Deep learning methods for heart sounds classification: a systematic review

W Chen, Q Sun, X Chen, G Xie, H Wu, C Xu - Entropy, 2021 - mdpi.com
The automated classification of heart sounds plays a significant role in the diagnosis of
cardiovascular diseases (CVDs). With the recent introduction of medical big data and …

A comprehensive survey on heart sound analysis in the deep learning era

Z Ren, Y Chang, TT Nguyen, Y Tan… - IEEE Computational …, 2024 - ieeexplore.ieee.org
Heart sound auscultation has been applied in clinical usage for early screening of
cardiovascular diseases. Due to the high demand for auscultation expertise, automatic …

Deep CardioSound-An Ensembled Deep Learning Model for Heart Sound MultiLabelling

L Guo, S Davenport, Y Peng - arXiv preprint arXiv:2204.07420, 2022 - arxiv.org
Heart sound diagnosis and classification play an essential role in detecting cardiovascular
disorders, especially when the remote diagnosis becomes standard clinical practice. Most of …

Deep learning based classification of unsegmented phonocardiogram spectrograms leveraging transfer learning

KN Khan, FA Khan, A Abid, T Olmez… - Physiological …, 2021 - iopscience.iop.org
Objective. Cardiovascular diseases (CVDs) are a main cause of deaths all over the world.
This research focuses on computer-aided analysis of phonocardiogram (PCG) signals …

A multi-variate heart disease optimization and recognition framework

HM Balaha, AO Shaban, EM El-Gendy… - Neural Computing and …, 2022 - Springer
Cardiovascular diseases (CVD) are the most widely spread diseases all over the world
among the common chronic diseases. CVD represents one of the main causes of morbidity …

[HTML][HTML] Recognition of sick pig cough sounds based on convolutional neural network in field situations

Y Yin, D Tu, W Shen, J Bao - Information processing in agriculture, 2021 - Elsevier
Coughing is an obvious respiratory disease symptom, which affects the airways and lungs of
pigs. In pig houses, continuous online monitoring of cough sounds can be used to build an …

Heart sound classification based on improved mel-frequency spectral coefficients and deep residual learning

F Li, Z Zhang, L Wang, W Liu - Frontiers in Physiology, 2022 - frontiersin.org
Heart sound classification plays a critical role in the early diagnosis of cardiovascular
diseases. Although there have been many advances in heart sound classification in the last …

Elastic net regularization and gabor dictionary for classification of heart sound signals using deep learning

M Fakhry, A Gallardo-Antolín - Engineering Applications of Artificial …, 2024 - Elsevier
In this article, we propose the optimization of the resolution of time–frequency atoms and the
regularization of fitting models to obtain better representations of heart sound signals. This is …

heart: Motion-resilient heart rate monitoring with in-ear microphones

KJ Butkow, T Dang, A Ferlini, D Ma… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
With the soaring adoption of in-ear wearables, the research community has started
investigating suitable in-ear heart rate (HR) detection systems. HR is a key physiological …

Enhancing of dataset using DeepDream, fuzzy color image enhancement and hypercolumn techniques to detection of the Alzheimer's disease stages by deep …

M Toğaçar, Z Cömert, B Ergen - Neural Computing and Applications, 2021 - Springer
Abstract Alzheimer's disease (AD), which occurs as a result of the loss of cognitive functions
in the brain, causes near-forgetfulness in the case and dementia in subsequent processes …