Application of deep learning on classification of disorders of consciousness based on EEG frequency-domain features.
Zicheng GaoMeili LuZhaohua GuoPublished in: EITCE (2023)
Keyphrases
- frequency domain
- feature extraction
- deep learning
- unsupervised feature learning
- spatial domain
- eeg signals
- fourier transform
- feature vectors
- feature space
- feature set
- machine learning
- restricted boltzmann machine
- denoising
- pattern recognition
- image features
- spectral features
- image classification
- subband
- decision trees
- power spectral
- unsupervised learning
- object detection
- pairwise
- computer vision
- wavelet transform
- training set
- multiscale
- high quality
- feature selection