A major depressive disorder classification framework based on EEG signals using statistical, spectral, wavelet, functional connectivity, and nonlinear analysis

Research article (Journal of Neuroscience Methods, 2021) · cited 127× · AI/ML
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A major depressive disorder classification framework based on EEG signals using statistical, spectral, wavelet, functional connectivity, and nonlinear analysis

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A major depressive disorder classification framework based on EEG signals using statistical, spectral, wavelet, functional connectivity, and nonlinear analysis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A major depressive disorder classification framework based on EEG signals using statistical, spectral, wavelet, functional connectivity, and nonlinear analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-major-depressive-disorder-classification-framework-based-on-eeg-signals-using-statistical-spectral-wavelet-functional-
MLA “A major depressive disorder classification framework based on EEG signals using statistical, spectral, wavelet, functional connectivity, and nonlinear analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-major-depressive-disorder-classification-framework-based-on-eeg-signals-using-statistical-spectral-wavelet-functional-.
BibTeX @misc{4ortxyz_a-major-depressive-disorder-classification-framework-based-on-eeg-signals-using-statistical-spectral-wavelet-functional-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A major depressive disorder classification framework based on EEG signals using statistical, spectral, wavelet, functional connectivity, and nonlinear analysis}}, year = {2026}, url = {https://4ort.xyz/entity/a-major-depressive-disorder-classification-framework-based-on-eeg-signals-using-statistical-spectral-wavelet-functional-}, note = {Accessed: 2026-05-24}}
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