Fetal ECG Arrhythmia Detection Based on DensNet Transfer Learning

Fetal ECG Arrhythmia Detection Based on DensNet Transfer Learning

Purpose: The mortality rate of fetuses due to heart defects is a major concern for clinicians. The fetus's heart is monitored non-invasively using the abdominal Electrocardiogram (ECG) of the mother. Most of the methods in literature diagnose fetal arrhythmia based on fetal heart rate. However...

Full description

Bibliographic Details
Main Authors: Ashutosh Singh, Rajeev Kumar Rai, Ranjeet Srivastva, Gyanendra Kumar
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2023-09-01
Series:Frontiers in Biomedical Technologies
Subjects:
Fetal ECG
Arrhythmia
Transfer Learning
DenseNet
Online Access:https://fbt.tums.ac.ir/index.php/fbt/article/view/514

Similar Items

Similar Items