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Sonifications for eeg data analysis

TLDR
Three sonifications are presented within this paper: spectral mapping sonification, which offers a quite direct inspection of the recorded data, distance matrix sonification which allows to detect nonlinear long range correlations at high time resolution, and differential sonificationWhich summarizes the comparison of EEG measurements under different conditions for each subject.
Abstract
This paper presents techniques to render acoustic representations for EEG data. In our case, data are obtained from psycholinguistic experiments where subjects are exposed to three different conditions based on different auditory stimuli. The goal of this research is to uncover elements of neural processing correlated with high-level cognitive activity. Three sonifications are presented within this paper: spectral mapping sonification which offers a quite direct inspection of the recorded data, distance matrix sonification which allows to detect nonlinear long range correlations at high time resolution, and differential sonification which summarizes the comparison of EEG measurements under different conditions for each subject. This paper describes the techniques and presents sonification examples for experimental data.

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Journal ArticleDOI

A systematic review of mapping strategies for the sonification of physical quantities.

TL;DR: Results confirm two hypotheses formulated in a preliminary study: pitch is by far the most used auditory dimension in sonification applications, and spatial auditory dimensions are almost exclusively used to sonify kinematic quantities.
Journal ArticleDOI

Parametric orchestral sonification of EEG in real time

TL;DR: Subjects' ability to perform a discrimination task with parametric sonification in real time is studied.

Supplementary Material for "Event-based sonification of EEG rhythms in real time"

TL;DR: In this article, an event-based sonification was proposed to detect and identify different types of EEE events in real time and can be used to complement visual displays in monitoring and EEG feedback tasks.
Journal ArticleDOI

Event-based sonification of EEG rhythms in real time

TL;DR: The proposed event-based sonification allows quick detection and identification of different types of rhythmic EEE events in real time and can thus be used to complement visual displays in monitoring and EEG feedback tasks.
Journal ArticleDOI

Sonification and textification: Proposing methods for classifying unspoken words from EEG signals

TL;DR: Whether these techniques can help to do a better discrimination or to highlight patterns, and which of the two methods performs better in order to improve classification results of unspoken words is analyzed.
References
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Electroencephalography: Basic Principles, Clinical Applications and Related Fields, Fourth Edition

TL;DR: Historical aspects introduction to the neurophysiological basis of the EEG and DC potentials cellular substrates of spontaneous and evoked brain rhythms dynamics of EEG as signals and neuronal populations are introduced.
Book

Electroencephalography: Basic Principles, Clinical Applications, and Related Fields

TL;DR: The main thrust of Electroencephalography is to preserve the sound basis of classic EEG recording and reading and, on the other hand, to present the newest developments for future EEG/neurophysiology research, especially in view of the highest brain functions as mentioned in this paper.
Journal ArticleDOI

EEG coherence within the 13-18 Hz band as a correlate of a distinct lexical organisation of concrete and abstract nouns in humans.

TL;DR: Results indicate that the alpha 1-band reflects cognitive processes that were common to both word classes, whereas the beta 1- band seems to be closely related to associative processes and more complex cognitive functions.
Journal ArticleDOI

EEG analysis in a telemedical virtual world

TL;DR: A telemedical EEG analysis environment based on virtual reality technologies, where the same EEG signal/recording could be viewed either as a waveform or as animated topographic maps on a 3D head model.
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