DocumentCode
1146176
Title
Reduction of electromyographic noise in the signal-averaged electrocardiogram by spectral decomposition
Author
Barbosa, P.R.B. ; Barbosa, E.C. ; Nadal, Jeremy
Author_Institution
COPPE, Fed. Univ. of Rio de Janeiro, Brazil
Volume
50
Issue
1
fYear
2003
Firstpage
114
Lastpage
117
Abstract
This paper proposes a technique to improve the quality of high-resolution electrocardiogram by weighting the coherent average of beats by a function of the energy of the corrupting myoelectric noise, prior to subsequent detection of ventricular late potentials. The results obtained with 20 patients indicate the method requires fewer beats than conventional nonweighted average to achieve the same noise level.
Keywords
electrocardiography; electromyography; medical signal processing; noise; spectral analysis; ECG; EMG; beats coherent average weighting; conventional nonweighted average; corrupting myoelectric noise energy; electrodiagnostics; electromyographic noise reduction; high-resolution electrocardiogram quality improvement; spectral decomposition; Biomedical engineering; Biomedical measurements; Electrocardiography; Electromyography; Hospitals; Noise measurement; Noise reduction; Signal to noise ratio; Wiener filter; Working environment noise;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2002.807317
Filename
1179139
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