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A novel direct feature-based seizure detector: Using the entropy of degree distribution of epileptic EEG signals.

, , , and . APSIPA, page 1-4. IEEE, (2013)

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The Feature Extraction Method of EEG Signals Based on Degree Distribution of Complex Networks from Nonlinear Time Series., , , and . ICIC (1), volume 7995 of Lecture Notes in Computer Science, page 354-361. Springer, (2013)Seizure Detection in Clinical EEG Based on Entropies and EMD., , , and . ISNN (2), volume 7952 of Lecture Notes in Computer Science, page 323-330. Springer, (2013)Low-Complexity Direction Finding Method for MIMO Radar Based on Compressive Sensing., and . MED, page 838-843. IEEE, (2020)A novel direct feature-based seizure detector: Using the entropy of degree distribution of epileptic EEG signals., , , and . APSIPA, page 1-4. IEEE, (2013)A New Adaptive High-Order Unscented Kalman Filter for Improving the Accuracy and Robustness of Target Tracking., and . IEEE Access, (2019)Subtraction of Ocular and Line Artifacts from Mental EEG based on ICA., , , and . ISDA (2), page 493-496. IEEE Computer Society, (2006)Epileptic Seizure Detection with an End-to-End Temporal Convolutional Network and Bidirectional Long Short-Term Memory Model., , , , , , and . Int. J. Neural Syst., 34 (3): 2450012:1-2450012:16 (March 2024)Emotion-based Hierarchical Reinforcement Learning., and . HIS, volume 105 of Frontiers in Artificial Intelligence and Applications, page 951-960. IOS Press, (2003)Epileptic Seizure Detection Using Lacunarity and Bayesian Linear Discriminant Analysis in Intracranial EEG., , , and . IEEE Trans. Biomed. Eng., 60 (12): 3375-3381 (2013)Epileptic Seizure Prediction Using Spatiotemporal Feature Fusion on EEG., , , , , , and . Int. J. Neural Syst., 34 (8): 2450041:1-2450041:18 (August 2024)