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Algorithms for Automatic Analysis and Classification of Heart Sounds–A Systematic Review

Amit Krishna Dwivedi, Syed Anas Imtiaz, Esther Rodriguez-Villegas
2019 IEEE Access  
However, despite significant advances in the development of algorithms for automated classification and analysis of heart sounds, the validity of different approaches has not been systematically reviewed  ...  This paper provides an in-depth systematic review and critical analysis of all the existing approaches for automatic identification and classification of the heart sounds.  ...  Discrete Wavelet Transform (DWT) [91] , Continuous Wavelet Transform (CWT) [129] - [131] , and Mel-Scaled Wavelet Transform [107] , [132] - [134] , have all been used for heart sounds analysis.  ... 
doi:10.1109/access.2018.2889437 fatcat:qpihbxsygjb2pch2piledznhwu

Survey of Different Methodologies Used in Phonocardiogram Signal Analysis

Simarjot KaurRandhawa, Mandeep Singh
2015 International Journal of Computer Applications  
Heart sounds give us information about the state of the heart. Heart diseases can be detected at an earlier stage by analyzing the heart sounds.  ...  In this paper, detailed discussion of various methodologies that have been used earlier to analyze the heart sounds has been carried out.  ...  Discrete wavelet transform was used for feature extraction of cardiac sounds and classification was done using neural network bragging predictors [7] .  ... 
doi:10.5120/20583-3006 fatcat:kvhicippzjabnpgiwiitipjhha

Localization and classification of heart beats in phonocardiography signals —a comprehensive review

Shahid Ismail, Imran Siddiqi, Usman Akram
2018 EURASIP Journal on Advances in Signal Processing  
Phonocardiogram (PCG) signal represents recording of sounds and murmurs resulting from heart auscultation. Analysis of these PCG signals is critical in diagnosis of different heart diseases.  ...  The review concludes that the time-frequency representations like EMD and wavelets represent areas of exploration in future along with perspective of using different time-frequency techniques together.  ...  Funding The reported research is not a part of any funded project. Availability of data and materials The review referred to the following datasets which are publicly available.  ... 
doi:10.1186/s13634-018-0545-9 fatcat:7r6umtohxrg2llvxeimgezo7vy

Classification of heart disease based on PCG signal using CNN

Aditya Wisnugraha Sugiyarto, Agus Maman Abadi, Sumarna Sumarna
2021 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
The study was initiated with signal preprocessing by cutting and normalizing the signal, followed by a continuous wavelet transformation process using a mother wavelet analytic morlet.  ...  This study aims to classify heart disease based on phonocardiogram (PCG) signals using the convolutional neural networks (CNN).  ...  Decomposition of PCG signal The next step after data normalization was decomposing the signal with continuous wavelet transformation.  ... 
doi:10.12928/telkomnika.v19i5.20486 fatcat:e7tie63u55gwblxyptharztroe

Intelligent Identification of Childhood Musical Murmurs

Yuerong Chen, Shengyong Wang, Chia-Hsuan Shen, Fred Choy
2012 Journal of Healthcare Engineering  
Singular value decomposition was applied on the matrix derived from continuous wavelet transform to extract extra features.  ...  Heart murmurs are often the first signs of heart valvular disorders.  ...  A segment of heart sound recording.  ... 
doi:10.1260/2040-2295.3.1.125 fatcat:yjoa7yofk5fmzfdvcg6dehxfhy

Heart sound classification from unsegmented phonocardiograms

Philip Langley, Alan Murray
2017 Physiological Measurement  
The aim was to assess the feasibility for accurate classification of heart sounds on short, unsegmented recordings.  ...  Objective Most algorithms for automated analysis of phonocardiograms (PCG) require segmentation of the signal into the characteristic heart sounds.  ...  Following our initial work based on classification of heart sounds using wavelet entropy of unsegmented recordings (Langley & Murray 2016) here we extend Page 2 of 19 AUTHOR SUBMITTED MANUSCRIPT -PMEA  ... 
doi:10.1088/1361-6579/aa724c pmid:28489019 fatcat:4rn7bdftujcvndkha54olsis7y

Classification of Heart Sounds Based on the Wavelet Fractal and Twin Support Vector Machine

Jinghui Li, Li Ke, Qiang Du
2019 Entropy  
Firstly, the original heart sound signal is decomposed by wavelet transform, and the wavelet decomposition coefficients of the signal are extracted.  ...  In order to quickly and accurately judge the heart sound signal, the classification method based on Wavelet Fractal and twin support vector machine (TWSVM) is proposed in this paper.  ...  Conflicts of Interest: The authors declare no conflict of interest. Entropy 2019, 21, 472  ... 
doi:10.3390/e21050472 pmid:33267186 fatcat:3jcky52eqjhptaj5b4wjzsp2jy

Classification of heart sounds associated with murmur for diagnosis of cardiac valve disorders

Ahmed Ali Dawud, Thamineni Bheema Lingaiah, Towfik Jemal
2022 Health Technology  
The heart sound is still used as a primary tool for screening and diagnosing many pathological conditions of the human heart.  ...  The abnormality in the heart sounds starts appearing much earlier than the symptoms of the disease.  ...  Acknowledgments We would like to acknowledge the School of Biomedical Engineering, Jimma Institute of Technology, Jimma University and Jimma University Medical Center for providing the required resources  ... 
doi:10.21037/ht-21-23 fatcat:nk6dr3f7k5hf3bwrqxjnuuyt3e

Remote laser-speckle sensing of heart sounds for health assessment and biometric identification [article]

Lucrezia Cester, Ilya Starshynov, Yola Jones, Pierpaolo Pellicori, John GF Cleland, Daniele Faccio
2022 arXiv   pre-print
Assessment of heart sounds is the cornerstone of cardiac examination, but it requires a stethoscope, skills and experience, and a direct contact with the patient.  ...  We compare the performance of this method to standard digital stethoscope recordings on an example task of heart-beat sound biometric identification.  ...  Classification Algorithm Once features are extracted with the wavelet scattering transform we use a SVM to fit the regions corresponding to different classes within the feature space.  ... 
arXiv:2204.11978v1 fatcat:2ktlhfjb6vgipiahily4lebnru

A Review of Computer-Aided Heart Sound Detection Techniques

Suyi Li, Feng Li, Shijie Tang, Wenji Xiong
2020 BioMed Research International  
sound signals, including denoising, segmentation, feature extraction and classification; with emphasis, the applications of deep learning algorithm in heart sound processing.  ...  There are mainly the following aspects: the theories of heart sounds and the relationship between heart sounds and cardiovascular diseases; the key technologies used in the processing and analysis of heart  ...  A large amount of heart sound wavelet packet transformation and SVD.  ... 
doi:10.1155/2020/5846191 pmid:32420352 pmcid:PMC7201685 fatcat:iyzetxo2cvhw3o3jqizoynhsi4

An Efficient Computational Approach for Phonocardiogram Signals Analysis and Normal/Abnormal heart sounds diagnosis

El-Sayed A. El-Dahshan, Mohammed Ali, Ashraf Yahiea
2020 Arab Journal of Nuclear Sciences and Applications  
wavelet transform (DWT).  ...  In the present work, the authors proposed of cardiac sound signals (ANN) is executed as indicator and classifier of PCG abnormalities using the features extracted from PCG acoustic signals via the discrete  ...  Several approaches are utilized to  Pathological category: Contains heart murmur eliminate and reduce the noise; including DWT, sounds as if it is a "whooshing, noisy, rumbling, continuous wavelet transform  ... 
doi:10.21608/ajnsa.2020.20968.1312 fatcat:2n22jyazj5eingxmcwtnk5qqau

Wavelet Packet Entropy for Heart Murmurs Classification

Fatemeh Safara, Shyamala Doraisamy, Azreen Azman, Azrul Jantan, Sri Ranga
2012 Advances in Bioinformatics  
The promising results substantiate the effectiveness of the proposed wavelet packet entropy for heart sounds classification.  ...  Wavelet packet transform was employed for heart sound analysis, and the entropy was calculated for deriving feature vectors.  ...  transform, continuous wavelet transform (CWT), discrete wavelet transform (DWT), and wavelet packet transform (WPT).  ... 
doi:10.1155/2012/327269 pmid:23227043 pmcid:PMC3512213 fatcat:urmwlia6wfa7hkaq6h56pjd5vm

A new diagnosis method for heart valve disease by Using Antibody Memory Clone Clustering Algorithm based on Supervised Gath-Geva algorithm

Yan Wang, Haibin Wang, Lihan Liu, Yu Fang, Jinbao Zhang
2010 2010 3rd International Conference on Computer Science and Information Technology  
In the classification stage, the proposed Antibody Memory Clone Clustering Algorithm (AMCCA) based on Supervised Gath-Geva algorithm is used.  ...  In order to discriminate normal and abnormal heart sounds (HSs) accurately and effectively, a new method for clinical diagnosis of the heart valve diseases is proposed.  ...  And thanks to the corresponding author of Jinbao Zhang.  ... 
doi:10.1109/iccsit.2010.5563722 fatcat:gpgfia7r7jfrfleuws6yv34chy

Fractal dimension to classify the heart sound recordings with KNN and fuzzy c-mean clustering methods

D Juniati, C Khotimah, D E K Wardani, K Budayasa
2018 Journal of Physics, Conference Series  
The heart abnormalities can be detected from heart sound. A heart sound can be heard directly with a stethoscope or indirectly by a phonocardiograph, a machine of the heart sound recording.  ...  For feature extraction, we used Discrete Wavelet Transform to decompose the signal of heart sound into several sub-bands depending on the selected level.  ...  Conclusion Based on the experiments and the analysis of the classification of heart sounds recordings (phonocardiogram) with Higuchi algorithm for calculating fractal dimension and the classification method  ... 
doi:10.1088/1742-6596/953/1/012202 fatcat:rcgxz2wjibd4zchhotokycnaqi

Classification of Heart Sound Signal Using Multiple Features

Yaseen, Gui-Young Son, Soonil Kwon
2018 Applied Sciences  
This study proposes an improved, automatic classification algorithm for cardiac disorder by heart sound signal.  ...  Cardiac auscultation is a technique to analyze and listen to heart sound using electronic stethoscope, an electronic stethoscope is a device which provides the digital recording of the heart sound called  ...  S2442956), the development of intelligent stethoscope sounds analysis engine and interactive smart stethoscope service platform.  ... 
doi:10.3390/app8122344 fatcat:2jeyaeycbjgdfhyufcwuuucjwu
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