Image de couverture de livre

Optimized Feature Selection and Neural Network-Based Classification of Motor Imagery Using EEG Signals

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Dip, Muhammad Sudipto Siam, Motin, Mohammod Abdul, Hasan, Md. Anik, Kabir, Sumaiya
Format:	Preprint
Publié:	2025
Sujets:	Signal Processing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

NeuroSleepNet: A Multi-Head Self-Attention Based Automatic Sleep Scoring Scheme with Spatial and Multi-Scale Temporal Representation Learning
par: Dip, Muhammad Sudipto Siam, et autres
Publié: (2024)

oboVox Far Field Speaker Recognition: A Novel Data Augmentation Approach with Pretrained Models
par: Dip, Muhammad Sudipto Siam, et autres
Publié: (2024)

TEANet: A Transpose-Enhanced Autoencoder Network for Wearable Stress Monitoring
par: Ali, Md Santo, et autres
Publié: (2025)

Feature Reweighting for EEG-based Motor Imagery Classification
par: Lotey, Taveena, et autres
Publié: (2023)

EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification
par: Aung, Htoo Wai, et autres
Publié: (2024)

Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification
par: An, Sion, et autres
Publié: (2024)

MI-BMInet: An Efficient Convolutional Neural Network for Motor Imagery Brain--Machine Interfaces with EEG Channel Selection
par: Wang, Xiaying, et autres
Publié: (2022)

Handwriting Imagery EEG Classification based on Convolutional Neural Networks
par: Yang, Hao, et autres
Publié: (2025)

CSP-Net: Common Spatial Pattern Empowered Neural Networks for EEG-Based Motor Imagery Classification
par: Jiang, Xue, et autres
Publié: (2024)

Motor Imagery EEG Signal Classification Using Minimally Random Convolutional Kernel Transform and Hybrid Deep Learning
par: Hwaidi, Jamal, et autres
Publié: (2025)

Subject-Independent Deep Architecture for EEG-based Motor Imagery Classification
par: Sartipi, Shadi, et autres
Publié: (2024)

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery
par: Liu, Yichang, et autres
Publié: (2026)

NeuroPath: Practically Adopting Motor Imagery Decoding through EEG Signals
par: Cao, Jiani, et autres
Publié: (2026)

MVCNet: Multi-View Contrastive Network for Motor Imagery Classification
par: Wang, Ziwei, et autres
Publié: (2025)

FingerNet: EEG Decoding of A Fine Motor Imagery with Finger-tapping Task Based on A Deep Neural Network
par: Go, Young-Min, et autres
Publié: (2024)

Frequency-Specific Neural Response and Cross-Correlation Analysis of Envelope Following Responses to Native Speech and Music Using Multichannel EEG Signals: A Case Study
par: Hasan, Md. Mahbub, et autres
Publié: (2025)

Classification of ADHD and Healthy Children Using EEG Based Multi-Band Spatial Features Enhancement
par: Hossain, Md Bayazid, et autres
Publié: (2025)

Research on Event-Related Desynchronization of Motor Imagery and Movement Based on Localized EEG Cortical Sources
par: Wang, Yuqing
Publié: (2025)

Parkinson Disease Detection Based on In-air Dynamics Feature Extraction and Selection Using Machine Learning
par: Shin, Jungpil, et autres
Publié: (2024)

A Single Subject Machine Learning Based Classification of Motor Imagery EEGs
par: Sanalitro, Dario, et autres
Publié: (2025)

Synthetic EEG Generation using Diffusion Models for Motor Imagery Tasks
par: Alexandre, Henrique de Lima, et autres
Publié: (2025)

EEG-DBNet: A Dual-Branch Network for Temporal-Spectral Decoding in Motor-Imagery Brain-Computer Interfaces
par: Lou, Xicheng, et autres
Publié: (2024)

Machine Learning to Detect Anxiety Disorders from Error-Related Negativity and EEG Signals
par: Chandrasekar, Ramya, et autres
Publié: (2024)

Biomedical Signal Processing: EEG and ECG Classification with Discrete Wavelet Transforms, Energy Distribution, and Convolutional Neural Networks
par: London, Justin
Publié: (2025)

Support Vector Machine for Person Classification Using the EEG Signals
par: Venkataswamy, Naveenkumar G, et autres
Publié: (2024)

Single Channel-based Motor Imagery Classification using Fisher's Ratio and Pearson Correlation
par: Baberwal, Sonal Santosh, et autres
Publié: (2024)

Improving EEG Signal Classification Accuracy Using Wasserstein Generative Adversarial Networks
par: Park, Joshua, et autres
Publié: (2024)

Classification of Induction Motor Fault and Imbalance Based on Vibration Signal Using Single Antenna's Reactive Near Field
par: Dutta, Sagar, et autres
Publié: (2025)

Signal2Image Modules in Deep Neural Networks for EEG Classification
par: Bizopoulos, Paschalis, et autres
Publié: (2019)

Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks
par: Seraphim, Mathieu, et autres
Publié: (2024)

Comprehensive Dataset and Signal Processing Framework for Phonocardiogram-Based Heart Rate and Blood Pressure Estimation
par: Mamun, Abdul Ahad, et autres
Publié: (2026)

Cognitive Inference based Feature Pyramid Network for Sentimental Analysis using EEG Signals
par: Bhardwaj, Vishesh, et autres
Publié: (2025)

Hyperdimensional Computing for ADHD Classification using EEG Signals
par: Colonnese, Federica, et autres
Publié: (2025)

Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training
par: Zoumpourlis, Georgios, et autres
Publié: (2022)

Robust Feature Engineering Techniques for Designing Efficient Motor Imagery-Based BCI-Systems
par: Gardezi, Syed Saim, et autres
Publié: (2024)

Functional Connectivity-Guided Band Selection for Motor Imagery Brain-Computer Interfaces
par: Carmo, Natália Araújo do, et autres
Publié: (2026)

MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification
par: Autthasan, Phairot, et autres
Publié: (2024)

SSTAF: Spatial-Spectral-Temporal Attention Fusion Transformer for Motor Imagery Classification
par: Muna, Ummay Maria, et autres
Publié: (2025)

ECG-Based Stress Prediction with Power Spectral Density Features and Classification Models
par: Chowdhury, Md. Mohibbul Haque, et autres
Publié: (2025)

Decoding Fatigue Levels of Pilots Using EEG Signals with Hybrid Deep Neural Networks
par: Lee, Dae-Hyeok, et autres
Publié: (2024)