EEG 4 classes

4 papers with code • 2 benchmarks • 1 datasets

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Most implemented papers

Physics-inform attention temporal convolutional network for EEG-based motor imagery classification

Altaheri/EEG-ATCNet IEEE Transactions on Industrial Informatics 2022

In this paper, we propose an attention-based temporal convolutional network (ATCNet) for EEG-based motor imagery classification.

Subject-Aware Contrastive Learning for Biosignals

zacharycbrown/ssl_baselines_for_biosignal_feature_extraction 30 Jun 2020

Datasets for biosignals, such as electroencephalogram (EEG) and electrocardiogram (ECG), often have noisy labels and have limited number of subjects (<100).

Interval-valued aggregation functions based on moderate deviations applied to Motor-Imagery-Based Brain Computer Interface

Fuminides/athena 19 Nov 2020

In this work we study the use of moderate deviation functions to measure similarity and dissimilarity among a set of given interval-valued data.

Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions

Fuminides/athena 18 Jan 2021

In BCI applications, the ElectroEncephaloGraphy is a very popular measurement for brain dynamics because of its non-invasive nature.