Optimal Heart Sound Segmentation Algorithm Based on K-Mean Clustering and Wavelet Transform

Optimal Heart Sound Segmentation Algorithm Based on K-Mean Clustering and Wavelet Transform

The accurate localization of S1 and S2 is essential for heart sound segmentation and classification. However, current direct heart sound segmentation algorithms have poor noise immunity and low accuracy. Therefore, this paper proposes a new optimal heart sound segmentation algorithm based on K-means...

Full description

Bibliographic Details
Main Authors: Xingchen Xu, Xingguang Geng, Zhixing Gao, Hao Yang, Zhiwei Dai, Haiying Zhang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Applied Sciences
Subjects:
cardiovascular diseases
feature extraction
localization
PCG
segmentation
integral waveform
Online Access:https://www.mdpi.com/2076-3417/13/2/1170

Internet

https://www.mdpi.com/2076-3417/13/2/1170

Similar Items