Classifying Routine Clinical Electroencephalograms With Multivariate Iterative Filtering and Convolutional Neural Networks

• Main Authors: Vardhan Paliwal (Author), Kritiprasanna Das (Author), Sam M. Doesburg (Author), George Medvedev (Author), Pengcheng Xi (Author), Urs Ribary (Author), Ram Bilas Pachori (Author), Vasily A. Vakorin (Author)
• Format: Book
• Published: IEEE, 2024-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Electroencephalogram (EEG) is widely used in basic and clinical neuroscience to explore neural states in various populations, and classifying these EEG recordings is a fundamental challenge. While machine learning shows promising results in classifying long multivariate time series, optimal predicti...