An improved self-supervised learning for EEG classification

An improved self-supervised learning for EEG classification

Motor Imagery EEG (MI-EEG) classification plays an important role in different Brain-Computer Interface (BCI) systems. Recently, deep learning has been widely used in the MI-EEG classification tasks, however this technology requires a large number of labeled training samples which are difficult to o...

Full description

Bibliographic Details
Main Authors:	Yanghan Ou, Siqin Sun, Haitao Gan, Ran Zhou, Zhi Yang
Format:	Article
Language:	English
Published:	AIMS Press 2022-05-01
Series:	Mathematical Biosciences and Engineering
Subjects:	self-supervised learning eeg classification representation learning motor imagery
Online Access:	https://www.aimspress.com/article/doi/10.3934/mbe.2022325?viewType=HTML

Similar Items

Self-Supervised EEG Emotion Recognition Models Based on CNN
by: Xingyi Wang, et al.
Published: (2023-01-01)

Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives
by: Paul Berg, et al.
Published: (2022-08-01)

Negative-Sample-Free Contrastive Self-Supervised Learning for Electroencephalogram-Based Motor Imagery Classification
by: In-Nea Wang, et al.
Published: (2024-01-01)

Self-Supervised Learning for Label- Efficient Sleep Stage Classification: A Comprehensive Evaluation
by: Emadeldeen Eldele, et al.
Published: (2023-01-01)

MalSSL—Self-Supervised Learning for Accurate and Label-Efficient Malware Classification
by: Setia Juli Irzal Ismail, et al.
Published: (2024-01-01)

A self-supervised fusion network for carotid plaque ultrasound image classification
by: Yue Zhang, et al.
Published: (2024-01-01)

Attentive Self-supervised Contrastive Learning (ASCL) for plant disease classification
by: Getinet Yilma, et al.
Published: (2025-03-01)

Motor Imagery Classification for Asynchronous EEG-Based Brain–Computer Interfaces
by: Huanyu Wu, et al.
Published: (2024-01-01)

The More, the Better? Evaluating the Role of EEG Preprocessing for Deep Learning Applications
by: Federico Del Pup, et al.
Published: (2025-01-01)

Separability of motor imagery of the self from interpretation of motor intentions of others at the single trial level: an EEG study
by: João Andrade, et al.
Published: (2017-06-01)

InverseTime: A Self-Supervised Technique for Semi-Supervised Classification of Time Series
by: Manuel Alejandro Goyo, et al.
Published: (2024-01-01)

Self-supervised in-domain representation learning for remote sensing image scene classification
by: Ali Ghanbarzadeh, et al.
Published: (2024-10-01)

Two-Phase Multitask Autoencoder-Based Deep Learning Framework for Subject-Independent EEG Motor Imagery Classification
by: Changgyun Jin, et al.
Published: (2024-01-01)

Motor Imagery Classification Based on EEG Sensing with Visual and Vibrotactile Guidance
by: Luka Batistić, et al.
Published: (2023-05-01)

Self-Supervised Assisted Semi-Supervised Residual Network for Hyperspectral Image Classification
by: Liangliang Song, et al.
Published: (2022-06-01)

Motor Imagery EEG Classification Using Capsule Networks
by: Kwon-Woo Ha, et al.
Published: (2019-06-01)

EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization
by: Yonghao Song, et al.
Published: (2023-01-01)

Image-Based Vehicle Classification by Synergizing Features from Supervised and Self-Supervised Learning Paradigms
by: Shihan Ma, et al.
Published: (2023-02-01)

A Sparse Multiclass Motor Imagery EEG Classification Using 1D-ConvResNet
by: Harshini Gangapuram, et al.
Published: (2023-03-01)

Transfer learning application of self-supervised learning in ARPES
by: Sandy Adhitia Ekahana, et al.
Published: (2023-01-01)

In-Domain Supervised and Contrastive Self-Supervised Representation Learning for Dense Prediction Problems in Remote Sensing Imageries
by: Ali Ghanbarzadeh, et al.
Published: (2024-01-01)

Optimizing Real-Time MI-BCI Performance in Post-Stroke Patients: Impact of Time Window Duration on Classification Accuracy and Responsiveness
by: Aleksandar Miladinović, et al.
Published: (2024-09-01)

Partial prior transfer learning based on self-attention CNN for EEG decoding in stroke patients
by: Jun Ma, et al.
Published: (2024-11-01)

hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction
by: Giulia Cisotto, et al.
Published: (2024-12-01)

Reconstructing signal during brain stimulation with Stim-BERT: a self-supervised learning model trained on millions of iEEG files
by: Karthik Menon, et al.
Published: (2025-02-01)

BiLSTM and SqueezeNet With Transfer Learning for EEG Motor Imagery Classification: Validation With Own Dataset
by: Alicia Guadalupe Lazcano-Herrera, et al.
Published: (2023-01-01)

A Self-Supervised Learning Based Channel Attention MLP-Mixer Network for Motor Imagery Decoding
by: Yanbin He, et al.
Published: (2022-01-01)

Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning
by: Aristotelis Ballas, et al.
Published: (2024-01-01)

Self-supervised audiovisual representation learning for remote sensing data
by: Konrad Heidler, et al.
Published: (2023-02-01)

Temporal and spatial self supervised learning methods for electrocardiograms
by: Wenping Chen, et al.
Published: (2025-02-01)

Self-Supervised Learning Methods for Label-Efficient Dental Caries Classification
by: Aiham Taleb, et al.
Published: (2022-05-01)

Riemannian transfer learning based on log-Euclidean metric for EEG classification
by: Fanbo Zhuo, et al.
Published: (2024-05-01)

Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning Classification
by: Marcos Loaiza-Arias, et al.
Published: (2024-12-01)

Survey of Multi-label Classification Based on Supervised and Semi-supervised Learning
by: WU Hong-xin, HAN Meng, CHEN Zhi-qiang, ZHANG Xi-long, LI Mu-hang
Published: (2022-08-01)

Supervised machine learning algorithms for brain signal classification
by: Ihab Abdulrahman Satam, et al.
Published: (2024-04-01)

Classification of Ground-Based Cloud Images by Contrastive Self-Supervised Learning
by: Qi Lv, et al.
Published: (2022-11-01)

An improved model using convolutional sliding window-attention network for motor imagery EEG classification
by: Yuxuan Huang, et al.
Published: (2023-08-01)

Subject-independent meta-learning framework towards optimal training of EEG-based classifiers
by: Ng, Han Wei, et al.
Published: (2024)

MV–MR: Multi-Views and Multi-Representations for Self-Supervised Learning and Knowledge Distillation
by: Vitaliy Kinakh, et al.
Published: (2024-05-01)

EEG-Based Mental Tasks Recognition via a Deep Learning-Driven Anomaly Detector
by: Abdelkader Dairi, et al.
Published: (2022-11-01)