Shannon包络图与Hilbert包络图在心音分割中的比较分析

2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) Pub Date : 2023-05-25 DOI:10.1109/ACCAI58221.2023.10199584

Mahesh Veezhinathan, Melwin Meston T, Raama Narayanan Anantha Narayanan, Geethanjali B

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引用次数: 0

摘要

本研究的目的是比较在正常情况下和瓣膜疾病期间用于分割心音的包络提取算法的性能。采用归一化平均香农能量法(NASE)和希尔伯特变换法两种不同的方法实现第一心音和第二心音包络的提取。使用上述算法对原始信号和使用离散小波变换(DWT)去噪的信号进行包络提取，并在分割后计算与每个心音相关的时间持续参数。在此基础上，对各算法的效率进行了研究，并对其优缺点进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Comparative Analysis of Shannon and Hilbert Envelograms for Heart Sound Segmentation

The objective of this study is to compare the performances of envelope extraction algorithms used to segment heart sounds under normal conditions as well as during valvular disorders. Two different approaches were followed to implement the extraction of envelope of the first and second heart sounds-Normalized Average Shannon Energy (NASE) and Hilbert Transform method. Envelope extraction using the above stated algorithms were performed on raw as well as signals denoised using Discrete Wavelet transform (DWT) and the time duration parameters associated with each heart sound were computed after segmentation. Based on the results obtained, the efficiency of each algorithm was studied and their advantages and disadvantages were compared.

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2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)

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