Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

Automatic Heart Sound Segmentation Method Based on Cyclostationarity and Clustering

Authors
Ting Li
Corresponding Author
Ting Li
Available Online December 2015.
DOI
10.2991/icmmcce-15.2015.75How to use a DOI?
Keywords
Heart sound signal; Segmentation; Cyclostationary; Clustering
Abstract

Segmenting heart sounds accurately is significant to determine the types and the severity of heart diseases. Using cyclostationary property of heart sounds and clustering method, the paper proposed an effective automatic segmentation algorithm of heart sound signals. This algorithm can segment normal heart sounds and abnormal heart sounds with medium murmur exactly. Simulation results show that this method is robust to noise, which is helpful to feature extraction, heart sound recognition and computer-aided diagnosis afterwards.

Copyright
© 2015, 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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Volume Title
Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
Series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
10.2991/icmmcce-15.2015.75
ISSN
2352-538X
DOI
10.2991/icmmcce-15.2015.75How to use a DOI?
Copyright
© 2015, 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/).

Cite this article

TY  - CONF
AU  - Ting Li
PY  - 2015/12
DA  - 2015/12
TI  - Automatic Heart Sound Segmentation Method Based on Cyclostationarity and Clustering
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SP  - 361
EP  - 366
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.75
DO  - 10.2991/icmmcce-15.2015.75
ID  - Li2015/12
ER  -