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Nonlinear and chaos features over EMD/VMD decomposition methods for ictal EEG signals detection

Research article (Computer Methods in Biomechanics & Biomedical Engineering, 2023) · cited 20× · AI/ML
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Nonlinear and chaos features over EMD/VMD decomposition methods for ictal EEG signals detection

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Nonlinear and chaos features over EMD/VMD decomposition methods for ictal EEG signals detection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Nonlinear and chaos features over EMD/VMD decomposition methods for ictal EEG signals detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/nonlinear-and-chaos-features-over-emd-vmd-decomposition-methods-for-ictal-eeg-signals-detection
MLA “Nonlinear and chaos features over EMD/VMD decomposition methods for ictal EEG signals detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/nonlinear-and-chaos-features-over-emd-vmd-decomposition-methods-for-ictal-eeg-signals-detection.
BibTeX @misc{4ortxyz_nonlinear-and-chaos-features-over-emd-vmd-decomposition-methods-for-ictal-eeg-signals-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Nonlinear and chaos features over EMD/VMD decomposition methods for ictal EEG signals detection}}, year = {2026}, url = {https://4ort.xyz/entity/nonlinear-and-chaos-features-over-emd-vmd-decomposition-methods-for-ictal-eeg-signals-detection}, note = {Accessed: 2026-05-24}}
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