Literature DB >> 4077083

Removal of base-line wander and power-line interference from the ECG by an efficient FIR filter with a reduced number of taps.

J A Van Alsté, T S Schilder.   

Abstract

Mesh：

Year:  1985        PMID： 4077083     DOI： 10.1109/TBME.1985.325514

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN： 0018-9294            Impact factor:   4.538


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  20 in total

1.  Application of a wavelet adaptive filter to minimise distortion of the ST-segment.

Authors:  K L Park; K J Lee; H R Yoon
Journal:  Med Biol Eng Comput       Date:  1998-09       Impact factor: 2.602

2.  Personal computer system for ECG ST-segment recognition based on neural networks.

Authors:  Y Suzuki; K Ono
Journal:  Med Biol Eng Comput       Date:  1992-01       Impact factor: 2.602

3.  Integer coefficient bandpass filter for the simultaneous removal of baseline wander, 50 and 100 Hz interference from the ECG.

Authors:  R Wariar; C Eswaran
Journal:  Med Biol Eng Comput       Date:  1991-05       Impact factor: 2.602

4.  Genetic-algorithm cancellation of sinusoidal powerline interference in electrocardiograms.

Authors:  N Kumaravel; N Nithiyanandam
Journal:  Med Biol Eng Comput       Date:  1998-03       Impact factor: 2.602

5.  Quantitative analysis of errors due to power-line interference and base-line drift in detection of onsets and offsets in ECG using wavelets.

Authors:  J S Sahambi; S N Tandon; R K Bhatt
Journal:  Med Biol Eng Comput       Date:  1997-11       Impact factor: 2.602

6.  Time-varying digital filtering of ECG baseline wander.

Authors:  L Sörnmo
Journal:  Med Biol Eng Comput       Date:  1993-09       Impact factor: 2.602

7.  Digital filters for the detection of late potentials in high-resolution ECG.

Authors:  B I Gramatikov
Journal:  Med Biol Eng Comput       Date:  1993-07       Impact factor: 2.602

8.  Field programmable gate array based fuzzy neural signal processing system for differential diagnosis of QRS complex tachycardia and tachyarrhythmia in noisy ECG signals.

Authors:  Shubhajit Roy Chowdhury
Journal:  J Med Syst       Date:  2010-07-02       Impact factor: 4.460

9.  Classification of cardiac patient states using artificial neural networks.

Authors:  N Kannathal; U Rajendra Acharya; Choo Min Lim; Pk Sadasivan; Sm Krishnan
Journal:  Exp Clin Cardiol       Date:  2003

10.  Effects of Between- and Within-Subject Variability on Autonomic Cardiorespiratory Activity during Sleep and Their Limitations on Sleep Staging: A Multilevel Analysis.

Authors:  Xi Long; Reinder Haakma; Tim R M Leufkens; Pedro Fonseca; Ronald M Aarts
Journal:  Comput Intell Neurosci       Date:  2015-08-20
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