Classification of bruxism based on time-frequency and nonlinear features of single channel EEG
Abstract Background In the classification of bruxism patients based on electroencephalogram (EEG), feature extraction is essential. The method of using multi-channel EEG fusing electrocardiogram (ECG) and Electromyography (EMG) signal features has been proved to have good performance in bruxism clas...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Book |
Published: |
BMC,
2024-01-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Internet
Connect to this object online.3rd Floor Main Library
Call Number: |
A1234.567 |
---|---|
Copy 1 | Available |