EEG signal classification of tinnitus based on SVM and sample entropy
Author:
Affiliation:
1. Jihua Institute of Biomedical Engineering and Technology, Ji Hua Laboratory, Foshan, Guangdong, China
2. School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, Guangdong, China
Funder
the Jihua Laboratory of China
the National Key Research and Development Program of China
Publisher
Informa UK Limited
Subject
Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/10255842.2022.2075698
Reference88 articles.
1. Automated diagnosis of epileptic EEG using entropies
2. Use of principal component analysis for automatic classification of epileptic EEG activities in wavelet framework
3. The Application of Electro- and Magneto-Encephalography in Tinnitus Research – Methods and Interpretations
4. The mechanisms of tinnitus: Perspectives from human functional neuroimaging
5. The absence of resting-state high-gamma cross-frequency coupling in patients with tinnitus
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