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Fusion Convolutional Neural Network for Cross-Subject EEG Motor Imagery Classification

Brain–computer interfaces (BCIs) can help people with limited motor abilities to interact with their environment without external assistance. A major challenge in electroencephalogram (EEG)-based BCI development and research is the cross-subject classification of motor imagery data. Due to the highl...

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Principais autores: Karel Roots, Yar Muhammad, Naveed Muhammad
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2020-09-01
סדרה:Computers
נושאים:
brain–computer interface (BCI)
convolutional neural network (CNN)
deep learning
electroencephalography (EEG)
fusion network
motor imagery (MI)
גישה מקוונת:https://www.mdpi.com/2073-431X/9/3/72
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