Electrocardiogram Signal Compression Using Deep Convolutional Autoencoder with Constant Error and Flexible Compression Rate

Objectives Electrocardiogram (ECG) signals are beneficial for diagnosing cardiac diseases. The cardiac patients' life quality likely increases with continuous or long-period recording and monitoring of ECG signals, leading to better and early diagnosis of disease and heart attacks. However, con...

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Vydané v:	Ingénierie et recherche biomédicale Ročník 45; číslo 6; s. 100859
Hlavní autori:	Bekiryazıcı, Tahir, Aydemir, Gürkan, Gürkan, Hakan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Masson SAS 01.12.2024
Predmet:	Convolutional autoencoder (CAE) ECG classification ECG signal compression Internal Medicine Transfer learning ECG signal compression Transfer learning Convolutional autoencoder (CAE) ECG classification transfer learning convolutional autoencoder (CAE)
ISSN:	1959-0318
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