CNN classification of variance-based selected topo-maps of EEG

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F22%3A00364015" target="_blank" >RIV/68407700:21460/22:00364015 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00023752:_____/23:43921044

Výsledek na webu

<a href="https://dl.acm.org/doi/10.1145/3569192.3569211" target="_blank" >https://dl.acm.org/doi/10.1145/3569192.3569211</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3569192.3569211" target="_blank" >10.1145/3569192.3569211</a>

Jazyk výsledku

angličtina

Název v původním jazyce

CNN classification of variance-based selected topo-maps of EEG

Popis výsledku v původním jazyce

Epileptic activity in the EEG record can manifest in different ways over time series. A classifier that would alert physicians to the possibility of different types of epileptic activity would be an effective tool. We created image data from EEG records, which we subsequently classified using the SqueezeNet network, which has a promising potential in the field of image classification based on the results so far. On patients whose data the network did not come into contact with during training and validation, we subsequently assessed the accuracy of the classification. The accuracy for each condition was around 80%

Název v anglickém jazyce

CNN classification of variance-based selected topo-maps of EEG

Popis výsledku anglicky

Epileptic activity in the EEG record can manifest in different ways over time series. A classifier that would alert physicians to the possibility of different types of epileptic activity would be an effective tool. We created image data from EEG records, which we subsequently classified using the SqueezeNet network, which has a promising potential in the field of image classification based on the results so far. On patients whose data the network did not come into contact with during training and validation, we subsequently assessed the accuracy of the classification. The accuracy for each condition was around 80%

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

ICBRA '22: Proceedings of the 9th International Conference on Bioinformatics Research and Applications

ISBN

978-1-4503-9686-8

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

116-122

Název nakladatele

Association for Computing Machinery

Místo vydání

New York

Místo konání akce

Berlin

Datum konání akce

18. 9. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—