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Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods
A Ameen, IE Fattoh, T Abd El-Hafeez, K Ahmed - Journal of Big Data, 2024 - Springer
Cardiovascular diseases (CVD) have been found to be prevalent in society, frequently
ending in death. According to the findings of a recent survey, the mortality rate is increasing …
ending in death. According to the findings of a recent survey, the mortality rate is increasing …
An explainable artificial intelligence integrated system for automatic detection of dengue from images of blood smears using transfer learning
Dengue fever is a rapidly increasing mosquito-borne ailment spread by the virus DENV in
the tropics and subtropics worldwide. It is a significant public health problem and accounts …
the tropics and subtropics worldwide. It is a significant public health problem and accounts …
Hierarchical multi-scale convolutional network for murmurs detection on pcg signals
Computer-aided analysis is helpful in improving heart sound classification. PhysioNet
Challenge 2022 provides a platform for researchers to evaluate their proposed classification …
Challenge 2022 provides a platform for researchers to evaluate their proposed classification …
Enhancing cross-domain robustness in phonocardiogram signal classification using domain-invariant preprocessing and transfer learning
Background and objective: Phonocardiogram (PCG) signal analysis is a non-invasive and
cost-efficient approach for diagnosing cardiovascular diseases. Existing PCG-based …
cost-efficient approach for diagnosing cardiovascular diseases. Existing PCG-based …
[HTML][HTML] Exploring the impact of noise and degradations on heart sound classification models
The development of data-driven heart sound classification models has been an active area
of research in recent years. To develop such data-driven models in the first place, heart …
of research in recent years. To develop such data-driven models in the first place, heart …
Enhancement of phonocardiogram segmentation using convolutional neural networks with Fourier transform module
C Park, K Shin, J Seo, H Lim, GH Kim, WY Seo… - Biomedical Engineering …, 2025 - Springer
The automated identification of the first and second heart sounds (S1 and S2, respectively)
in phonocardiogram (PCG) signals plays a pivotal role in the detection of heart valve …
in phonocardiogram (PCG) signals plays a pivotal role in the detection of heart valve …
SAR-CardioNet: A network for heart valve disease detection from PCG signal based on split-self attention with residual paths
Analyzing phonocardiogram (PCG) signals is getting popularity because of its noninvasive
test procedures for the early detection of heart-valve-related diseases. Unlike traditional …
test procedures for the early detection of heart-valve-related diseases. Unlike traditional …
Ensemble learning for accurate prediction of heart sounds using gammatonegram images
S ASHINIKUMAR SINGH… - Turkish Journal of …, 2024 - journals.tubitak.gov.tr
The analysis of heart sound signals constitutes a pivotal domain in healthcare, with the
prediction of imbalanced heart sounds offering critical diagnostic insights. However, the …
prediction of imbalanced heart sounds offering critical diagnostic insights. However, the …
An Attention‐Driven Hybrid Deep Neural Network for Enhanced Heart Disease Classification
Heart disease continues to be a primary cause of mortality globally, highlighting the critical
necessity for efficient early prediction and classification techniques. This study presents a …
necessity for efficient early prediction and classification techniques. This study presents a …
Enhancing imbalanced heart sound classification through transfer learning and gammatonegram image analysis
SA Singh, SA Singh, AD Singh - 2023 - researchsquare.com
Cardiovascular diseases remain the foremost global cause of mortality, necessitating timely
and accurate diagnosis. Auscultation, relying on a physician's expertise and a stethoscope …
and accurate diagnosis. Auscultation, relying on a physician's expertise and a stethoscope …