title: [Investigation of fast filter of ECG signals with lifting wavelet and smooth filter].
abstract: 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.
authors.affiliation: Chongqing University, Key Laboratory of High Voltage and Electrical Theory New Technology, Education Ministry of China, Chongqing 400044, China. cqulixuefei@126.com
authors.forename: Xuefei
authors.initials: X
authors.lastname: Li
authors.forename: Yuxing
authors.initials: Y
authors.lastname: Mao
authors.forename: Wei
authors.initials: W
authors.lastname: He
authors.forename: Fan
authors.initials: F
authors.lastname: Yang
authors.forename: Liang
authors.initials: L
authors.lastname: Zhou
mesh_terms: D000465:Algorithms; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D012815:Signal Processing, Computer-Assisted