267 research outputs found
Multi-channel Sonification of Human EEG
No full textBaier G, Hermann T, Stephani U. Multi-channel Sonification of Human EEG. In: Martens WL, ed. Proceedings of the 13th International Conference on Auditory Display. Montreal, Canada: Schulich School of Music, McGill University; 2007: 491-496.The electroencephalogram (EEG) provides a diagnostically important stream of multivariate data of the activity of the human brain. Various EEG sonification strategies have been proposed but auditory space has rarely been used to give cues about the location of specific events. Here we introduce a multivariate event-based sonification that, in addition to displaying salient rhythms, uses pitch and spatial location to provide such cues. Using clinical recordings with epileptic seizures we demonstrate how the spatio-temporal characteristics of EEG rhythms can be perceived in such sonifications
Supplementary Material for "The Sonification of Rhythms in Human Electroencephalogram"
No full textBaier G, Hermann T. Supplementary Material for "The Sonification of Rhythms in Human Electroencephalogram". Bielefeld University; 2004.We use sonification of temporal information extracted from scalp EEG to characterize the dynamic properties of rhythms in certain frequency bands. Sonification proves particularly useful in the simultaneous monitoring of several EEG channels. Our results suggest sonification as an important tool in the analysis of multivariate data with subtle correlation differences
Supplementary Material for "Die Sonifikation des menschlichen EEG"
No full textHermann T, Baier G. Supplementary Material for "Die Sonifikation des menschlichen EEG". Bielefeld University; 2008.<img
src="https://pub.uni-bielefeld.de/download/2698669/2702943"
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Dieser Artikel stellt vor, wie Sonifikation eine neuartige Wahrnehmung gesunder und krankhafter Körperrhythmen ermöglicht. Dies wird am Beispiel von EEG-Rhythmen gezeigt. Das Bild zeigt das zeitliche Signal einer EEG-Elektrode (oben). den aus den multivariaten Daten berechneten Klang (Sonifikation, als Signal, mitte) und das Spektrogramm. Die Veränderung des Rhythmus wird hörbar
Self-organised transients in a neural mass model of epileptogenic tissue dynamics
No full textStimulation of human epileptic tissue can induce rhythmic, self-terminating responses on the EEG or ECoG. These responses play a potentially important role in localising tissue involved in the generation of seizure activity, yet the underlying mechanisms are unknown. However, in vitro evidence suggests that self-terminating oscillations in nervous tissue are underpinned by non-trivial spatio-temporal dynamics in an excitable medium. In this study, we investigate this hypothesis in spatial extensions to a neural mass model for epileptiform dynamics. We demonstrate that spatial extensions to this model in one and two dimensions display propagating travelling waves but also more complex transient dynamics in response to local perturbations. The neural mass formulation with local excitatory and inhibitory circuits, allows the direct incorporation of spatially distributed, functional heterogeneities into the model. We show that such heterogeneities can lead to prolonged reverberating responses to a single pulse perturbation, depending upon the location at which the stimulus is delivered. This leads to the hypothesis that prolonged rhythmic responses to local stimulation in epileptogenic tissue result from repeated self-excitation of regions of tissue with diminished inhibitory capabilities. Combined with previous models of the dynamics of focal seizures this macroscopic framework is a first step towards an explicit spatial formulation of the concept of the epileptogenic zone. Ultimately, an improved understanding of the pathophysiologic mechanisms of the epileptogenic zone will help to improve diagnostic and therapeutic measures for treating epilepsy
Die Sonifikation des menschlichen EEG
No full textHermann T, Baier G. Die Sonifikation des menschlichen EEG. In: Polzer BO, ed. Katalog: Wien Modern 2008. Wien, Austria: Verein Wien modern; 2008: 25-27.Dieser Artikel stellt vor, wie Sonifikation eine neuartige Wahrnehmung gesunder und krankhafter Körperrhythmen ermöglicht. Dies wird am Beispiel von EEG-Rhythmen gezeigt. Das Bild zeigt das zeitliche Signal einer EEG-Elektrode (oben). den aus den multivariaten Daten berechneten Klang (Sonifikation, als Signal, mitte) und das Spektrogramm. Die Veränderung des Rhythmus wird hörbar
The Sonification of Rhythms in Human Electroencephalogram
No full textBaier G, Hermann T. The Sonification of Rhythms in Human Electroencephalogram. In: Barrass S, Vickers P, eds. Proceedings of the International Conference on Auditory Display. Sydney, Australia: ICAD; 2004.We use sonification of temporal information extracted from scalp EEG to characterize the dynamic properties of rhythms in certain frequency bands. Sonification proves particularly useful in the simultaneous monitoring of several EEG channels. Our results suggest sonification as an important tool in the analysis of multivariate data with subtle correlation differences
Supplementary Material for "Sonification of the Human EEG"
No full textHermann T, Baier G. Supplementary Material for "Sonification of the Human EEG". Bielefeld University; 2013.<img
src="https://pub.uni-bielefeld.de/download/2694807/2702613"
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This chapter summarizes the ideas, techniques, and potential application domains of the sonification of the human electroencephalogram (EEG). We start by explaining why sonification is a particularly promising tool to understand EEG data; then we review early uses of sound for the investigation of the electric brain activity, followed by a design-oriented explanation of different techniques for sonifying EEG data, many of which have been introduced by the authors. We supply sonification examples on an accompanying Web site so that the information content and aesthetics of the sonifications can be directly perceived.1 Finally, we give an outlook on how EEG sonification can change clinical procedures in the near future, focusing particularly on the potential of interactive sonification
Multivariate Sonification of Epileptic Rhythms for Real-Time Applications
No full textBaier G, Hermann T, Stephani U. Multivariate Sonification of Epileptic Rhythms for Real-Time Applications. American Epilepsy Society annual meeting abstracts. 2006: 1.002.Auditory displays present a new platform to represent complex data sets. They provide efficient information about data features, for example, when monitoring or interacting with multivariate time series. The human auditory sense seems to be particularly optimized for the detection and interpretation of multiple rhythmic events in real time, which may be of practical importance in the context of the epileptic EEG
Polyrhythm in the Human Brain
No full textHermann T, Baier G, Müller M. Polyrhythm in the Human Brain. In: Barrass S, ed. Listening to the Mind Listening - Concert of Sonifications at the Sydney Opera House. Sydney, Australia: ICAD; 2004.Three complementary methods are used to analyze the dynamics of multivariate EEG data obtained from a human listening to a piece of music. The analysis yields parameters for a data sonification that conserves temporal and frequency relationships as well as wave intensities of the data. Multiple events taking place on different time scales are combined to a polyrhythmic display in real time
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