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Minimizing Biosignal Recording Sites for Noninvasive Hybrid Brain/Neural Control

Alessia Cavallo, Vincent Roth, David Haslacher, Marius Nann, Surjo R. Soekadar

发表年份
2020
引用次数
8

摘要

Noninvasive brain/neural controlled robots are promising tools to improve autonomy and quality of life in severe paralysis, but require biosignal recordings, such as electroencephalography (EEG) and electrooculography (EOG), from various sites distributed over the user's head. This limits the applicability and practicality of noninvasive brain/neural robot control on an everyday basis. It would thus be very desirable to minimize the number of necessary recording sites paving the way for miniaturized, headset-like EEG/EOG systems that users with hemiplegia can mount by themselves. Here, we introduce a novel EEG/EOG brain/neural control strategy using only scalp electrodes placed near cortical sensorimotor areas. The strategy was tested across 16 healthy volunteers who engaged in an EEG/EOG brain/neural control task. Classification accuracies were compared using scalp electrodes only versus the conventional electrode placements across the scalp and face. To evaluate whether cranial muscle artifacts impede classification accuracy, participants were asked to clench their teeth during the task. We found that brain/neural classification accuracy was comparable and that clenching had no impact on classification accuracy across both conditions. Our results suggest that the proposed new strategy allows for reliable EEG/EOG-based brain/neural control, a critical prerequisite to broaden the use of noninvasive brain/neural assistive and rehabilitative technologies.

关键词

Brain–computer interfaceElectroencephalographyBiosignalComputer scienceElectrooculographyHeadsetNeurophysiologyBrain activity and meditationArtificial intelligenceNeuroscience

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