Literature DB >> 18002354

EMD-based 60-Hz noise filtering of the ECG.

Amit J Nimunkar1, Willis J Tompkins.   

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.

Mesh:

Year:  2007        PMID: 18002354     DOI: 10.1109/IEMBS.2007.4352688

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  3 in total

1.  Filtering of surface EMG using ensemble empirical mode decomposition.

Authors:  Xu Zhang; Ping Zhou
Journal:  Med Eng Phys       Date:  2012-12-11       Impact factor: 2.242

2.  Arrhythmia ECG noise reduction by ensemble empirical mode decomposition.

Authors:  Kang-Ming Chang
Journal:  Sensors (Basel)       Date:  2010-06-17       Impact factor: 3.576

3.  Powerline noise elimination in biomedical signals via blind source separation and wavelet analysis.

Authors:  Samuel Akwei-Sekyere
Journal:  PeerJ       Date:  2015-07-02       Impact factor: 2.984

  3 in total

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