Literature DB >> 28161875

Pseudo-real-time low-pass filter in ECG, self-adjustable to the frequency spectra of the waves.

Ivaylo Christov1, Tatyana Neycheva2, Ramun Schmid3, Todor Stoyanov2, Roger Abächerli4,5.   

Abstract

The electrocardiogram (ECG) acquisition is often accompanied by high-frequency electromyographic (EMG) noise. The noise is difficult to be filtered, due to considerable overlapping of its frequency spectrum to the frequency spectrum of the ECG. Today, filters must conform to the new guidelines (2007) for low-pass filtering in ECG with cutoffs of 150 Hz for adolescents and adults, and to 250 Hz for children. We are suggesting a pseudo-real-time low-pass filter, self-adjustable to the frequency spectra of the ECG waves. The filter is based on the approximation procedure of Savitzky-Golay with dynamic change in the cutoff frequency. The filter is implemented pseudo-real-time (real-time with a certain delay). An additional option is the automatic on/off triggering, depending on the presence/absence of EMG noise. The analysis of the proposed filter shows that the low-frequency components of the ECG (low-power P- and T-waves, PQ-, ST- and TP-segments) are filtered with a cutoff of 14 Hz, the high-power P- and T-waves are filtered with a cutoff frequency in the range of 20-30 Hz, and the high-frequency QRS complexes are filtered with cutoff frequency of higher than 100 Hz. The suggested dynamic filter satisfies the conflicting requirements for a strong suppression of EMG noise and at the same time a maximal preservation of the ECG high-frequency components.

Entities:  

Keywords:  ECG; EMG noise; Filtering

Mesh:

Year:  2017        PMID: 28161875     DOI: 10.1007/s11517-017-1625-y

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  6 in total

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Journal:  Med Eng Phys       Date:  1999-12       Impact factor: 2.242

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4.  Effects of inadequate low-pass filter application.

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Journal:  J Electrocardiol       Date:  2009-04-07       Impact factor: 1.438

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Journal:  J Electrocardiol       Date:  2013-10-08       Impact factor: 1.438

6.  Tremor suppression in ECG.

Authors:  Ivan A Dotsinsky; Georgy S Mihov
Journal:  Biomed Eng Online       Date:  2008-11-19       Impact factor: 2.819

  6 in total
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