Removal of White Noise from ECG Signal Based on Morphological Component Analysis
ZHAO Wei
HUANG Xiao-jing
YOU Rong-yi
摘要：To effectively suppress white noise and preserve more useful components of electrocardiogram (ECG) signal, a novel de-noising method based on morphological component analysis (MCA) is proposed. MCA is a method which allows us to separate features contained in an original signal when these features present different morphological aspects. According to the features of ECG, we used the UWT dictionary to sparsely represent mutated component, and used the DCT dictionary to sparsely represent smooth component. The experimental results of the samples choosing from MIT-BIH databases show that the MCA-based method is effective for white noise removal.
机标关键词：white noise
分类号：R318.08(医用一般科学)
论文发表日期：2014-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：6( 1-6 )
英文信息