title: Reduction of electromyographic noise in the signal-averaged electrocardiogram by spectral decomposition.
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.
authors.affiliation: Biomedical Engineering Program, COPPE, Federal University of Rio de Janeiro and Pedro Ernesto University Hospital, UERJ, Rio de Janeiro, Brazil.
authors.forename: Paulo Roberto B
authors.initials: PR
authors.lastname: Barbosa
authors.forename: José
authors.initials: J
authors.lastname: Barbosa-Filho
authors.forename: Carlos Alberto M
authors.initials: CA
authors.lastname: de Sá
authors.forename: Eduardo C
authors.initials: EC
authors.lastname: Barbosa
authors.forename: Jurandir
authors.initials: J
authors.lastname: Nadal
mesh_terms: D000465:Algorithms; D016477:Artifacts; D004562:Electrocardiography / Q000379:methods*; D004576:Electromyography / Q000379:methods*; D006801:Humans; D007366:Intercostal Muscles / Q000502:physiology; D008954:Models, Biological; D015233:Models, Statistical; D009068:Movement / Q000502:physiology; D011786:Quality Control; D012143:Respiratory Physiological Phenomena; D012815:Signal Processing, Computer-Assisted; D013223:Statistics as Topic; D013269:Stochastic Processes; D013909:Thorax / Q000502:physiology