Sentence examples for classification of heart sound from inspiring English sources

Classification of heart sound is another research area that divides heartbeat sounds in different clusters based on their characteristics [ 1, 4, 5].

Artificial Neural Network (ANN) finds use in classification of heart sounds for its discriminative training ability and easy implementation.

Goda et al. [70] combined DWT, time features, and other features for classification of heart sounds.

In an extension of this work [53], authors employed a number of machine learning algorithms for classification of heart sounds.

Among other wavelet based contributions, Naseri and Homaeinezhad [61] proposed a framework for classification of heart sounds S1, S2, S3, S4, murmurs, and scuffles.

It is not simple to estimate absolute volume of heart sound.

The duration of heart sound pulses is approximately 100 ms [ 3, 20].

A phenomenological theory of heart sounds is proposed.

Gill et al. 2005 [117]   1D monocomponent AM-FM Detection and identification of heart sounds.

The use of a heart sound simulator in teaching recognition of heart sounds was tested in 37 graduate students.

Heart sounds and ECHO (laboratory)     Students work in pairs one captures PLAX view showing both the aortic valve and mitral valve while other student listens with stethoscope and notes relationship of heart sounds and valve closure.