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基于小波阈值和自适应谱线增强的胎心率去噪算法

董明明 王剑钢

计算机与现代化Issue(12):8-10,15,4.
计算机与现代化Issue(12):8-10,15,4.DOI:10.3969/j.issn.1006-2475.2012.12.003

基于小波阈值和自适应谱线增强的胎心率去噪算法

Fetal Heart Rate Signal Denoise Algorithm Based on Wavelet Threshold and Adaptive Spectral Line Enhancement

董明明 1王剑钢1

作者信息

  • 1. 吉林大学电子科学与工程学院,吉林长春130012
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摘要

Abstract

The fetal heart rate is an important physiological index on clinical fetal monitoring, however, in the signal extraction process, the fetal heart rate accuracy is under a bad influence, because of its complex of the original signal component and the serious noise. In order to extract the fetal heart rate exactly, this paper proposes a new denoising algorithm based on the wavelet threshold and the adaptive line enhancement algorithm. Experimental results show that the new algorithm can reduce the calculations and noises, and the fetal heart rate value calculations are more accurate.

关键词

胎儿心率/信号提取/小波阈值/自适应谱线增强/去噪

Key words

fetal heart rate/ signal extraction/ wavelet threshold/ adaptive spectral line enhancement/ denoise

分类

信息技术与安全科学

引用本文复制引用

董明明,王剑钢..基于小波阈值和自适应谱线增强的胎心率去噪算法[J].计算机与现代化,2012,(12):8-10,15,4.

计算机与现代化

OACSTPCD

1006-2475

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