A Heart Sound Segmentation Method Based on Cyclostationary Envelope

DOI

10.2991/iccsee.2013.634How to use a DOI?

Keywords

Heart sound signal, Segmentation, Cyclostationary Envelope

Abstract

Segmentation is generally an important prior process to automatic analysis of heart sounds. The proposed algorithm achieved this in separated cycles. First, the cyclostationary envelopes of heart sound signals are calculated. Second, a threshold is chosen to separate S1 and S2. The segmentation is automatic, and robust to noise. It can identify S1 and S2 correctly even under the circumstance of noise and interference. No reference signal is needed for this segmentation. It was tested by the heart sounds of 20 subjects including 15 normal and 5 abnormal in various clinical cases (715 cycles in total). The statistics showed over 96 percent correctness for segmentation.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ting Li
AU  - Tianshuang Qiu
AU  - Hong Tang
PY  - 2013/03
DA  - 2013/03
TI  - A Heart Sound Segmentation Method Based on Cyclostationary Envelope
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2536
EP  - 2539
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.634
DO  - 10.2991/iccsee.2013.634
ID  - Li2013/03
ER  -