电子学报2011，Vol.39Issue(4)：819-824,6.
基于Hilbert-Huang变换的ECG消噪
ECG De-noising Based on Hilbert-Huang Transform
摘要
Abstract
A method for ECG de-noising based on Hilbert-Huang Transform has been proposed. ECG was analyzed by the Hilbert spectrum of the IMF, which was produced by the Empirical mode decomposition method. The three main noises were respectively removed according to the characteristics of noises. Power line interference and high frequency noises were mainly mixed into the low IMF of ECG, while baseline wander noises were mainly mixed into the high IMF. The morphological filter method based on adaptive threshold was used in the low IMF for de-noising,while baseline wander was estimated by the smooth filter in the high IMF of ECG. The results of simulation experiment and practical application demonstrate that the method proposed in this paper performs better than wavelet de-noising method significantly, not only in suppressing the three mainly noises effectively, but also in preserving the primary characteristics of ECG signal.关键词
Hilbert-Huang变换/经验模态分解/固有模态函数/心电图/消噪/形态学滤波Key words
Hilbert-Huang transform/ empirical mode decomposition/intrinsic mode function/ ECG/ de-noising/ morphological filter分类
信息技术与安全科学引用本文复制引用
杨向林,严洪,许志,任兆瑞,宋晋忠,姚宇华,李延军..基于Hilbert-Huang变换的ECG消噪[J].电子学报,2011,39(4):819-824,6.基金项目
中国航天医学工程预先研究项目(No.SJ200903,No.SJ201006) （No.SJ200903,No.SJ201006）
