A New Algorithm for Detection of S1 and S2 Heart Sounds

Author

Kumar, D. ; Carvalho, P. ; Antunes, M. ; Gil, P. ; Henriques, J. ; Eugenio, L.

Author_Institution

Centre for Inf. & Syst., Coimbra Univ.

Volume

2

fYear

2006

fDate

14-19 May 2006

Abstract

This paper presents a new algorithm for segmentation and classification 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

acoustic signal detection; acoustic signal processing; cardiology; medical signal detection; medical signal processing; signal classification; Mel-frequency coefficients; S1 heart sounds; S2 heart sounds; Shannon energy; heart rhythm criterion; sounds classification; sounds segmentation; wavelet transform; Cardiology; Electrocardiography; Frequency synchronization; Gas insulated transmission lines; Heart valves; Hospitals; Informatics; Prosthetics; Surgery; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1660559

Filename

1660559