Multi-dimensional feature extraction of EEG signal and its application in stroke classification
Abstract Feature extraction based on EEG signals and construction of classification models using machine learning methods are key to intelligent assisted diagnosis of brain diseases (such as stroke classification). However, the quality of the extracted features directly affects the classification pe...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-04756-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|