An overview of deep learning methods for EEG time series analysis
Analyzing time series data of an electroencephalogram (EEG) is important for medicine and neuro- logical research. Due to noise and patient-specific signals it is difficult to analyze these data. Standard CNN, FNN and RNN in combination with noise filtering are… Read More »An overview of deep learning methods for EEG time series analysis