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 …

Artificial intelligence in pediatric cardiology: a scoping review

Y Sethi, N Patel, N Kaka, A Desai, O Kaiwan… - Journal of Clinical …, 2022 - mdpi.com
The evolution of AI and data science has aided in mechanizing several aspects of medical
care requiring critical thinking: diagnosis, risk stratification, and management, thus mitigating …

Apparatus for acquiring and processing of physiological auditory signals

ME Sabatino - US Patent 8,920,343, 2014 - Google Patents
(57) ABSTRACT A diagnostic system for collecting, processing, recording and analyzing
sounds associated with the physiologic activities of various human organs. The system …

Artificial intelligence-assisted auscultation in detecting congenital heart disease

J Lv, B Dong, H Lei, G Shi, H Wang… - … Heart Journal-Digital …, 2021 - academic.oup.com
Aims Computer-assisted auscultation has become available to assist clinicians with physical
examinations to detect congenital heart disease (CHD). However, its accuracy and …

A novel hybrid energy fraction and entropy-based approach for systolic heart murmurs identification

Y Zheng, X Guo, X Ding - Expert Systems with Applications, 2015 - Elsevier
This paper presents a set of novel features of heart sound for the detection of the
abnormality of heart sounds and classification of heart murmurs. The features include …

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 adaptive singular spectrum analysis approach to murmur detection from heart sounds

S Sanei, M Ghodsi, H Hassani - Medical engineering & physics, 2011 - Elsevier
Murmur is the result of various heart abnormalities. A new robust approach for separation of
murmur from heart sound has been suggested in this article. Singular spectrum analysis …

Heart sound classification using wavelet transform and incremental self-organizing map

Z Dokur, T Ölmez - Digital Signal Processing, 2008 - Elsevier
Determination of heart condition by heart auscultation is a difficult task and requires special
training of medical staff. Computerized techniques suggest objective and more accurate …

Heart sound reproduction based on neural network classification of cardiac valve disorders using wavelet transforms of PCG signals

S Babaei, A Geranmayeh - Computers in biology and medicine, 2009 - Elsevier
Cardiac auscultatory proficiency of physicians is crucial for accurate diagnosis of many heart
diseases. Plenty of diverse abnormal heart sounds with identical main specifications and …

Phono-spectrographic analysis of heart murmur in children

AL Noponen, S Lukkarinen, A Angerla, R Sepponen - BMC pediatrics, 2007 - Springer
Background More than 90% of heart murmurs in children are innocent. Frequently the skills
of the first examiner are not adequate to differentiate between innocent and pathological …