Classification of cardiac sound signals using constrained tunable-Q wavelet transform

作者：

Highlights：

• We propose a new method for classification of cardiac sound signals using TQWT.

• The heart sounds and murmur have been separated using constrained TQWT.

• The separation has led to more diagnostic features with same parameters.

• New features based on time-domain, TQWT and FB expansion have been proposed.

• Results have been compared with STFT based method applied on available dataset.

摘要

•We propose a new method for classification of cardiac sound signals using TQWT.•The heart sounds and murmur have been separated using constrained TQWT.•The separation has led to more diagnostic features with same parameters.•New features based on time-domain, TQWT and FB expansion have been proposed.•Results have been compared with STFT based method applied on available dataset.

论文关键词：Heart valve disorders,Cardiac sound signals,Segmentation,Classification,Heart beat cycles,Tunable-Q wavelet transform (TQWT),Fourier–Bessel (FB) expansion

论文评审过程：Available online 13 June 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.05.052