Algorithms for automatic analysis and classification of heart sounds–a systematic review

AK Dwivedi, SA Imtiaz, E Rodriguez-Villegas - IEEE Access, 2018 - ieeexplore.ieee.org
Cardiovascular diseases currently pose the highest threat to human health around the
world. Proper investigation of the abnormalities in heart sounds is known to provide vital …

The electronic stethoscope

S Leng, RS Tan, KTC Chai, C Wang, D Ghista… - Biomedical engineering …, 2015 - Springer
Most heart diseases are associated with and reflected by the sounds that the heart
produces. Heart auscultation, defined as listening to the heart sound, has been a very …

[图书][B] The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance

PS Addison - 2017 - taylorfrancis.com
This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …

PCG classification through spectrogram using transfer learning

S Ismail, B Ismail, I Siddiqi, U Akram - Biomedical Signal Processing and …, 2023 - Elsevier
Heart rate classification is a challenging problem primarily due to spectral overlap of normal
heart sound with internal sources like extra heart sounds, extra systole, murmurs, respiration …

[HTML][HTML] Multi-level basis selection of wavelet packet decomposition tree for heart sound classification

F Safara, S Doraisamy, A Azman, A Jantan… - Computers in biology …, 2013 - Elsevier
Wavelet packet transform decomposes a signal into a set of orthonormal bases (nodes) and
provides opportunities to select an appropriate set of these bases for feature extraction. In …

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 …

Classification of cardiac sound signals using constrained tunable-Q wavelet transform

S Patidar, RB Pachori - Expert Systems with Applications, 2014 - Elsevier
The features extracted from the cardiac sound signals are commonly used for detection and
identification of heart valve disorders. In this paper, we present a new method for …

Cardiovascular disease recognition based on heartbeat segmentation and selection process

M Boulares, R Alotaibi, A AlMansour… - International Journal of …, 2021 - mdpi.com
Assessment of heart sounds which are generated by the beating heart and the resultant
blood flow through it provides a valuable tool for cardiovascular disease (CVD) diagnostics …

A review of recent advances and future developments in fetal phonocardiography

R Kahankova, M Mikolasova, R Jaros… - IEEE Reviews in …, 2022 - ieeexplore.ieee.org
Fetal phonocardiography (fPCG) is receiving attention as it is a promising method for
continuous fetal monitoring due to its non-invasive and passive nature. However, it suffers …

Automated diagnosis of heart sounds using rule-based classification tree

ME Karar, SH El-Khafif, MA El-Brawany - Journal of medical systems, 2017 - Springer
In order to assist the diagnosis procedure of heart sound signals, this paper presents a new
automated method for classifying the heart status using a rule-based classification tree into …