EEG emotion recognition using improved graph neural network with channel selection

This publication has 26 references indexed in Scilit:

• Recognition of emotions using multimodal physiological signals and an ensemble deep learning model
  Computer Methods and Programs in Biomedicine, 2017
• A real-time classification algorithm for EEG-based BCI driven by self-induced emotions
  Computer Methods and Programs in Biomedicine, 2015
• Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks
  IEEE Transactions on Autonomous Mental Development, 2015
• Functional brain network analysis using minimum spanning trees in Multiple Sclerosis: An MEG source-space study
  NeuroImage, 2014
• DEAP: A Database for Emotion Analysis ;Using Physiological Signals
  IEEE Transactions on Affective Computing, 2011
• Phase lag index: Assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources
  Human Brain Mapping, 2007
• Measuring phase synchrony in brain signals
  Human Brain Mapping, 1999
• Effect of Epoch Length on Power Spectrum Analysis of the EEG
  Anesthesiology, 1987
• Hemispheric lateralization of functions related to emotion
  Brain and Cognition, 1986
• Asymmetrical Brain Activity Discriminates Between Positive and Negative Affective Stimuli in Human Infants
  Science, 1982