Electroencephalographic spectral analysis to help detect depressive disorder

Business & Economics

• Depressive Disorder 100%
• Spectral Analysis 81%
• Electroencephalogram (EEG) 64%
• Spectral Density 55%
• Wavelets 43%
• Illness 40%
• Cross-validation 29%
• Feature Extraction 28%
• Feedforward Neural Networks 26%
• Cardiovascular Disease 25%
• Machine Learning 24%
• Classifier 21%
• Data Sources 17%
• Severity 17%
• Asymmetry 17%
• Diagnostics 17%
• Mental Health 16%
• Emotion 14%
• Malaysia 13%

Medicine & Life Sciences

• Depressive Disorder 57%
• Electroencephalography 47%
• Psychological Power 39%
• Depression 18%
• Malaysia 15%
• Machine Learning 15%
• Major Depressive Disorder 14%
• Diagnostic Errors 13%
• Information Storage and Retrieval 12%
• Emotions 10%
• Mental Health 10%
• Cardiovascular Diseases 10%
• Healthy Volunteers 9%

Engineering & Materials Science

• Spectrum analysis 56%
• Electroencephalography 53%
• Power spectral density 31%
• Feedforward neural networks 15%
• Feature extraction 10%
• Health 10%
• Machine learning 10%
• Classifiers 9%