Identifying the Spectral-Based Neurophysiological Biomarkers to Detect Panic Disorder from Alpha Band Using Machine Learning Algorithms
Author:
Affiliation:
1. TOBB University of Economics and Technology,Department of Biomedical Engineering,Ankara,Turkey
2. University of Health Sciences,Department of Psychiatry Clinic,Ankara,Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10359115/10359172/10359173.pdf?arnumber=10359173
Reference14 articles.
1. EEG abnormalities in panic disorder patients: a study of symptom characteristics and pathology
2. Relaxation-induced EEG alterations in panic disorder patients
3. Quantitative EEG correlates of panic disorder
4. Fronto-lateral alpha power asymmetry in panic disorder
5. A major depressive disorder classification framework based on EEG signals using statistical, spectral, wavelet, functional connectivity, and nonlinear analysis
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