Investigating the Impact of Rational Dilated Wavelet Transform on Motor Imagery EEG Decoding with Deep Learning Models
Fuente:
arXiv
Saved in:
| Main Authors: | Siino, Marco, Bonomo, Giuseppe, Sorbello, Rosario, Tinnirello, Ilenia |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RatioWaveNet: A Learnable RDWT Front-End for Robust and Interpretable EEG Motor-Imagery Classification
by: Siino, Marco, et al.
Published: (2025)
by: Siino, Marco, et al.
Published: (2025)
Motor Imagery Classification for Asynchronous EEG-Based Brain-Computer Interfaces
by: Wu, Huanyu, et al.
Published: (2024)
by: Wu, Huanyu, et al.
Published: (2024)
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification
by: Lim, Galvin Brice S., et al.
Published: (2025)
by: Lim, Galvin Brice S., et al.
Published: (2025)
Feature Reweighting for EEG-based Motor Imagery Classification
by: Lotey, Taveena, et al.
Published: (2023)
by: Lotey, Taveena, et al.
Published: (2023)
NeuroPath: Practically Adopting Motor Imagery Decoding through EEG Signals
by: Cao, Jiani, et al.
Published: (2026)
by: Cao, Jiani, et al.
Published: (2026)
EEG-based AI-BCI Wheelchair Advancement: Hybrid Deep Learning with Motor Imagery for Brain Computer Interface
by: Thapa, Bipul, et al.
Published: (2025)
by: Thapa, Bipul, et al.
Published: (2025)
EEGEncoder: Advancing BCI with Transformer-Based Motor Imagery Classification
by: Liao, Wangdan, et al.
Published: (2024)
by: Liao, Wangdan, et al.
Published: (2024)
Transformer-based EEG Decoding: A Survey
by: Zhang, Haodong, et al.
Published: (2025)
by: Zhang, Haodong, et al.
Published: (2025)
HCFT: Hierarchical Convolutional Fusion Transformer for EEG Decoding
by: Zhang, Haodong, et al.
Published: (2026)
by: Zhang, Haodong, et al.
Published: (2026)
A Domain-Informed Multi-Objective Framework for EEG Channel Selection in Motor Imagery BCIs
by: Kumar, Dekka Muni, et al.
Published: (2026)
by: Kumar, Dekka Muni, et al.
Published: (2026)
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces
by: Jia, Tianwang, et al.
Published: (2024)
by: Jia, Tianwang, et al.
Published: (2024)
TFOC-Net: A Short-time Fourier Transform-based Deep Learning Approach for Enhancing Cross-Subject Motor Imagery Classification
by: Habashi, Ahmed G., et al.
Published: (2025)
by: Habashi, Ahmed G., et al.
Published: (2025)
CSP-Net: Common Spatial Pattern Empowered Neural Networks for EEG-Based Motor Imagery Classification
by: Jiang, Xue, et al.
Published: (2024)
by: Jiang, Xue, et al.
Published: (2024)
Dual-TSST: A Dual-Branch Temporal-Spectral-Spatial Transformer Model for EEG Decoding
by: Li, Hongqi, et al.
Published: (2024)
by: Li, Hongqi, et al.
Published: (2024)
Efficient Transformer-Integrated Deep Neural Architectures for Robust EEG Decoding of Complex Visual Imagery
by: Kwon, Byoung-Hee
Published: (2025)
by: Kwon, Byoung-Hee
Published: (2025)
BDAN: Mitigating Temporal Difference Across Electrodes in Cross-Subject Motor Imagery Classification via Generative Bridging Domain
by: Chen, Zhige, et al.
Published: (2024)
by: Chen, Zhige, et al.
Published: (2024)
Decoding Fatigue Levels of Pilots Using EEG Signals with Hybrid Deep Neural Networks
by: Lee, Dae-Hyeok, et al.
Published: (2024)
by: Lee, Dae-Hyeok, et al.
Published: (2024)
Fusion of Spatio-Temporal and Multi-Scale Frequency Features for Dry Electrodes MI-EEG Decoding
by: Gong, Tianyi, et al.
Published: (2026)
by: Gong, Tianyi, et al.
Published: (2026)
EEG-X: Device-Agnostic and Noise-Robust Foundation Model for EEG
by: Foumani, Navid Mohammadi, et al.
Published: (2025)
by: Foumani, Navid Mohammadi, et al.
Published: (2025)
AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding
by: Chen, Xiaoqing, et al.
Published: (2025)
by: Chen, Xiaoqing, et al.
Published: (2025)
Hierarchic-EEG2Text: Assessing EEG-To-Text Decoding across Hierarchical Abstraction Levels
by: Sharma, Anupam, et al.
Published: (2026)
by: Sharma, Anupam, et al.
Published: (2026)
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface
by: Bian, Sizhen, et al.
Published: (2024)
by: Bian, Sizhen, et al.
Published: (2024)
Spatial-Temporal Mamba Network for EEG-based Motor Imagery Classification
by: Yang, Xiaoxiao, et al.
Published: (2024)
by: Yang, Xiaoxiao, et al.
Published: (2024)
SpecMoE: Spectral Mixture-of-Experts Foundation Model for Cross-Species EEG Decoding
by: Darankoum, Davy, et al.
Published: (2026)
by: Darankoum, Davy, et al.
Published: (2026)
A Unified SPD Token Transformer Framework for EEG Classification: Systematic Comparison of Geometric Embeddings
by: Chen, Chi-Sheng, et al.
Published: (2026)
by: Chen, Chi-Sheng, et al.
Published: (2026)
A Multimodal fNIRS-EEG Dataset for Unilateral Limb Motor Imagery
by: Feng, Lufeng, et al.
Published: (2026)
by: Feng, Lufeng, et al.
Published: (2026)
Dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model
by: Kim, Sung-Jin, et al.
Published: (2024)
by: Kim, Sung-Jin, et al.
Published: (2024)
Real-time classification of EEG signals using Machine Learning deployment
by: Chowdhuri, Swati, et al.
Published: (2024)
by: Chowdhuri, Swati, et al.
Published: (2024)
Decoding Emotions From Brainwaves: The Impact of Wavelets and Overlap on EEG‐Based Emotion Classification
by: A. Jarillo-Silva, et al.
Published: (2026)
by: A. Jarillo-Silva, et al.
Published: (2026)
Revisiting Euclidean Alignment for Transfer Learning in EEG-Based Brain-Computer Interfaces
by: Wu, Dongrui
Published: (2025)
by: Wu, Dongrui
Published: (2025)
PAT: Privacy-Preserving Adversarial Transfer for Accurate, Robust and Privacy-Preserving EEG Decoding
by: Chen, Xiaoqing, et al.
Published: (2024)
by: Chen, Xiaoqing, et al.
Published: (2024)
Decoding Human Emotions: Analyzing Multi-Channel EEG Data using LSTM Networks
by: Sateesh, Shyam K, et al.
Published: (2024)
by: Sateesh, Shyam K, et al.
Published: (2024)
EEG-DBNet: A Dual-Branch Network for Temporal-Spectral Decoding in Motor-Imagery Brain-Computer Interfaces
by: Lou, Xicheng, et al.
Published: (2024)
by: Lou, Xicheng, et al.
Published: (2024)
M3D: Manifold-based Domain Adaptation with Dynamic Distribution for Non-Deep Transfer Learning in Cross-subject and Cross-session EEG-based Emotion Recognition
by: Luo, Ting, et al.
Published: (2024)
by: Luo, Ting, et al.
Published: (2024)
MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification
by: Autthasan, Phairot, et al.
Published: (2024)
by: Autthasan, Phairot, et al.
Published: (2024)
Clinically Calibrated Machine Learning Benchmarks for Large-Scale Multi-Disorder EEG Classification
by: Samanta, Argha Kamal, et al.
Published: (2025)
by: Samanta, Argha Kamal, et al.
Published: (2025)
MPNet: A Robust and Efficient Manifold Pooling Network for Multi-Rhythm EEG Signal Decoding
by: Cai, Guoqing, et al.
Published: (2026)
by: Cai, Guoqing, et al.
Published: (2026)
Graph-Based Learning of Spectro-Topographical EEG Representations with Gradient Alignment for Brain-Computer Interfaces
by: Angkan, Prithila, et al.
Published: (2025)
by: Angkan, Prithila, et al.
Published: (2025)
Cognitive Energy Modeling for Neuroadaptive Human-Machine Systems using EEG and WGAN-GP
by: Sattiraju, Sriram, et al.
Published: (2026)
by: Sattiraju, Sriram, et al.
Published: (2026)
CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding
by: Zhou, Yuchen, et al.
Published: (2025)
by: Zhou, Yuchen, et al.
Published: (2025)
Similar Items
-
RatioWaveNet: A Learnable RDWT Front-End for Robust and Interpretable EEG Motor-Imagery Classification
by: Siino, Marco, et al.
Published: (2025) -
Motor Imagery Classification for Asynchronous EEG-Based Brain-Computer Interfaces
by: Wu, Huanyu, et al.
Published: (2024) -
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification
by: Lim, Galvin Brice S., et al.
Published: (2025) -
Feature Reweighting for EEG-based Motor Imagery Classification
by: Lotey, Taveena, et al.
Published: (2023) -
NeuroPath: Practically Adopting Motor Imagery Decoding through EEG Signals
by: Cao, Jiani, et al.
Published: (2026)