title: A Comparison of IIR and Wavelet Filtering for Noise Reduction of the ECG.
abstract: This study compares the ability to preserve information and reduce noise contaminants on the ECG for five wavelet filters and three IIR filters. Two 3-lead Holter ECGs were used. White Gaussian Noise was added to the first ECG in increments of 10% coverage. The second ECG contained alternating muscle transients and noise-free segments. Computation times and SNR improvements for different noise coverages were calculated and compared. RMS errors were calculated from noise-free segments on the ECG with transient muscle noise. Wavelet filters improved SNR more than IIR filters when the signal coverage was more than 50% noise. In contrast, the computation times were shorter for IIR filters (6 s) than for wavelet filters (88 s). On the ECG with transient muscle noise there was a trade-off in performance between wavelet and IIR filtering. In a clinical setting where the amount of noise is unknown, using IIR filters appears to be preferred for consistent performance.
authors: Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
authors: Js
authors: J
authors: Sørensen
authors: L
authors: L
authors: Johannesen
authors: Usl
authors: U
authors: Grove
authors: K
authors: K
authors: Lundhus
authors: J-P
authors: JP
authors: Couderc
authors: C
authors: C
authors: Graff