Time-Frequency Equivalence in Removing Sinusoidal Interference from Electrocardiograms

Brandon S. Coventry; Cecil W. Thomas

doi:doi:10.11648/j.ijbse.20140204.11

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Time-Frequency Equivalence in Removing Sinusoidal Interference from Electrocardiograms

Brandon S. Coventry, Cecil W. Thomas

Published in International Journal of Biomedical Science and Engineering (Volume 2, Issue 4)

Received: 20 August 2014 Accepted: 6 September 2014 Published: 20 September 2014

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Abstract

In recorded bioelectric signals, such as the electrocardiogram, sinusoidal interference from power lines or other sources causes distortion in the signal and may lead to misdiagnosis. For long or continuous recordings, adaptive filtering can be effective in minimizing the interference. For short recording, the options are limited. Subtractive methods have been used, but they do not distinguish between the interference and signal components with similar frequency. A new method can distinguish between signal and interference, so that the interference can be removed with very small residual error. In clinical recordings, the frequency of powerline interference is known, but the adaptive nature of the algorithm allows extension to cases when the frequency of interference is not known exactly.

Published in	International Journal of Biomedical Science and Engineering (Volume 2, Issue 4)
DOI	10.11648/j.ijbse.20140204.11
Page(s)	27-32
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Interference Removal, Electrocardiogram, Time-Frequency, Filtering

References

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APA Style

Brandon S. Coventry, Cecil W. Thomas. (2014). Time-Frequency Equivalence in Removing Sinusoidal Interference from Electrocardiograms. International Journal of Biomedical Science and Engineering, 2(4), 27-32. https://doi.org/10.11648/j.ijbse.20140204.11

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ACS Style

Brandon S. Coventry; Cecil W. Thomas. Time-Frequency Equivalence in Removing Sinusoidal Interference from Electrocardiograms. Int. J. Biomed. Sci. Eng. 2014, 2(4), 27-32. doi: 10.11648/j.ijbse.20140204.11

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AMA Style

Brandon S. Coventry, Cecil W. Thomas. Time-Frequency Equivalence in Removing Sinusoidal Interference from Electrocardiograms. Int J Biomed Sci Eng. 2014;2(4):27-32. doi: 10.11648/j.ijbse.20140204.11

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@article{10.11648/j.ijbse.20140204.11,
  author = {Brandon S. Coventry and Cecil W. Thomas},
  title = {Time-Frequency Equivalence in Removing Sinusoidal Interference from Electrocardiograms},
  journal = {International Journal of Biomedical Science and Engineering},
  volume = {2},
  number = {4},
  pages = {27-32},
  doi = {10.11648/j.ijbse.20140204.11},
  url = {https://doi.org/10.11648/j.ijbse.20140204.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijbse.20140204.11},
  abstract = {In recorded bioelectric signals, such as the electrocardiogram, sinusoidal interference from power lines or other sources causes distortion in the signal and may lead to misdiagnosis. For long or continuous recordings, adaptive filtering can be effective in minimizing the interference. For short recording, the options are limited. Subtractive methods have been used, but they do not distinguish between the interference and signal components with similar frequency. A new method can distinguish between signal and interference, so that the interference can be removed with very small residual error. In clinical recordings, the frequency of powerline interference is known, but the adaptive nature of the algorithm allows extension to cases when the frequency of interference is not known exactly.},
 year = {2014}
}

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TY  - JOUR
T1  - Time-Frequency Equivalence in Removing Sinusoidal Interference from Electrocardiograms
AU  - Brandon S. Coventry
AU  - Cecil W. Thomas
Y1  - 2014/09/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ijbse.20140204.11
DO  - 10.11648/j.ijbse.20140204.11
T2  - International Journal of Biomedical Science and Engineering
JF  - International Journal of Biomedical Science and Engineering
JO  - International Journal of Biomedical Science and Engineering
SP  - 27
EP  - 32
PB  - Science Publishing Group
SN  - 2376-7235
UR  - https://doi.org/10.11648/j.ijbse.20140204.11
AB  - In recorded bioelectric signals, such as the electrocardiogram, sinusoidal interference from power lines or other sources causes distortion in the signal and may lead to misdiagnosis. For long or continuous recordings, adaptive filtering can be effective in minimizing the interference. For short recording, the options are limited. Subtractive methods have been used, but they do not distinguish between the interference and signal components with similar frequency. A new method can distinguish between signal and interference, so that the interference can be removed with very small residual error. In clinical recordings, the frequency of powerline interference is known, but the adaptive nature of the algorithm allows extension to cases when the frequency of interference is not known exactly.
VL  - 2
IS  - 4
ER  -

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Author Information

Brandon S. Coventry

Department of Electrical & Computer Engineering, Saint Louis University, 3450 Lindell Blvd., St. Louis, MO, 63103, USA
Cecil W. Thomas

Department of Biomedical Engineering, Saint Louis University, 3507 Lindell Blvd., St. Louis, MO 63103, USA

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APA Style

Brandon S. Coventry, Cecil W. Thomas. (2014). Time-Frequency Equivalence in Removing Sinusoidal Interference from Electrocardiograms. International Journal of Biomedical Science and Engineering, 2(4), 27-32. https://doi.org/10.11648/j.ijbse.20140204.11

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ACS Style

Brandon S. Coventry; Cecil W. Thomas. Time-Frequency Equivalence in Removing Sinusoidal Interference from Electrocardiograms. Int. J. Biomed. Sci. Eng. 2014, 2(4), 27-32. doi: 10.11648/j.ijbse.20140204.11

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AMA Style

Brandon S. Coventry, Cecil W. Thomas. Time-Frequency Equivalence in Removing Sinusoidal Interference from Electrocardiograms. Int J Biomed Sci Eng. 2014;2(4):27-32. doi: 10.11648/j.ijbse.20140204.11

Copy | Download

@article{10.11648/j.ijbse.20140204.11,
  author = {Brandon S. Coventry and Cecil W. Thomas},
  title = {Time-Frequency Equivalence in Removing Sinusoidal Interference from Electrocardiograms},
  journal = {International Journal of Biomedical Science and Engineering},
  volume = {2},
  number = {4},
  pages = {27-32},
  doi = {10.11648/j.ijbse.20140204.11},
  url = {https://doi.org/10.11648/j.ijbse.20140204.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijbse.20140204.11},
  abstract = {In recorded bioelectric signals, such as the electrocardiogram, sinusoidal interference from power lines or other sources causes distortion in the signal and may lead to misdiagnosis. For long or continuous recordings, adaptive filtering can be effective in minimizing the interference. For short recording, the options are limited. Subtractive methods have been used, but they do not distinguish between the interference and signal components with similar frequency. A new method can distinguish between signal and interference, so that the interference can be removed with very small residual error. In clinical recordings, the frequency of powerline interference is known, but the adaptive nature of the algorithm allows extension to cases when the frequency of interference is not known exactly.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Time-Frequency Equivalence in Removing Sinusoidal Interference from Electrocardiograms
AU  - Brandon S. Coventry
AU  - Cecil W. Thomas
Y1  - 2014/09/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ijbse.20140204.11
DO  - 10.11648/j.ijbse.20140204.11
T2  - International Journal of Biomedical Science and Engineering
JF  - International Journal of Biomedical Science and Engineering
JO  - International Journal of Biomedical Science and Engineering
SP  - 27
EP  - 32
PB  - Science Publishing Group
SN  - 2376-7235
UR  - https://doi.org/10.11648/j.ijbse.20140204.11
AB  - In recorded bioelectric signals, such as the electrocardiogram, sinusoidal interference from power lines or other sources causes distortion in the signal and may lead to misdiagnosis. For long or continuous recordings, adaptive filtering can be effective in minimizing the interference. For short recording, the options are limited. Subtractive methods have been used, but they do not distinguish between the interference and signal components with similar frequency. A new method can distinguish between signal and interference, so that the interference can be removed with very small residual error. In clinical recordings, the frequency of powerline interference is known, but the adaptive nature of the algorithm allows extension to cases when the frequency of interference is not known exactly.
VL  - 2
IS  - 4
ER  -

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