Time frequency images and curves sorted by power or dB versus time are the main constituents of the EEG information. Therefore, video tutorials, links, manuals or paper-based suggestions as well as webinars are needed.
To quickly analyse EEG data into FFT, ERSP, and Time-Frequency images, you can use the following tools and resources:
EEGLAB: An open-source MATLAB toolbox for processing and visualizing EEG data, including time-frequency analysis functions. Video tutorials are available on YouTube.
MNE-Python: A software package for processing and analysing MEG and EEG data. Video tutorials on using MNE-Python for EEG and MEG data analysis and visualisation are available on YouTube.
Books: 'Analysing Neural Time Series Data: Theory and Practice' and 'EEG Signal Processing and Machine Learning' provide comprehensive guides on EEG data analysis.
MATLAB tutorials: Video tutorials on EEG signal analysis using MATLAB are available on YouTube.