Descriptive measures of EEG signal with respect to hypnagogium

Title:

Descriptive measures of EEG signal with respect to hypnagogium

Creator:

Svoboda, Petr, Faber, Josef, and Tatarinov, Vladimir

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:6dd29656-05a1-4e42-bfad-d2e796d623e4
uuid:6dd29656-05a1-4e42-bfad-d2e796d623e4

Subject:

fourier transform, nonlinear analysis, state-space trajectory, attractor, embedding dimension, delay-time embedding, fractal dimension, electroencephalography (EEG), and microsleep

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

Impaired wakefulness of machine operators presents a danger not only for themselves, but often for the public at large as well. While on duty, such persons are expected to be continuously, i.e. without interruption, on the alert. For that purpose, we designed and carried out an experimental model of continuous vigilance monitoring using electroencephalography (EEG) and reaction time measured as the latency of the volunteers’ reaction to a sound stimulus. In this article, we focus on two different approaches of EEG signal analysis. Spectral analysis, which is based on linear stochastic approach, is the hrst type. On the other hand, there is nonlinear analysis formally called the chaos theory. For both methods, we will show typical markers which represent the state of the vigilance. Both methods will be compared and the outputs will be discussed.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2004 Volume:14 | Number:1

Harvested from:

CDK

Metadata only:

false