A NEW ALGORITHM FOR DETECTION OF S1 AND S2 HEART SOUNDS
Authors
Dinesh Kumar
Paulo de Carvalho
Manuel Antunes
Paulo José Carrilho de Sousa Gil
Jorge Henriques
Luís Eugénio
Paulo de Carvalho
Manuel Antunes
Paulo José Carrilho de Sousa Gil
Jorge Henriques
Luís Eugénio
Abstract
This paper presents a new algorithm for segmentation andclassification of S1 and S2 heart sounds without ECG reference.
The proposed approach is composed of three main
stages. In the first stage the fundamental heart sound lobes
are identified using a fast wavelet transform and the Shannon
energy. Next, these lobes are validated and classified into S1
and S2 classes based on Mel-frequency coefficients and on a
non supervised neural network. Finally, regular heart cycles
are identified in a post-processing stage by a heart rhythm
criterion. This approach was tested using sound samples collected
from prosthetic valve implanted patients. Results are
comparable with ECG based approaches.
Keywords
Biomedical signal Processing, Heart Sound SegmentationRelated Project
IST FP6 MyHeartConference
ICASSP - IEEE Int Conf. on Acoustic, Speech and Signal Processing, May 2006PDF File
Cited by
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