Literature DB >> 15503974

Beat-to-beat noise removal in non-invasive His-bundle electrocardiogram.

A Bazhyna1, A Gotchev, I I Christov, I K Daskalov, K Egiazarian.   

Abstract

His-bundle electrocardiogram micropotentials are usually obtained by serial-signal averaging, because no acceptable, satisfactory solution for beat-by-beat removal of power-line interference and electromyographic noise has been found. A method has been developed for surface beat-to-beat His-bundle potential recovery, with the hypothesis that no distortion in the signal shape is admissible. It is based on consecutive power-line interference subtraction and wavelet-domain electromyographic noise suppression, modified to match the strict criteria for detecting low-amplitude His potentials. The beat-to-beat wavelet-domain Wiener filtering uses a pilot signal estimate obtained from a limited number (around 20) of heart beat averages. The method resulted in an improvement of more than 4.5 dB in the signal-to-noise ratio and more than 20% reduction in mean absolute error, both measured along the P-Q segment. It is applicable for ECG signals contaminated by moderate electromyogram noise, with an initial signal-to-noise ratio of 15 dB or higher.

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Mesh:

Year:  2004        PMID: 15503974     DOI: 10.1007/bf02347555

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


  11 in total

1.  Filtering of electromyogram artifacts from the electrocardiogram.

Authors:  I I Christov; I K Daskalov
Journal:  Med Eng Phys       Date:  1999-12       Impact factor: 2.242

2.  Dynamic powerline interference subtraction from biosignals.

Authors:  I I Christov
Journal:  J Med Eng Technol       Date:  2000 Jul-Aug

3.  Noise coherence in closely-spaced electrodes: the implications for spatial averaged ECG recordings.

Authors:  I N Turner; W Wang; M J English; R Vincent
Journal:  J Med Eng Technol       Date:  1995 Sep-Oct

Review 4.  Developments in ECG acquisition, preprocessing, parameter measurement, and recording.

Authors:  I K Daskalov; I A Dotsinsky; I I Christov
Journal:  IEEE Eng Med Biol Mag       Date:  1998 Mar-Apr

5.  New approach to the digital elimination of 50 Hz interference from the electrocardiogram.

Authors:  I I Christov; I A Dotsinsky
Journal:  Med Biol Eng Comput       Date:  1988-07       Impact factor: 2.602

6.  Catheter technique for recording His bundle activity in man.

Authors:  B J Scherlag; S H Lau; R H Helfant; W D Berkowitz; E Stein; A N Damato
Journal:  Circulation       Date:  1969-01       Impact factor: 29.690

7.  Elimination of AC interference in electrocardiogram using IIR notch filter with transient suppression.

Authors:  S C Pei; C C Tseng
Journal:  IEEE Trans Biomed Eng       Date:  1995-11       Impact factor: 4.538

8.  Surface recording of His-Purkinje activity on an every-beat basis without digital averaging.

Authors:  N C Flowers; V Shvartsman; B M Kennelly; G S Sohi; L G Horan
Journal:  Circulation       Date:  1981-04       Impact factor: 29.690

9.  Subtraction of 50 Hz interference from the electrocardiogram.

Authors:  C Levkov; G Michov; R Ivanov; I K Daskalov
Journal:  Med Biol Eng Comput       Date:  1984-07       Impact factor: 2.602

10.  Suppression of electromyogram interference on the electrocardiogram by transform domain denoising.

Authors:  N Nikolaev; A Gotchev; K Egiazarian; Z Nikolov
Journal:  Med Biol Eng Comput       Date:  2001-11       Impact factor: 3.079

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  2 in total

1.  Ideal filtering approach on DCT domain for biomedical signals: index blocked DCT filtering method (IB-DCTFM).

Authors:  Hang Sik Shin; Chungkeun Lee; Myoungho Lee
Journal:  J Med Syst       Date:  2009-04-30       Impact factor: 4.460

2.  Removal of power-line interference from the ECG: a review of the subtraction procedure.

Authors:  Chavdar Levkov; Georgy Mihov; Ratcho Ivanov; Ivan Daskalov; Ivaylo Christov; Ivan Dotsinsky
Journal:  Biomed Eng Online       Date:  2005-08-23       Impact factor: 2.819

  2 in total

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