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Real time computation of Centroidal Momentum while human walking in the lower limbs rehabilitation exoskeleton: Preliminary trials

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

5 Citas (Scopus)

Resumen

In EU-funded BALANCE project, developing a stability index which can be employed to estimate actual state of balance of both healthy and neurologically impaired humans' walking in exoskeleton was one of scientific tasks. In the task, Centroidal Momentum (CM), referring to linear and angular momenta at Center of Mass (CoM), has raised as a potential index for such purpose. While our past studies have presented analysis results of CM in offline and online (real time) manners for walking of healthy human and stroke patients, in this study, we present real time computation of CM in exoskeleton-supported walking, specifically with healthy subjects. Experimental setup consists of LOPES II, a treadmill-based robotic gait training exoskeleton for lower limbs rehabilitation developed by Twente University, and commercially available IMUs (Inertial Measurement Units)-based full body motion capture suits from Xsens. CM was computed and demonstrated in two walking conditions: unperturbed walking and walking with unexpected pelvic perturbations in lateral direction. While electromagnetic fields (EMF) from LOPES II exoskeleton affected signals of IMUs in the motion capture suit, the results show the potential applicability of the CM as a sort of stability index for human walking in the exoskeleton.

Idioma originalInglés
Título de la publicación alojada2019 IEEE 16th International Conference on Rehabilitation Robotics, ICORR 2019
EditorialIEEE Computer Society
Páginas721-726
Número de páginas6
ISBN (versión digital)9781728127552
DOI
EstadoPublicada - jun 2019
Evento16th IEEE International Conference on Rehabilitation Robotics, ICORR 2019 - Toronto, Canadá
Duración: 24 jun 201928 jun 2019

Serie de la publicación

NombreIEEE International Conference on Rehabilitation Robotics
Volumen2019-June
ISSN (versión impresa)1945-7898
ISSN (versión digital)1945-7901

Conferencia

Conferencia16th IEEE International Conference on Rehabilitation Robotics, ICORR 2019
País/TerritorioCanadá
CiudadToronto
Período24/06/1928/06/19

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 3: Salud y bienestar
    ODS 3: Salud y bienestar

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