A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN-Reference-Cited by-同舟云学术

A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN

Published:2024-01 Issue: Volume:235 Page:121196
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Basak Promit,Nazmus Sakib A.H.M,Chowdhury Muhammad E.H.,Al-Emadi Nasser,Cagatay Yalcin Huseyin,Pedersen Shona,Mahmud Sakib,Kiranyaz Serkan,Al-Maadeed Somaya

Funder

Qatar University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference53 articles.

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2. Recommendations for standardization and specifications in automated electrocardiography: bandwidth and digital signal processing. A report for health professionals by an ad hoc writing group of the Committee on Electrocardiography and Cardiac Electrophysiology of the Council on Clinical Cardiology, American Heart Association.

3. Hybrid methods based on empirical mode decomposition for non-invasive fetal heart rate monitoring;Barnova;IEEE Access,2020

4. System for adaptive extraction of non-invasive fetal electrocardiogram;Barnova;Applied Soft Computing,2021

5. A comparison of single channel fetal ECG extraction methods;Behar;Annals of biomedical engineering,2014

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1. Weight optimized fixed and variable step-size adaptive filters for fetal ECG extraction;Biomedical Signal Processing and Control;2024-12

2. Integrating Contrastive Learning and Cycle Generative Adversarial Networks for Non-invasive Fetal ECG Extraction;Pediatric Cardiology;2024-09-02

3. Advancing non-invasive fetal health monitoring: A time–frequency approach to extracting fetal electrocardiogram signals;Biomedical Signal Processing and Control;2024-09

4. Restoration of magnetohydrodynamic-corrupted 12-lead electrocardiogram to enhance cardiac monitoring during magnetic resonance imaging;Engineering Applications of Artificial Intelligence;2024-07

5. Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring;Expert Systems with Applications;2024-07