EEG 4 classes
4 papers with code • 2 benchmarks • 1 datasets
Most implemented papers
Physics-inform attention temporal convolutional network for EEG-based motor imagery classification
In this paper, we propose an attention-based temporal convolutional network (ATCNet) for EEG-based motor imagery classification.
Subject-Aware Contrastive Learning for Biosignals
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
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
In BCI applications, the ElectroEncephaloGraphy is a very popular measurement for brain dynamics because of its non-invasive nature.