Generalizable Seizure Detection Model Using Generating Transferable Adversarial Features

• Published in: IEEE signal processing letters Vol. 28; pp. 568 - 572
• Main Authors: Nasiri, Samaneh, Clifford, Gari D.
• Format: Journal Article
• Language: English
• Published: New York IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: adversarial neural network; Algorithms; Brain modeling; Classifiers; Convulsions & seizures; Deep learning; EEG; Electrodes; Electroencephalography; Epilepsy; Feature extraction; Heterogeneity; inter-subject variability; Neurological diseases; Robustness; seizure detection; Seizures; Training; transferable features

Epilepsy is the second most common neurological disorder, affecting 65 million people around the world. It is associated with seizures - a sudden, uncontrolled electrical disturbance in the brain that can lead to profound transient changes in behavior, movements, feelings, and levels of consciousnes...