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首页> 外文会议>BMEI 2012;International Conference on Biomedical Engineering and Informatics >A real-time fetal ECG feature extraction using multiscale discrete wavelet transform
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A real-time fetal ECG feature extraction using multiscale discrete wavelet transform

机译：利用多尺度离散小波变换的实时胎儿心电图特征提取

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摘要

In this study we have developed real time fetal electrocardiogram (FECG) feature extraction system based on multi-scale discrete wavelet transform (DWT). Wavelet based peak detection are used to detect QRS complex more accurately for identifying peaks and valleys of noisy FECG signal. Two-channel perfect reconstruction (PR) filter banks are used to implement the efficient way discrete wavelet transform. The developed fetal maternal ECG monitor machine has been tested in a local hospital on a sample group of 35 pregnant women at different interval during gestation period. This reliable system detects all FECG beats to the accuracy better than 99.5 % considering limitation of measuring system parameters in five minutes recording of each subject.
机译：在这项研究中，我们开发了基于多尺度离散小波变换（DWT）的实时胎儿心电图（FECG）特征提取系统。基于小波的峰值检测可更精确地检测QRS复数，以识别嘈杂的FECG信号的峰值和谷值。两通道完美重构（PR）滤波器组用于实现离散小波变换的有效方式。研发的胎儿心电监护仪已经在当地一家医院的35名孕妇的样本组中进行了测试，这些孕妇在妊娠期间有不同的间隔。考虑到每个受试者在五分钟的记录中测量系统参数的局限性，该可靠的系统可检测到所有FECG搏动的准确性均高于99.5％。

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