A Time-Frequency Approach for Discrimination of Heart Murmurs

A Time-Frequency Approach for Discrimination of Heart Murmurs

In this paper, a novel framework based on a time-frequency (TF) approach is proposed for detection of murmurs from heart sound signal. First, a high-resolution TF algorithm, matching pursuit, was used to decompose each heart beat into a series of TF atoms selected from a redundant dictionary. Next, representative components of murmurs were identified by clustering the selected atoms of all the ...

Time-frequency Analysis of Heart Sounds and Murmurs

Heart sounds and murmurs are timevarying signals that would best be analyzed using timefrequency analysis. Windowed Wigner-Ville distribution (WWVD) and smooth windowed Wigner-Vffle distribution (SWWVD) are used to obtain the timefrequency representation of the signal. Determination of parameter setting of WWVD and SWWVD will eliminate the cross-terms and improve time frequency representation. ...

A Time-Frequency approach for EEG signal segmentation

The record of human brain neural activities, namely electroencephalogram (EEG), is generally known as a non-stationary and nonlinear signal. In many applications, it is useful to divide the EEGs into segments within which the signals can be considered stationary. Combination of empirical mode decomposition (EMD) and Hilbert transform, called Hilbert-Huang transform (HHT), is a new and powerful ...

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...