Literature DB >> 9684459

Genetic-algorithm cancellation of sinusoidal powerline interference in electrocardiograms.

N Kumaravel1, N Nithiyanandam.   

Abstract

The paper describes a method, based on a genetic algorithm, to remove sinusoidal powerline interference in electrocardiograms. There is a report on the use of the genetic algorithm to remove powerline interference for two different types of interference, powerline interference with frequency drift, and interference with frequency drift as well as third- harmonic distortion. The studies are conducted on electrocardiograms with simulated interference and also on actual noisy electrocardiogram records. The results obtained using the genetic algorithm in these cases of interference are presented.

Mesh：

Year:  1998        PMID： 9684459     DOI： 10.1007/bf02510742

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


  9 in total

1.  Frequency-domain digital filtering techniques for the removal of powerline noise with application to the electrocardiogram.

Authors:  M Ferdjallah; R E Barr
Journal:  Comput Biomed Res       Date:  1990-10

2.  Applications of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection.

Authors:  N V Thakor; Y S Zhu
Journal:  IEEE Trans Biomed Eng       Date:  1991-08       Impact factor: 4.538

3.  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

4.  Genetic design of optimum linear and nonlinear QRS detectors.

Authors:  R Poli; S Cagnoni; G Valli
Journal:  IEEE Trans Biomed Eng       Date:  1995-11       Impact factor: 4.538

5.  A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG.

Authors:  P S Hamilton
Journal:  IEEE Trans Biomed Eng       Date:  1996-01       Impact factor: 4.538

6.  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

7.  Digital filters for real-time ECG signal processing using microprocessors.

Authors:  M L Ahlstrom; W J Tompkins
Journal:  IEEE Trans Biomed Eng       Date:  1985-09       Impact factor: 4.538

8.  A learning filter for removing noise interference.

Authors:  G S Furno; W J Tompkins
Journal:  IEEE Trans Biomed Eng       Date:  1983-04       Impact factor: 4.538

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

Authors:  J A Van Alsté; T S Schilder
Journal:  IEEE Trans Biomed Eng       Date:  1985-12       Impact factor: 4.538
  9 in total
  1 in total

1.  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
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.