Wavelet Packet Entropy for Heart Murmurs Classification

Wavelet Packet Entropy for Heart Murmurs Classification

Heart murmurs are the first signs of cardiac valve disorders. Several studies have been conducted in recent years to automatically differentiate normal heart sounds, from heart sounds with murmurs using various types of audio features. Entropy was successfully used as a feature to distinguish different heart sounds. In this paper, new entropy was introduced to analyze heart sounds and the feasi...

ECG Classification Using Wavelet Packet Entropy and Random Forests

The electrocardiogram (ECG) is one of the most important techniques for heart disease diagnosis. Many traditional methodologies of feature extraction and classification have been widely applied to ECG analysis. However, the effectiveness and efficiency of such methodologies remain to be improved, and much existing research did not consider the separation of training and testing samples from the...

Best basis-based wavelet packet entropy feature extraction and hierarchical EEG classification for epileptic detection

In this study, a hierarchical electroencephalogram (EEG) classification system for epileptic seizure detection is proposed. The system includes the following three stages: (i) original EEG signals representation by wavelet packet coefficients and feature extraction using the best basis-based wavelet packet entropy method, (ii) cross-validation (CV) method together with k-Nearest Neighbor (k-NN)...

Heart murmurs.

Heart murmurs.

to this article. Introduction Heart murmurs are heard commonly in infants, children, and adolescents. Approximately 50% to 70% of individuals seen for school or sports preparticipation examinations have a heart murmur. Indeed, a murmur is heard in most children at one or more of their examinations. Because most murmurs are innocent (ie, normal), it is important to differentiate those that are a...