As a non-invasive neurophysiological index for brain-computer interface（BCI）,electro-encephalogram（EEG） attracts much attention at present.In order to have a portable BCI,a simple and efficient pre-amplifier is crucial in practice.In this work,a preamplifier based on the characteristics of EEG signals is designed,which consists of a highly symmetrical input stage,low-pass filter,50 Hz notch filter and a post amplifier.A prototype of this EEG module is fabricated and EEG data are obtained through an actual experiment.The results demonstrate that the EEG preamplifier will be a promising unit for BCI in the future.
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机译：New Findings from University of Michigan Update Understanding of Networks (Adaptive Transfer Learning-based Multiscale Feature Fused Deep Convolutional Neural Network for Eeg Mi Multiclassification In Brain-computer Interface)
