Feature extraction from the EEG of comatose patients by global adaptive segmentation.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F99%3A00000016" target="_blank" >RIV/00023752:_____/99:00000016 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Feature extraction from the EEG of comatose patients by global adaptive segmentation.

Original language description

The objective of this study was to prepare a set of robust EEG indicators for automatic assessment of coma scales. There exists a correlation between the EEG indicators and the clinical scores in the comatose patients. One of the possible approaches to pattern recognition is the application of learning classifier. During the learning phase of the classifier tuning, the teacher provides the set of etalons, extracted from the signal, and labels them visually according to the coma depth. Such epochs can serve as the prototypes of the appropriate class. Tests showed, that the indicators of the consciousness level, such as the burst-suppression pattern, could be correctly defined. It is expected that the use of global adaptive segmentation is suitable for automatic feature extraction in coma and deep narcosis.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

FH - Neurology, neuro-surgery, nuero-sciences

OECD FORD branch

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Project

<a href="/en/project/NG14" target="_blank" >NG14: Neurophysiological indicators with respect to the vigilance level in dementia.</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

1999

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Neuroimage

ISSN

1053-8119

e-ISSN

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Volume of the periodical

10

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

1

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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