Influencia del exoesqueleto de miembro inferior en señales eeg
- M. Rodríguez-Ugarte 1
- E. Iáñez 1
- M. Ortiz 1
- J. M. Cano 1
- J. A. Flores 1
- J. M. Azorín 1
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1
Universidad Miguel Hernández de Elche
info
- Inés Tejado Balsera (coord.)
- Emiliano Pérez Hernández (coord.)
- Antonio José Calderón Godoy (coord.)
- Isaías González Pérez (coord.)
- Pilar Merchán García (coord.)
- Jesús Lozano Rogado (coord.)
- Santiago Salamanca Miño (coord.)
- Blas M. Vinagre Jara (coord.)
Publisher: Universidad de Extremadura
ISBN: 978-84-9749-756-5, 978-84-09-04460-3
Year of publication: 2018
Pages: 28-33
Congress: Jornadas de Automática (39. 2018. Badajoz)
Type: Conference paper
Sustainable development goals
Abstract
Cerebrovascular accident (CVA) or stroke is one of the most common causes in the world which provokes motor impairment. For this reason, the scientific community is investigating ways to help those affected by stroke. This work uses brain-machine interfaces (BMI) and lower limb exoskeleton technologies to improve the rehabilitation process of CVA patients.In this way, the future patient, will be more involved in his/her rehabilitation therapy. The aim of this work is to study if the generated noise by the exoskeleton affects the EEG signals of the user and therefore, the performance of the BMI can be influenced by it. A power spectrum study of the EEG signals using Fast Fourier Transform was performed.Results show that the movement of the exoskeleton does not produce a significant difference in the power obtained of the selected electrodes. However, a group of electrodes in the occippital area do present significant differences. In the future, we will take this information into account when we use this technology with people that have suffered a CVA.