EEG Data Augmentation Method Based on the Gaussian Mixture Model

EEG Data Augmentation Method Based on the Gaussian Mixture Model

Traditional EEG data augmentation methods may alter the spatiotemporal characteristic distribution of brain electrical signals. This paper proposes a new method based on the Gaussian Mixture Model (GMM): First, we use the GMM to decompose data samples of the same category to obtain Gaussian coeffici...

Full description

Saved in:
Bibliographic Details
Main Authors: Chuncheng Liao, Shiyu Zhao, Xiangcun Wang, Jiacai Zhang, Yongzhong Liao, Xia Wu
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Mathematics
Subjects:
EEG
Gaussian mixture model
spatiotemporal
brain–computer interface (BCI)
data augmentation
Online Access:https://www.mdpi.com/2227-7390/13/5/729
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2227-7390/13/5/729

Similar Items