A method of EEG signal feature extraction based on hybrid DWT and EMD
The processing and recognition of electroencephalogram (EEG) signal is the most important part of brain-computer interface (BCI) system, and the quality of signal processing and recognition is directly related to the effectiveness of BCI system. Aiming at the problems of incomplete removal of artifa...
Saved in:
Main Authors: | Xiaozhong Geng, Linen Wang, Ping Yu, Weixin Hu, Qipeng Liang, Xintong Zhang, Cheng Chen, Xi Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-02-01
|
Series: | Alexandria Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824015278 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Neuroimaging features for cognitive fatigue and its recovery with VR intervention: An EEG microstates analysis
by: Jia-Cheng Han, et al.
Published: (2025-02-01) -
Editorial: Multimodal approaches to investigating neural dynamics in cognition and related clinical conditions: integrating EEG, MEG, and fMRI data
by: Golnaz Baghdadi, et al.
Published: (2025-02-01) -
EEG Transformer for Classifying Students’ Epistemic Cognition States in Educational Contexts
by: Rosanna Yuen-Yan Chan
Published: (2025-01-01) -
A comparative study of EEG microstate dynamics during happy and sad music videos
by: Ashish Gupta, et al.
Published: (2025-02-01) -
Harnessing the Multi-Phasal Nature of Speech-EEG for Enhancing Imagined Speech Recognition
by: Rini Sharon, et al.
Published: (2025-01-01)