Title :
EMD-based 60-Hz noise filtering of the ECG
Author :
Nimunkar, A.J. ; Tompkins, W.J.
Author_Institution :
Univ. of Wisconsin-Madison, Madison
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.
Keywords :
band-stop filters; electrocardiography; medical signal processing; signal denoising; ECG; EMD-based 60-Hz noise filtering; IIR-based bandstop filtering; electrocardiogram signals; empirical mode decomposition; frequency 60 Hz; intrinsic mode function; power line noise filtering; pseudo noise; Electrocardiography; Electromagnetic interference; Filter bank; Filtering; Frequency; Joining processes; Signal processing; Signal to noise ratio; Spline; Stress; Algorithms; Artifacts; Computers; Data Interpretation, Statistical; Electrocardiography; Equipment Design; Fourier Analysis; Humans; Models, Statistical; Models, Theoretical; Normal Distribution; Signal Processing, Computer-Assisted; Software;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4352688