ゼミナール発表

日時: 10月16日(水)3限 (13:30 - 15:00)


会場: L1

司会: 山口 明彦
Giuseppe Lisi 1261021: D, 中間発表 池田 和司, 小笠原 司, 柴田 智広, 川人 光男
title: Influence of a Wearable Robot on EEG Decoding
abstract: This paper investigates the influence of an assistive wearable robot on EEG decoding. While previous studies have demonstrated that event-related (de)synchronization associated to motor tasks can be used to control a neuroprosthesis, other works have found similar brain rhythms in relation to passive movements. In this study, we examine whether the brain activity associated to leg's passive movements, interferes with the decoding of voluntary finger tapping. Furthermore, we examine if electromagnetic noise, possibly generated by electric motors, affects the decoder. Experiments involved 4 subjects, who performed finger tapping tasks, while their leg was secured to a 1DoF robot. Experimental conditions were three: robot rhythmically actuated, with or without electric motor, or robot stopped. These conditions were compared from a decoding accuracy standpoint: decoders, trained by a novel algorithm, were used to obtain, for each condition, cross-validated single- trial classification accuracies (3 classes), which were statistically compared. Eventually, we analyzed the coupling between the motor cortex activity and the phase of the leg swing. Results suggest that the electric motor does not generate significant electromagnetic noise, while the passive movement apparently produces seldom interfering brain activity. In conclusion, EEG decoding is feasible even when the subject wears a moving assistive robot.
language of the presentation: English
 
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