title: EMD-based 60-Hz noise filtering of the ECG.
abstract: This study used empirical mode decomposition (EMD) for filtering power line noise in electrocardiogram signals. When the signal-to-noise (SNR) is low, the power line noise is separated out as the first intrinsic mode function (IMF), but when the SNR is high, a part of the signal along with the noise is decomposed as the first IMF. To overcome this problem, we add a pseudo noise at a frequency higher than the highest frequency of the signal to filter out just the power line noise in the first IMF. The results are compared with traditional IIR-based bandstop filtering. This technique is also implemented for filtering power line noise during enhancement of stress ECG signals.
authors.affiliation: Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
authors.forename: Amit J
authors.initials: AJ
authors.lastname: Nimunkar
authors.forename: Willis J
authors.initials: WJ
authors.lastname: Tompkins
mesh_terms: D000465:Algorithms; D016477:Artifacts; D003201:Computers; D003627:Data Interpretation, Statistical; D004562:Electrocardiography / Q000295:instrumentation* / Q000379:methods; D004867:Equipment Design; D005583:Fourier Analysis; D006801:Humans; D015233:Models, Statistical; D008962:Models, Theoretical; D016011:Normal Distribution; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D012984:Software