A review of computer‐aided heart sound detection techniques

S Li, F Li, S Tang, W Xiong - BioMed research international, 2020 - Wiley Online Library
Cardiovascular diseases have become one of the most prevalent threats to human health
throughout the world. As a noninvasive assistant diagnostic tool, the heart sound detection …

A critical review of heart sound signal segmentation algorithms

MGM Milani, PE Abas, LC De Silva - Smart Health, 2022 - Elsevier
This paper discusses four heart sound segmentation (HSS) methods: Wavelet transform,
Fractal decomposition, Hilbert Transform, and Shannon Energy Envelogram, in order to …

Detection of pulmonary hypertension associated with congenital heart disease based on time-frequency domain and deep learning features

B Ge, H Yang, P Ma, T Guo, J Pan, W Wang - Biomedical Signal Processing …, 2023 - Elsevier
The heart sounds reflect the health of the heart. Its recording is the phonocardiogram (PCG).
Pulmonary hypertension associated with congenital heart disease (CHD-PAH) is a serious …

Analysis of pregnancy development by complexity and information-based analysis of fetal phonocardiogram (PCG) signals

H Namazi, O Krejcar - Fluctuation and Noise Letters, 2021 - World Scientific
One of the crucial areas of pregnancy research is to analyze the pregnancy development.
For this purpose, scientists analyze the different conditions of fetuses to understand their …

[HTML][HTML] Automatic segmentation and classification of heart sounds using modified empirical wavelet transform and power features

P Narváez, S Gutierrez, WS Percybrooks - Applied Sciences, 2020 - mdpi.com
A system for the automatic classification of cardiac sounds can be of great help for doctors in
the diagnosis of cardiac diseases. Generally speaking, the main stages of such systems are …

[HTML][HTML] On the analysis of data augmentation methods for spectral imaged based heart sound classification using convolutional neural networks

G Zhou, Y Chen, C Chien - BMC medical informatics and decision making, 2022 - Springer
Background The application of machine learning to cardiac auscultation has the potential to
improve the accuracy and efficiency of both routine and point-of-care screenings. The use of …

[HTML][HTML] Evaluation of the coupling among visual stimuli, eye fluctuations, and brain signals

A Menon, O Krejcar, H Namazi - Chaos, Solitons & Fractals, 2021 - Elsevier
This paper evaluated the correlation among the activations of eyes and brain in visual
stimulation. Because of the complex structure of eye fluctuations and brain signals, we …

Classification of baby cry sound using higuchi's fractal dimension with K-nearest neighbor and support vector machine

D Widhyanti, D Juniati - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
The crying baby sound is a way to express their physical and psychological conditions. For
most people, it is difficult to distinguish the meaning of the sound of a baby's cry because …

Recognition of Pediatric Congenital Heart Diseases by Using Phonocardiogram Signals and Transformer-Based Neural Networks

M Hassanuzzaman, NA Hasan… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
The phonocardiogram (PCG) or heart sound auscultation is a low-cost and non-invasive
method to diagnose Congenital Heart Disease (CHD). However, recognizing CHD in the …

Detection of pulmonary arterial hypertension associated with congenital heart disease based on time–frequency domain and deep learning features

B Ge, H Yang, P Ma, T Guo, J Pan, W Wang - Biomedical Signal Processing …, 2023 - Elsevier
The heart sounds reflect the health of the heart. Its recording is the phonocardiogram (PCG).
Pulmonary arterial hypertension associated with congenital heart disease (CHD-PAH) is a …