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Coherence-Based Complex Network Analysis of Absence Seizure EEG Signals.

, , , , and . Quantifying and Processing Biomedical and Behavioral Signals, volume 103 of Smart Innovation, Systems and Technologies, Springer, (2019)

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Differentiating Interictal and Ictal States in Childhood Absence Epilepsy through Permutation Rényi Entropy., , , and . Entropy, 17 (7): 4627-4643 (2015)Real-Time Decoding of Attentional States Using Closed-Loop EEG Neurofeedback., , , and . Neural Comput., 33 (4): 967-1004 (2021)Correlation between intra- and extracranial background EEG., , , , , and . EMBC, page 5198-5201. IEEE, (2012)Coherence-Based Complex Network Analysis of Absence Seizure EEG Signals., , , , and . Quantifying and Processing Biomedical and Behavioral Signals, volume 103 of Smart Innovation, Systems and Technologies, Springer, (2019)Learning Vector Quantization and Permutation Entropy to analyse epileptic electroencephalography., , , , , and . IJCNN, page 1-6. IEEE, (2015)EEG Headset Evaluation for Detection of Single-Trial Movement Intention for Brain-Computer Interfaces., , , , and . Sensors, 20 (10): 2804 (2020)Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture., , , , , , , , and . IJCNN, page 1-8. IEEE, (2015)Quantifying the Complexity of Epileptic EEG., , , , , and . Advances in Neural Networks, volume 54 of Smart Innovation, Systems and Technologies, Springer, (2016)