Automatic Heart Sound Segmentation Method Based on Cyclostationarity and Clustering
- Ting Li
- Corresponding Author
- Ting Li
Available Online December 2015.
- https://doi.org/10.2991/icmmcce-15.2015.75How to use a DOI?
- Heart sound signal; Segmentation; Cyclostationary; Clustering
- 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.
- 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 -