2025-02-22T01:25:28-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-265099%22&qt=morelikethis&rows=5
2025-02-22T01:25:28-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-265099%22&qt=morelikethis&rows=5
2025-02-22T01:25:28-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-22T01:25:28-05:00 DEBUG: Deserialized SOLR response
1D модель CNN для діагностики ЕКГ на кількох класифікаторах

1D модель CNN для діагностики ЕКГ на кількох класифікаторах

One of the main reasons for human death is diseases caused by the heart. Detecting heart diseases in the early stage can stop heart failure or any damage related to the heart muscle. One of the main signals that can be beneficial in the diagnosis of diseases of the heart is the electrocardiogram (EC...

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Bibliographic Details
Main Authors: Bassiouni, Mahmoud, Hegazy, Islam, Rizk, Nouhad, El-Dahshan, El-Sayed, Salem, Abdelbadeeh
Format: Article
Language:English
Published: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2022
Subjects:
Electrocardiogram (ECG)
Continuous wavelet transform (CWT)
1D convolutional neural network (CNN) model
електрокардіограма (ECG)
безперервне вейвлет-перетворення (CWT)
одновимірна модель згорткової нейронної мережі (CNN)
Online Access:http://journal.iasa.kpi.ua/article/view/265099
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http://journal.iasa.kpi.ua/article/view/265099

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