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
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;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2002.807317