[HTML][HTML] An IoMT enabled deep learning framework for automatic detection of fetal QRS: A solution to remote prenatal care

AJD Krupa, S Dhanalakshmi, KW Lai, Y Tan… - Journal of King Saud …, 2022 - Elsevier
The amalgamation of the Internet of medical things with artificial intelligence shows
tremendous benefits in health care. Accurate detection of the fetal QRS complex is highly …

Analysis on population-based algorithm optimized filter for non-invasive fECG extraction

L Kong, S Mirjalili, V Snášel, JS Pan, A Raj… - Applied Soft …, 2023 - Elsevier
Metaheuristic algorithms (MAs) have become one of the primary tools for optimization in
diverse domains, including non-invasive fetal electrocardiogram (fECG) extraction …

Fetal heart rate estimation using fractional Fourier transform and wavelet analysis

AJD Krupa, S Dhanalakshmi, NL Sanjana… - Biocybernetics and …, 2021 - Elsevier
Objective Monitoring fetal cardiac activity during pregnancy is a critical part of assessing the
fetus's health. Non-invasive fetal electrocardiogram (NIFECG) is a safe emerging fetal …

Fetal ECG extraction using short time Fourier transform and generative adversarial networks

W Zhong, W Zhao - Physiological measurement, 2021 - iopscience.iop.org
Objective. Fetal ECG (FECG) plays an important role in fetal monitoring. However, the
abdominal ECG (AECG) recorded at the maternal abdomen is affected by various noises …

[HTML][HTML] An optimized hybrid methodology for non-invasive fetal electrocardiogram signal extraction and monitoring

T Lampros, K Kalafatakis, N Giannakeas… - Array, 2023 - Elsevier
Background and objective Electronic fetal heart monitoring is currently used during
pregnancy throughout most of the developed world to detect risk conditions for both the …

Deep learning with fetal ECG recognition

W Zhong, J Luo, W Du - Physiological Measurement, 2023 - iopscience.iop.org
Objective. Independent component analysis (ICA) is widely used in the extraction of fetal
ECG (FECG). However, the amplitude, order, and positive or negative values of the ICA …

[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 …

A comparative analysis of various detection and classification modalities for Alzheimer's disease diagnosis

A Baidya, S Chouthai, S Negi, AJD Krupa… - AIP Conference …, 2023 - pubs.aip.org
Alzheimer's disease is a very serious neurological disorder. It not only causes dimensioning
brain tissues but leads to a memory loss which is almost incurable after a certain stage. Due …

Heart disease classification using PCG by employing modern statistical analysis and machine learning algorithms

T Maddherla, RK Behera, KVJ Raman… - AIP Conference …, 2023 - pubs.aip.org
There has been an alarmingly high mortality rate because of cardiovascular diseases since
the past few years and some innovative research has been done by scientists and research …

[PDF][PDF] Fractional order Butterworth filter for fetal electrocardiographic signal feature extraction

HM Alkanfery, IM Mehedi - Signal Image Process.: Int. J, 2021 - researchgate.net
ABSTRACT The non-invasive Fetal Electrocardiogram (FECG) signal has become a
significant method for monitoring the fetus's physiological conditions, extracted from the …