Classification of Normal and Abnormal Heart Sounds for Automatic Diagnosis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU124094" target="_blank" >RIV/00216305:26220/17:PU124094 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/8076089" target="_blank" >https://ieeexplore.ieee.org/document/8076089</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TSP.2017.8076089" target="_blank" >10.1109/TSP.2017.8076089</a>

Result language

angličtina

Original language name

Classification of Normal and Abnormal Heart Sounds for Automatic Diagnosis

Original language description

Body auscultation is an easy and non-invasive method for detection of diseases in human body. The conventional method is a bit time consuming and requires professionals for diagnosis. Automatic diagnosis of diseases using heart sound can be of great help in the rural areas where professional help is not available. The proposed work presents an automatic and efficient method of diagnosis and classification using heart sound. Mel Frequency Cepstral Coefficient (MFCC) features are extracted from heart sounds for diagnosis. Supervised classification method is used to separate the normal and abnormal heart sound for detection of diseases. The proposed method was tested on a comprehensive database of heart sounds and achieved accuracy of 97.50 % during classification process. The experiment results indicates that the proposed method is efficient for classification of healthy/unhealthy heart sounds and computationally cheap making it suitable for real time applications.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

40th Anniversary of International Conference on Telecommunications and Signal Processing (TSP)

ISBN

978-1-5090-3981-4

ISSN

1805-5435

e-ISSN

—

Number of pages

5

Pages from-to

753-757

Publisher name

Neuveden

Place of publication

Barcelona, Španělsko

Event location

Barcelona

Event date

Jul 5, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000425229000160