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Items: 1 to 20 of 96

1.
2.

Reduction of CPR artifacts in the ventricular fibrillation ECG by coherent line removal.

Amann A, Klotz A, Niederklapfer T, Kupferthaler A, Werther T, Granegger M, Lederer W, Baubin M, Lingnau W.

Biomed Eng Online. 2010 Jan 6;9:2. doi: 10.1186/1475-925X-9-2.

3.

ECG signal denoising and baseline wander correction based on the empirical mode decomposition.

Blanco-Velasco M, Weng B, Barner KE.

Comput Biol Med. 2008 Jan;38(1):1-13. Epub 2007 Jul 31.

PMID:
17669389
4.
5.

Arrhythmia ECG noise reduction by ensemble empirical mode decomposition.

Chang KM.

Sensors (Basel). 2010;10(6):6063-80. doi: 10.3390/s100606063. Epub 2010 Jun 17.

6.

A multidifferentiator-based approach to the reliable determination of T-wave offset in electrocardiograms.

Zhou X, Wei D.

J Electrocardiol. 2011 May-Jun;44(3):330-9. doi: 10.1016/j.jelectrocard.2010.11.003. Epub 2011 Jan 26.

PMID:
21276591
7.

Time-frequency modelling and discrimination of noise in the electrocardiogram.

Augustyniak P.

Physiol Meas. 2003 Aug;24(3):753-67.

PMID:
14509312
8.

Nonlinear trend estimation of the ventricular repolarization segment for T-wave alternans detection.

Blanco-Velasco M, Cruz-Roldán F, Godino-Llorente JI, Barner KE.

IEEE Trans Biomed Eng. 2010 Oct;57(10):2402-12. doi: 10.1109/TBME.2010.2048109. Epub 2010 Apr 19.

PMID:
20409985
9.

A particle filter framework for the estimation of heart rate from ECG signals corrupted by motion artifacts.

Nathan V, Akkaya I, Jafari R.

Conf Proc IEEE Eng Med Biol Soc. 2015;2015:6560-5. doi: 10.1109/EMBC.2015.7319896.

PMID:
26737796
10.

[Arithmetic for subtracting power line interference based on estimating sinusoidal parameters].

Hu X, Wei W, Liu C, Han X.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2010 Dec;27(6):1243-6. Chinese.

PMID:
21374972
11.

A method for reduction of power line interference in the ECG.

Mitov IP.

Med Eng Phys. 2004 Dec;26(10):879-87.

PMID:
15567704
12.

Artifact processing during exercise testing.

Kaiser W, Findeis M.

J Electrocardiol. 1999;32 Suppl:212-9.

PMID:
10688328
13.

Online digital filter and QRS detector applicable in low resource ECG monitoring systems.

Tabakov S, Iliev I, Krasteva V.

Ann Biomed Eng. 2008 Nov;36(11):1805-15. doi: 10.1007/s10439-008-9553-5. Epub 2008 Aug 28.

PMID:
18752068
14.

Characterization and elimination of AC noise in electrocardiograms: a comparison of digital filtering methods.

McManus CD, Neubert KD, Cramer E.

Comput Biomed Res. 1993 Feb;26(1):48-67.

PMID:
8444027
15.

ECG denoising based on the empirical mode decomposition.

Weng B, Blanco-Velasco M, Barner KE.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:1-4.

PMID:
17945967
16.

Artifacts and noise removal in electrocardiograms using independent component analysis.

Chawla MP, Verma HK, Kumar V.

Int J Cardiol. 2008 Sep 26;129(2):278-81. Epub 2007 Aug 8.

PMID:
17689714
17.

Automatic online detection of atrial fibrillation based on symbolic dynamics and Shannon entropy.

Zhou X, Ding H, Ung B, Pickwell-MacPherson E, Zhang Y.

Biomed Eng Online. 2014 Feb 17;13(1):18. doi: 10.1186/1475-925X-13-18.

18.

Noise and baseline wandering suppression of ECG signals by morphological filter.

Taouli SA, Bereksi-Reguig F.

J Med Eng Technol. 2010 Feb;34(2):87-96. doi: 10.3109/03091900903336886. Review.

PMID:
20028196
19.

Filtering electrocardiographic signals using an unbiased and normalized adaptive noise reduction system.

Wu Y, Rangayyan RM, Zhou Y, Ng SC.

Med Eng Phys. 2009 Jan;31(1):17-26. doi: 10.1016/j.medengphy.2008.03.004. Epub 2008 May 9. Erratum in: Med Eng Phys. 2009 Jun;31(5):614.

PMID:
18472295

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