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Sakr, Ahmed S., Pławiak, Paweł, Tadeusiewicz, Ryszard, Pławiak, Joanna, Sakr, Mohamed, Hammad, Mohamed (2023) ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection. Information Sciences, 619. 324-339 doi:10.1016/j.ins.2022.11.069

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Reference TypeJournal (article/letter/editorial)
TitleECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection
JournalInformation Sciences
AuthorsSakr, Ahmed S.Author
Pławiak, PawełAuthor
Tadeusiewicz, RyszardAuthor
Pławiak, JoannaAuthor
Sakr, MohamedAuthor
Hammad, MohamedAuthor
Year2023 (January)Volume619
PublisherElsevier BV
DOIdoi:10.1016/j.ins.2022.11.069Search in ResearchGate
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Mindat Ref. ID15511385Long-form Identifiermindat:1:5:15511385:7
GUID0
Full ReferenceSakr, Ahmed S., Pławiak, Paweł, Tadeusiewicz, Ryszard, Pławiak, Joanna, Sakr, Mohamed, Hammad, Mohamed (2023) ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection. Information Sciences, 619. 324-339 doi:10.1016/j.ins.2022.11.069
Plain TextSakr, Ahmed S., Pławiak, Paweł, Tadeusiewicz, Ryszard, Pławiak, Joanna, Sakr, Mohamed, Hammad, Mohamed (2023) ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection. Information Sciences, 619. 324-339 doi:10.1016/j.ins.2022.11.069
In(2023) Information Sciences Vol. 619. Elsevier BV

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