Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review

By Hamdi Altaheri, G. Muhammad, M. Alsulaiman, S. Amin, G. Altuwaijri, Wadood Abdul, M. Bencherif, M. Faisal. Neural computing & applications (Print), 2021

557 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/45de8c71d3cf1c774e64759d741bbd29d307753c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Mansour Alsulaiman
2. Hamdi Altaheri
3. G. Muhammad

Citations in the corpus

• Physics-Informed Attention Temporal Convolutional Network for EEG-Based Motor Imagery Classification (2023, methodology): “3197419 of industrial applications spanning from medical applications to human augmentation [1], [2].”