Experimental architecture to analyse brain signals during walking

Abstract

In this paper, the complete set up used to perform several walking experiments are shown. A Brain Machine Interface (BMI) system is used to record Electroencephalographic (EEG) signals from the cerebral cortex of the subject. EEG signals are analysed in order to study the cognitive mechanisms related to self-adjustments or attention during walking and to decode the locomotion. Moreover, a group of Inertial Measurement Units (IMUs) are used to know the gait kinematics and to a better understanding of correlation between electrophysiological and biomechanical data.