使用EEG数据识别发作的机器和深度学习方法:系统性审查

Raja Mourad1, Ahmad Diab2, Zaher Merhi2

  • 1Univ Rennes, Inserm, LTSI - UMR 1099, F-35000 Rennes, France; Signal Processing, Computer Hardware, Signals and Control Systems, Lebanese International University LIU, Tripoli, Lebanon; Signal Processing, Computer Hardware, Signals and Control Systems, International University of Beirut BIU, Beirut, Lebanon.

Brain research
|June 25, 2025
PubMed
概括

机器学习和深度学习提供自动化解决方案,用于从EEG数据中检测,分类和预测发作 (ES). 本综述综合了最近的进展,以提高这些人工智能驱动的发作识别系统的可靠性和临床应用.