黄氏变换在子宫收缩分析中的应用

2010 IEEE International Conference on BioInformatics and BioEngineering Pub Date : 2010-05-31 DOI:10.1109/BIBE.2010.70

Kemal Aydın, R. M. Demirer, Coskun Bayrak

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引用次数: 0

摘要

所提出的希尔伯特-黄变换(Hilbert-Huang Transform, HHT)方法已经成功地应用于许多工程领域。在这项工作中，HHT方法的独特特性，如:(1)将数据分解并扩展为所谓的内禀模态函数(IMFs)组件;(2)通过使用时间频率能量分布在时频空间中定位事件。实验表明，可以提取子宫MMG信号中的收缩位置。

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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Use of Hilbert Huang Transform in Uterine Contraction Analysis

Proposed approach, Hilbert-Huang Transform (HHT), has already been successfully applied in many engineering fields. In this work, unique properties of the HHT approach, like (1) decomposing and expansion of data into components so-called Intrinsic Mode Functions (IMFs) (2) localizing events in time-frequency space by using temporal frequency energy distribution. An experiment conducted to show that it is possible to extract the contraction locations in the uterine MMG signal.

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2010 IEEE International Conference on BioInformatics and BioEngineering

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