|Table of Contents|

STMHT-based heart sound segmentation(PDF)

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

Issue:
2020年第12期
Page:
1553-1559
Research Field:
医学信号处理与医学仪器
Publishing date:

Info

Title:
STMHT-based heart sound segmentation
Author(s):
SUN Shuping WU Yue HUANG Tingting ZHANG Biqiang DU Xiaoyu HE Peiguang YANG Wenbo
Nanyang Institute of Technology, Nanyang 473000, China
Keywords:
heart sound wavelet decomposition envelope extraction short time modified Hilbert transform algorithm
PACS:
R318
DOI:
DOI:10.3969/j.issn.1005-202X.2020.12.016
Abstract:
When using heart sound analysis to diagnose heart diseases, the locations and extractions of the first heart sound (S1) and the second heart sound (S2) are primary task. Herein a heart sound segmentation method based on short-time modified Hilbert transform (STMHT) is proposed for separately extracting S1 and S2. The study is arranged as the following 3 stages. Wavelet decomposition is firstly employed to preprocess heart sound signals and remain the efficient component of heart sound signals (21.5-689.0 Hz), and then the envelope for heart sound signals is extracted using Viola integral waveform. Finally, S1 and S2 are automatically located and extracted by STMHT algorithm. The performance is evaluated by 30 cases of heart sound signals, and the results show that the accuracy of the S1 and S2 extraction is up to 97.37%, which is higher than that obtained by other methods.

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Last Update: 2020-12-30