EEG Left/Right hand
4 papers with code • 2 benchmarks • 1 datasets
Most implemented papers
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.
Spatial Variation Generation Algorithm for Motor Imagery Data Augmentation: Increasing the Density of Sample Vicinity
Moreover, SVG generates a uniform distribution and stabilizes the training process of models.