Literature DB >> 24111341

Principles of human locomotion: a review.

J L Pons, J C Moreno, D Torricelli, J S Taylor.   

Abstract

In this article the principles of human locomotion are revisited and reviewed. This has been done in the framework of two European projects, where the elicitation of these mechanisms inform, on the one hand, the design of artificial bipedal walkers (H2R), and on the other hand the design of lower limb exoskeletons (BETTER) for rehabilitation of gait in post-stroke patients. Passive dynamics emerging from the morphology of the human musculoskeletal system, reflexes as stabilization mechanisms, modular control of movement as well as supra-spinal control of gait are reviewed to get insight on how these mechanisms can be used to explain human locomotion.

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Year:  2013        PMID: 24111341     DOI: 10.1109/EMBC.2013.6611154

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


  5 in total

Review 1.  Sexual Dimorphism and the Origins of Human Spinal Health.

Authors:  Vicente Gilsanz; Tishya A L Wren; Skorn Ponrartana; Stefano Mora; Clifford J Rosen
Journal:  Endocr Rev       Date:  2018-04-01       Impact factor: 19.871

Review 2.  Control strategies for active lower extremity prosthetics and orthotics: a review.

Authors:  Michael R Tucker; Jeremy Olivier; Anna Pagel; Hannes Bleuler; Mohamed Bouri; Olivier Lambercy; José Del R Millán; Robert Riener; Heike Vallery; Roger Gassert
Journal:  J Neuroeng Rehabil       Date:  2015-01-05       Impact factor: 4.262

3.  Human-Robot Interaction: Does Robotic Guidance Force Affect Gait-Related Brain Dynamics during Robot-Assisted Treadmill Walking?

Authors:  Kristel Knaepen; Andreas Mierau; Eva Swinnen; Helio Fernandez Tellez; Marc Michielsen; Eric Kerckhofs; Dirk Lefeber; Romain Meeusen
Journal:  PLoS One       Date:  2015-10-20       Impact factor: 3.240

Review 4.  EEG-Based BCI Control Schemes for Lower-Limb Assistive-Robots.

Authors:  Madiha Tariq; Pavel M Trivailo; Milan Simic
Journal:  Front Hum Neurosci       Date:  2018-08-06       Impact factor: 3.169

5.  An artificial neural network approach to detect presence and severity of Parkinson's disease via gait parameters.

Authors:  Tiwana Varrecchia; Stefano Filippo Castiglia; Alberto Ranavolo; Carmela Conte; Antonella Tatarelli; Gianluca Coppola; Cherubino Di Lorenzo; Francesco Draicchio; Francesco Pierelli; Mariano Serrao
Journal:  PLoS One       Date:  2021-02-19       Impact factor: 3.240

  5 in total

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