A Comprehensive Overview of Heart Sound Analysis Using Machine Learning Methods

MFAB Hamza, NNA Sjarif - IEEE Access, 2024 - ieeexplore.ieee.org
Cardiovascular diseases (CVDs) are a prevalent cause of mortality worldwide, and the
traditional cardiovascular disease diagnosis has relied heavily on stethoscope-based heart …

A new approach based on a 1d+ 2d convolutional neural network and evolving fuzzy system for the diagnosis of cardiovascular disease from heart sound signals

F Xiao, H Liu, J Lu - Applied Acoustics, 2024 - Elsevier
Diagnostic methods for cardiovascular disease diagnosis based on heart sound
classification have been widely investigated for their noninvasiveness, low-cost, and high …

[PDF][PDF] Heart Sound Analysis Using SAINet Incorporating CNN and Transfer Learning for Detecting Heart Diseases

S Sathyanarayanan, MK Srikanta - Journal of Wireless Mobile …, 2024 - researchgate.net
Cardiovascular disease (CVD) is the leading cause of death worldwide. Accurate and early
diagnosis of cardiovascular disease (CVD) is essential for its timely treatment and …

Deep learning fusion framework for automated coronary artery disease detection using raw heart sound signals

YF Dai, PF Liu, WQ Hou, K Kadier, ZY Mu, Z Lu… - Heliyon, 2024 - cell.com
One of the most common cardiovascular diseases is coronary artery disease (CAD). Thus, it
is crucial for early CAD diagnosis to control disease progression. Computer-aided CAD …

Exploiting Data-Efficient Image Transformer-based Transfer Learning for Valvular Heart Diseases Detection

T Jumphoo, K Phapatanaburi, W Pathonsuwan… - IEEE …, 2024 - ieeexplore.ieee.org
Recent studies have shown the potential of the Data-Efficient Image Transformer (DeiT)-
based transfer learning method in speech/image recognition and classification utilizing …

Abnormal Heart Sound Detection using Time-Frequency Analysis and Machine Learning Techniques

PS Nia, HD Hesar - Biomedical Signal Processing and Control, 2024 - Elsevier
Phonocardiogram (PCG) signals contains valuable information pertaining to heart valve
functionality, rendering them potentially useful for early detection of cardiovascular diseases …

A Multi-Layer Acoustic Neural Network-Based Intelligent Early Diagnosis System for Rheumatic Heart Disease

KA Kumar, MJCM Belinda - International Journal of Image and …, 2024 - World Scientific
Rheumatic Heart Disease (RHD) is a disorder of heart caused by streptococcal throat
infection followed by the organ damage, irreversible valve damage and heart failure. Acute …

Enhanced Classification of Heart Sounds Using Mel Frequency Cepstral Coefficients: A Comparative Study of Single and Ensemble Classifier Strategies

AM Rahmani, A Haider, P Khoshvaght, M Adeli… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper explores the efficacy of Mel Frequency Cepstral Coefficients (MFCCs) in
detecting abnormal phonocardiograms using two classification strategies: a single-classifier …

Automated Classification of Myocardial Infarction Based on Auscultation Position Using Random Forest

I Puspasari, TLR Mengko, AW Setiawan… - … in Information and …, 2024 - ieeexplore.ieee.org
Myocardial Infarction is a disease requiring immediate treatment. ECG examination has the
disadvantage of diagnosing MI signals. This research used phonocardiogram signals to …

[PDF][PDF] 面向可穿戴式的基于LSTM 神经网络的智能心音异常诊断芯片

周维新, 高肇岗, 肖宛昂 - 电子与信息学报, 2024 - jeit.ac.cn
心血管疾病是造成全球死亡人数最多的疾病之一, 因此对心血管疾病的预防与提前诊断至关重要
. 人工听诊技术与计算机心音诊断技术无法满足对心音长时间听诊的需求 …