Integrated deep learning and supervised machine learning model for predictive fetal monitoring

V Gude, S Corns - Diagnostics, 2022 - mdpi.com
Asphyxiation associated with metabolic acidosis is one of the common causes of fetal
deaths. The paper aims to develop a feature extraction and prediction algorithm capable of …

Fetal electrocardiogram signal extraction based on fast independent component analysis and singular value decomposition

J Hao, Y Yang, Z Zhou, S Wu - Sensors, 2022 - mdpi.com
Fetal electrocardiograms (FECGs) provide important clinical information for early diagnosis
and intervention. However, FECG signals are extremely weak and are greatly influenced by …

Extracting Fetal ECG Signals Through a Hybrid Technique Utilizing Two Wavelet-Based Denoising Algorithms

P Darsana, VN Kumar - IEEE Access, 2023 - ieeexplore.ieee.org
Developing an intelligent technique for fetal heartbeat detection to monitor the cardiac
function of the fetus in the initial stages of pregnancy is crucial. In this research work, two …

Accurate fetal QRS-complex classification from abdominal electrocardiogram using deep learning

A Darmawahyuni, B Tutuko, S Nurmaini… - International Journal of …, 2023 - Springer
Fetal heart monitoring during pregnancy plays a critical role in diagnosing congenital heart
disease (CHD). A noninvasive fetal electrocardiogram (fECG) provides additional clinical …

Nature inspired method for noninvasive fetal ECG extraction

A Raj, J Brablik, R Kahankova, R Jaros, K Barnova… - Scientific Reports, 2022 - nature.com
This paper introduces a novel algorithm for effective and accurate extraction of non-invasive
fetal electrocardiogram (NI-fECG). In NI-fECG based monitoring, the useful signal is …

[HTML][HTML] Adopting artificial intelligence algorithms for remote fetal heart rate monitoring and classification using wearable fetal phonocardiography

R Abburi, I Hatai, R Jaros, R Martinek, TA Babu… - Applied Soft …, 2024 - Elsevier
Fetal phonocardiography (FPCG) is a non-invasive Fetal Heart Rate (FHR) monitoring
technique that can detect vibrations and murmurs in heart sounds. However, acquiring fetal …

Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ model

A Rahman, S Mahmud, MEH Chowdhury… - … Applications of Artificial …, 2023 - Elsevier
Fetal heart monitoring and early disease detection using non-invasive fetal
electrocardiograms (fECG) can help substantially to reduce infant death through improved …

Gender of Fetus Identification Using Modified Mel-Frequency Cepstral Coefficients Based on Fractional Discrete Cosine Transform

MM Azmy - IEEE Access, 2024 - ieeexplore.ieee.org
Fetal heart sounds is measured to follow the developing status of fetus. The used database
of fetal heart sounds is obtained from Physionet challenge. In this paper, novel models are …

Complexity Analysis in the PR, QT, RR and ST Segments of ECG for Early Assessment of Severity in Cardiac Autonomic Neuropathy

S Senthamil Selvan, SP Arjunan, R Swaminathan… - Applied Sciences, 2022 - mdpi.com
Early-stage detection of cardiac autonomic neuropathy (CAN) is important for better
management of the disease and prevents hospitalization. This study has investigated the …

[PDF][PDF] A signal quality assessment method for fetal QRS complexes detection

W Zhong, L Mao, W Du - Math. Biosci. Eng., 2023 - aimspress.com
Objective: Non-invasive fetal ECG (NI-FECG) provides a non-invasive method to monitor the
health of the fetus. However, the NI-FECG is easily interfered by noise, which makes the …