CNN classification of variance-based selected topo-maps of EEG
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F23%3A43921044" target="_blank" >RIV/00023752:_____/23:43921044 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21460/22:00364015
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
CNN classification of variance-based selected topo-maps of EEG
Original language description
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%.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ACM International Conference Proceeding Series
ISBN
978-1-4503-9686-8
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
116-122
Publisher name
Association for Computing Machinery
Place of publication
New York
Event location
Berlín
Event date
Sep 18, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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