Bibliographic Details
| Title: |
A Review of Processing Methods and Classification Algorithm for EEG Signal. |
| Authors: |
Yu Xie1 yu.xie@inf.unideb.hu, Oniga, Stefan1 oniga.istvan@inf.unideb.hu |
| Source: |
Carpathian Journal of Electronic & Computer Engineering. 2020, Vol. 12 Issue 3, p23-29. 7p. |
| Subjects: |
Feature extraction, Brain evolution, Biomedical signal processing, Signal processing, Deep learning, Electroencephalography |
| Abstract: |
The analysis technique of EEG signals is developing promptly with the evolution of Brain Computer-Interfaces science. The processing and classification algorithm of EEG signals includes three states: pre-processing, feature extraction and classification. The article discusses both conventional and recent processing techniques of EEG signals at the phases of preprocessing, feature extraction and classification. Finally, analyze popular research directions in the future. [ABSTRACT FROM AUTHOR] |
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Copyright of Carpathian Journal of Electronic & Computer Engineering is the property of North University Centre of Baia Mare, Electronic & Computer Engineering Dept. Engineering of Faculty and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |
