EEG-Based Epileptic Seizure Detection via Machine/Deep Learning Approaches: A Systematic Review

• Published in: Computational intelligence and neuroscience Vol. 2022; pp. 1 - 20
• Main Authors: Ahmad, Ijaz, Wang, Xin, Zhu, Mingxing, Wang, Cheng, Pi, Yao, Khan, Javed Ali, Khan, Siyab, Samuel, Oluwarotimi Williams, Chen, Shixiong, Li, Guanglin
• Format: Journal Article
• Language: English
• Published: United States Hindawi 17.06.2022; John Wiley & Sons, Inc
• Subjects: Algorithms; Artificial intelligence; Brain research; Citation indexes; Convulsions & seizures; Criteria; Data collection; Datasets; Deep Learning; Diagnosis; Disease; EEG; Electroencephalography; Electroencephalography - methods; Environmental factors; Epilepsy; Epilepsy - diagnosis; Feature extraction; Humans; Keywords; Learning algorithms; Machine learning; Mathematical models; Nervous system diseases; Neurological diseases; R&D; Research & development; Review; Reviews; Seizures; Seizures (Medicine); Seizures - diagnosis; Signal Processing, Computer-Assisted; Statistical analysis; Statistical methods; Support Vector Machine; Systematic review; Technology application; Tomography; Workloads; China; Germany

Epileptic seizure is one of the most chronic neurological diseases that instantaneously disrupts the lifestyle of affected individuals. Toward developing novel and efficient technology for epileptic seizure management, recent diagnostic approaches have focused on developing machine/deep learning mod...