A review of intelligent systems for heart sound signal analysis

M Nabih-Ali, ELSA El-Dahshan… - Journal of medical …, 2017 - Taylor & Francis
Intelligent computer-aided diagnosis (CAD) systems can enhance the diagnostic capabilities
of physicians and reduce the time required for accurate diagnosis. CAD systems could …

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 …

Efficient heart sound segmentation and extraction using ensemble empirical mode decomposition and kurtosis features

CD Papadaniil… - IEEE journal of biomedical …, 2013 - ieeexplore.ieee.org
An efficient heart sound segmentation (HSS) method that automatically detects the location
of first (S 1) and second (S 2) heart sound and extracts them from heart auscultatory raw …

A robust heart sounds segmentation module based on S-transform

A Moukadem, A Dieterlen, N Hueber… - … Signal Processing and …, 2013 - Elsevier
This paper presents a new module for heart sounds segmentation based on S-transform.
The heart sounds segmentation process segments the PhonoCardioGram (PCG) signal into …

Microscopic abnormality classification of cardiac murmurs using ANFIS and HMM

HM Fahad, MU Ghani Khan, T Saba… - Microscopy research …, 2018 - Wiley Online Library
Auscultation of heart dispenses identification of the cardiac valves. An electronic
stethoscope is used for the acquisition of heart murmurs that is further classified into normal …

Automatic moment segmentation and peak detection analysis of heart sound pattern via short-time modified Hilbert transform

S Sun, Z Jiang, H Wang, Y Fang - Computer methods and programs in …, 2014 - Elsevier
This paper proposes a novel automatic method for the moment segmentation and peak
detection analysis of heart sound (HS) pattern, with special attention to the characteristics of …

Towards classifying non-segmented heart sound records using instantaneous frequency based features

AM Alqudah - Journal of medical engineering & technology, 2019 - Taylor & Francis
Heart sound and its recorded signal which is known as phonocardiograph (PCG) are one of
the most important biosignals that can be used to diagnose cardiac diseases alongside …

An efficient heart murmur recognition and cardiovascular disorders classification system

MS Ahmad, J Mir, MO Ullah, MLUR Shahid… - Australasian physical & …, 2019 - Springer
The problem addressed in this work is the detection of a heart murmur and the classification
of the associated cardiovascular disorder based on the heart sound signal. For this purpose …

Short PCG classification based on deep learning

SA Singh, TG Meitei, S Majumder - Deep learning techniques for …, 2020 - Elsevier
Abstract The World Health Organization reported that, every year, 17.7 million people pass
away due to heart-related diseases. So, early investigation of the heart is very essential …

[HTML][HTML] Novel phonocardiography system for heartbeat detection from various locations

R Jaros, J Koutny, M Ladrova, R Martinek - Scientific Reports, 2023 - nature.com
The paper presents evaluation of the proposed phonocardiography (PCG) measurement
system designed primarily for heartbeat detection to estimate heart rate (HR). Typically, HR …