An Interpretable Convolutional Neural Network for P300 Detection: Analysis of Time Frequency Features for Limited Data
Author:
Affiliation:
1. Medical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
Funder
Vice Chancellery for Research and Technology of Isfahan University of Medical Sciences
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9766065/09733970.pdf?arnumber=9733970
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