Open AccessAn algorithm study of electrocardiogram signal denoising by using wavelet transform method
Author(s) -
Ruixia Liu,
Yinglon Wang,
Minglei Shu,
Tianlei Gao
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1345/5/052063
Subject(s) - wavelet transform , noise reduction , computer science , pattern recognition (psychology) , signal (programming language) , artificial intelligence , wavelet , algorithm , noise (video) , video denoising , interference (communication) , second generation wavelet transform , stationary wavelet transform , harmonic wavelet transform , step detection , wavelet packet decomposition , computer vision , image (mathematics) , filter (signal processing) , telecommunications , channel (broadcasting) , object (grammar) , video tracking , multiview video coding , programming language
In order to remove the noise interference in Electrocardiogram (ECG) signal, an optimal denoising algorithm based on wavelet transform is proposed. To make use of the multi-resolution feature of wavelet transform, it is adaptive to signal and can reduce the complexity of denoising algorithm, and ensure the ECG main information features are not lost. The results show that this method can effectively denoise ECG signal and is suitable for biological signal processing with low signal noise.