منابع مشابه
A System for Heart Sounds Classification
The future of quick and efficient disease diagnosis lays in the development of reliable non-invasive methods. As for the cardiac diseases - one of the major causes of death around the globe - a concept of an electronic stethoscope equipped with an automatic heart tone identification system appears to be the best solution. Thanks to the advancement in technology, the quality of phonocardiography...
متن کاملHeart Sounds Biometric System
This paper presents design of system for access control using heart sound biometric signature based on energy percentage in each wavelet coefficients and MFCC feature. A collection of 40 heart sounds records for different persons from internet, for each recording signatures were calculated during two heart cycles after denoising of each recording. A Euclidean distance is used as classification ...
متن کاملA Novel Feature Extraction Method for Heart Sounds Classification
The experimental results showed that the proposed method efficiently classifies heart sounds. Heart sound analysis is a b asic method for heart examination, w hich m ay s uggest t he pr esence of a c ardiac pa thology a nd a lso provide diagnostic information. In this study, a novel feature extraction method based on Independent Component Analysis is applied to classify nine different heart sou...
متن کاملDetermining the effective features in classification of heart sounds using trained intelligent network and genetic algorithm
Heart diseases are among the most important causes of mortality in the world, especially in industrial countries. Using heart sounds and the features extracted from them are among the non-aggressive diagnosis and prognosis methods for heart diseases. In this study, the time-scale, Cepstral, frequency, temporal and turbulence features are saved and extracted from the heart sounds, and then they ...
متن کاملCluster analysis and classification of heart sounds
Acoustic heart signals, generated by the mechanical processes of the cardiac cycle, carry significant information about the underlying functioning of the cardiovascular system.We describe a computational analysis framework for identifying distinct morphologies of heart sounds and classifying them into physiological states. The analysis framework is based on hierarchical clustering, compact data...
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ژورنال
عنوان ژورنال: PLoS ONE
سال: 2014
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0112673