[HTML][HTML] Analysis of various techniques for ECG signal in healthcare, past, present, and future
Cardiovascular diseases are the primary reason for mortality worldwide. As per WHO survey
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …
[HTML][HTML] Artificial intelligence and machine learning in electronic fetal monitoring
Electronic fetal monitoring is used to evaluate fetal well-being by assessing fetal heart
activity. The signals produced by the fetal heart carry valuable information about fetal health …
activity. The signals produced by the fetal heart carry valuable information about fetal health …
A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN
The non-invasive fetal electrocardiogram (fECG) enables easy detection of developing heart
abnormalities, leading to a significant reduction in infant mortality rate and post-natal …
abnormalities, leading to a significant reduction in infant mortality rate and post-natal …
[HTML][HTML] Optimization of adaptive filter control parameters for non-invasive fetal electrocardiogram extraction
This paper is focused on the design, implementation and verification of a novel method for
the optimization of the control parameters of different hybrid systems used for non-invasive …
the optimization of the control parameters of different hybrid systems used for non-invasive …
[HTML][HTML] Pregnancy in the time of COVID-19: towards Fetal monitoring 4.0
On the outbreak of the global COVID-19 pandemic, high-risk and vulnerable groups in the
population were at particular risk of severe disease progression. Pregnant women were one …
population were at particular risk of severe disease progression. Pregnant women were one …
[HTML][HTML] 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 …
and intervention. However, FECG signals are extremely weak and are greatly influenced by …
[HTML][HTML] The Use of Empirical Mode Decomposition on Heart Rate Variability Signals to Assess Autonomic Neuropathy Progression in Type 2 Diabetes
S Cossul, FR Andreis, MA Favretto, JLB Marques - Applied Sciences, 2023 - mdpi.com
In this study, we investigated the use of empirical mode decomposition (EMD)-based
features extracted from electrocardiogram (ECG) RR interval signals to differentiate between …
features extracted from electrocardiogram (ECG) RR interval signals to differentiate between …
Non-invasive diagnosis of fetal arrhythmia based on multi-domain feature and hierarchical extreme learning machine
J Liu, H Xu, J Wang, X Peng, C He - Biomedical Signal Processing and …, 2023 - Elsevier
Heart disease is one of the major causes of affecting the health of newborns. Detecting the
presence or potential heart disease of the fetus as soon as possible, and adopting relevant …
presence or potential heart disease of the fetus as soon as possible, and adopting relevant …
Sample point classification of abdominal ECG through CNN-Transformer model enables efficient fetal heart rate detection
Monitoring fetal heart rate (FHR) is essential for the early detection of fetal distress and
ensuring safe delivery. Direct invasive fetal electrocardiography (FECG) provides reliable …
ensuring safe delivery. Direct invasive fetal electrocardiography (FECG) provides reliable …
A new algorithm for fetal heart rate detection: Fractional order calculus approach
I Tanasković, N Miljković - Medical Engineering & Physics, 2023 - Elsevier
Objectives A new modified Pan-Tompkins'(mPT) method for fetal heart rate detection is
presented. The mPT method is based on the hypothesis that optimal fractional order …
presented. The mPT method is based on the hypothesis that optimal fractional order …