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Author

Osman Eroğul

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Open access Oct 2026

Scalogram-Based Binary Fetal Arrhythmia Classification Using ML and DL

Objectives: Fetal electrocardiography (FECG) is a valuable tool for assessing fetal health and identifying cardiac rhythm abnormalities. This study aimed to determine the convolutional neural network (CNN)-based deep learning (DL) model that provides the highest performance for binary classification of fetal arrhythmia...

Parisa Ebrahimpour Moghaddam Tasouj, Gökhan Soysal, Osman Eroğul · 0 citations

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