[Investigation of fast filter of ECG signals with lifting wavelet and smooth filter].

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi

Chongqing University, Key Laboratory of High Voltage and Electrical Theory New Technology, Education Ministry of China, Chongqing 400044, China.

Published: February 2008

The lifting wavelet is used to decompose the original ECG signals and separate them into the approach signals with low frequency and the detail signals with high frequency, based on frequency characteristic. Parts of the detail signals are ignored according to the frequency characteristic. To avoid the distortion of QRS Complexes, the approach signals are filtered by an adaptive smooth filter with a proper threshold value. Through the inverse transform of the lifting wavelet, the reserved approach signals are reconstructed, and the three primary kinds of noise are limited effectively. In addition, the method is fast and there is no time delay between input and output.

Download full-text PDF

Source

Publication Analysis

Top Keywords

lifting wavelet
12
approach signals
12
ecg signals
8
detail signals
8
frequency characteristic
8
signals
7
[investigation fast
4
fast filter
4
filter ecg
4
signals lifting
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!