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
https://doi.org/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.
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Proceedings
2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
Part of series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
978-94-6252-133-9
DOI
https://doi.org/10.2991/icmmcce-15.2015.75How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

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  - 2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
PB  - Atlantis Press
UR  - https://doi.org/10.2991/icmmcce-15.2015.75
DO  - https://doi.org/10.2991/icmmcce-15.2015.75
ID  - Li2015/12
ER  -