Methods for classifying depression in single channel EEG using linear and nonlinear signal analysis

Research article (Computer Methods and Programs in Biomedicine, 2017) · cited 228× · AI/ML
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Methods for classifying depression in single channel EEG using linear and nonlinear signal analysis

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Methods for classifying depression in single channel EEG using linear and nonlinear signal analysis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Methods for classifying depression in single channel EEG using linear and nonlinear signal analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/methods-for-classifying-depression-in-single-channel-eeg-using-linear-and-nonlinear-signal-analysis
MLA “Methods for classifying depression in single channel EEG using linear and nonlinear signal analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/methods-for-classifying-depression-in-single-channel-eeg-using-linear-and-nonlinear-signal-analysis.
BibTeX @misc{4ortxyz_methods-for-classifying-depression-in-single-channel-eeg-using-linear-and-nonlinear-signal-analysis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Methods for classifying depression in single channel EEG using linear and nonlinear signal analysis}}, year = {2026}, url = {https://4ort.xyz/entity/methods-for-classifying-depression-in-single-channel-eeg-using-linear-and-nonlinear-signal-analysis}, note = {Accessed: 2026-05-24}}
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