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 …

An expert system for detection of breast cancer based on association rules and neural network

M Karabatak, MC Ince - Expert systems with Applications, 2009 - Elsevier
This paper presents an automatic diagnosis system for detecting breast cancer based on
association rules (AR) and neural network (NN). In this study, AR is used for reducing the …

Support vectors machine-based identification of heart valve diseases using heart sounds

I Maglogiannis, E Loukis, E Zafiropoulos… - Computer methods and …, 2009 - Elsevier
Taking into account that heart auscultation remains the dominant method for heart
examination in the small health centers of the rural areas and generally in primary …

Automatic detection of swallowing events by acoustical means for applications of monitoring of ingestive behavior

ES Sazonov, O Makeyev, S Schuckers… - IEEE Transactions …, 2009 - ieeexplore.ieee.org
Our understanding of etiology of obesity and overweight is incomplete due to lack of
objective and accurate methods for monitoring of ingestive behavior (MIB) in the free-living …

Cardiac sound murmurs classification with autoregressive spectral analysis and multi-support vector machine technique

S Choi, Z Jiang - Computers in biology and medicine, 2010 - Elsevier
In this paper, a novel cardiac sound spectral analysis method using the normalized
autoregressive power spectral density (NAR-PSD) curve with the support vector machine …

Feature extraction for systolic heart murmur classification

C Ahlstrom, P Hult, P Rask, JE Karlsson… - Annals of biomedical …, 2006 - Springer
Heart murmurs are often the first signs of pathological changes of the heart valves, and they
are usually found during auscultation in the primary health care. Distinguishing a …

Automatic diagnosis of septal defects based on tunable-Q wavelet transform of cardiac sound signals

S Patidar, RB Pachori, N Garg - Expert Systems with Applications, 2015 - Elsevier
Accurate and quick diagnosis of cardiac disorders like septal defects can be performed by
automatic analysis of cardiac sound signals using advanced signal processing methods. In …

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 …

Prediction of wastewater treatment plant performance based on wavelet packet decomposition and neural networks

D Hanbay, I Turkoglu, Y Demir - Expert systems with applications, 2008 - Elsevier
In this paper, an intelligent wastewater treatment plant model is developed to predict the
performance of a wastewater treatment plant (WWTP). The developed model is based on …

An expert system based on principal component analysis, artificial immune system and fuzzy k-NN for diagnosis of valvular heart diseases

A Sengur - Computers in biology and medicine, 2008 - Elsevier
In the last two decades, the use of artificial intelligence methods in medical analysis is
increasing. This is mainly because the effectiveness of classification and detection systems …