EEG-Based Classification of Lower Limb Motor Imagery with STFT and CNN

• Published in: Neural Information Processing Vol. 1517; pp. 397 - 404
• Main Authors: Lu, Boyang, Ge, Sheng, Wang, Haixian
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2021; Springer International Publishing
• Series: Communications in Computer and Information Science
• Subjects: Convolutional neural network; Lower limb; Short-time Fourier transform

In order to classify the brain signals of lower limb motor imagery, we used the method of short-time fourier transform (STFT) to transform the signals into time spectrum, and then processed the size and gray scale of the obtained time spectrum. Thus we constructed a neural network model called pragm...