Papers EEG 4 classes
“EEG 4 classes” 태그가 달린 논문 5편 · 필터 해제
Physics-inform attention temporal convolutional network for EEG-based motor imagery classification
The brain-computer interface (BCI) is a cutting-edge technology that has the potential to change the world. Electroencephalogram (EEG) motor imagery (MI) signal has been used extensively in many BCI applications to assis…
Brain Computer InterfaceEEGEEG 4 classesEeg Decoding+20/1 Deep Neural Networks via Block Coordinate Descent
The step function is one of the simplest and most natural activation functions for deep neural networks (DNNs). As it counts 1 for positive variables and 0 for others, its intrinsic characteristics (e.g., discontinuity a…
10-shot image generation16k2D Object Detection+92Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions
Brain Computer Interface technologies are popular methods of communication between the human brain and external devices. One of the most popular approaches to BCI is Motor Imagery. In BCI applications, the ElectroEncepha…
Brain Computer InterfaceDecision MakingEEGEEG 4 classes+3Interval-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. To do so, we introduce the notion of interval-valued moderate deviation fun…
Brain Computer InterfaceDecision MakingEEG 4 classesEEG Left/Right hand+1Subject-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). To handle these challenges, we propose a self-supervised approa…
Anomaly DetectionContrastive LearningData AugmentationEEG+8