Enhanced three-dimensional visualization of EEG signals

The analysis of EEG signals is a topic of significant interest to multiple scientific and medical branches. Since these signals lack any intrinsic visual data, their graphical representation presents multiple challenges, particularly for data spanning over frequency bands and extended durations. This paper presents several techniques for the representation of such signals, using a 3D model of a human head and multiple information visualization techniques, such as color scales, spots and glyphs. The proposed representation technique conveys an intuitive, efficient means to visually inspect EEG signals, while allowing the visualization of multiple relevant parameters without visually overloading the resulting images. Comprehensive descriptions of the aforementioned techniques are provided, as well as images containing the resulting representations. This approach intends to provide easy visual access to EEG data, for use in Brain-Computer Interface, medical or educational applications.