyer; Joel V Joseph; Vineet Vashista
Journal:  Front Neurorobot       Date:  2020-03-12       Impact factor: 2.650

  4 in total

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