1989
DOI: 10.1016/0002-9149(89)90646-2
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Role of bandpass filters in optimizing the value of the signal-averaged electrocardiogram as a predictor of the results of programmed stimulation

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Cited by 86 publications
(19 citation statements)
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“…Previous reports suggest that the diagnostic criteria between normal and abnormal SAE values and the late potentials of QRS vary, depending on the equipment used and how the filters are set. However, according to these reports, values determined from a 95% confidence interval of normal subjects [3][4][5][6][7] or determined standard values for comparison of myocardial infarction patients with and without ventricular tachycardia [8][9][10] those criteria varied. The difference in RMS 20 caused by (F) and (B) filter direction was also observed in our study.…”
Section: Discussionmentioning
confidence: 99%
“…Previous reports suggest that the diagnostic criteria between normal and abnormal SAE values and the late potentials of QRS vary, depending on the equipment used and how the filters are set. However, according to these reports, values determined from a 95% confidence interval of normal subjects [3][4][5][6][7] or determined standard values for comparison of myocardial infarction patients with and without ventricular tachycardia [8][9][10] those criteria varied. The difference in RMS 20 caused by (F) and (B) filter direction was also observed in our study.…”
Section: Discussionmentioning
confidence: 99%
“…Ventricular late potentials have been analyzed in several frequency bands aiming not only to identify the frequency content of these signals, but also to investigate the region of the frequency spectrum that allows its identification with a higher diagnostic efficiency 19,20 . This type of investigation is mainly justified from the viewpoint of electrocardiographic signal processing, because high-pass cut-off filters with lower cut-off frequencies (25Hz) preserve the high-energy QRS characteristics, while higher cut-off frequencies (80Hz) remove the high energies and preserve high frequency signals originating in small groups of myocardial fibers in regions of slow and fragmented conduction.…”
Section: Discussionmentioning
confidence: 99%
“…The variable RMS40 was transformed into a natural logarithm (Lnt) prior to analysis, due to its asymmetric probability distribution 20 . This procedure not only statistically normalizes the distribution, but also reduces data variability, concentrating them around the mean.…”
Section: Methodsmentioning
confidence: 99%
“…30 Three parameters were examined at 25 and 40 Hz high-pass filter settings; 31 QRS duration (QRSd), that is the duration of the filtered QRS; root-mean-square voltage of the terminal 40 msec (RMS 40 ) of the filtered QRS; and low-amplitude signal duration (LASd), that is the duration of low amplitude signals measured from the filtered QRS offset backward to when the signal reaches the voltage of 40 V. According to normal values in our laboratory, late potentials were considered to be present if at least one of the above mentioned parameters was abnormal at both 25 and 40 Hz filter settings (QRSd Ͼ109 and 106 msec, RMS 40 , Ͻ28 and 16 V and LASd Ͼ29 and 40 msec, respectively).…”
Section: Protocol Of the Studymentioning
confidence: 99%
“…The greater impairment in sympatho-vagal balance observed in hypertensive patients with concentric LVH may contribute to explain why this subgroup experiences the highest incidence of cardiovascular events. 16,31,55 Therefore, in hypertensive heart disease the kind of left ventricular remodeling, more than the increased ventricular mass, seems to be an important factor in influencing the autonomic modulation of the heart. Ventricular late potentials, used in an attempt to unmask patients at higher risk of ventricular arrhythmias, were found in a small number of patients, and no significant differences were observed either between patients with and without LVH or between patients with concentric and eccentric LVH, confirming previous data from our laboratory.…”
Section: Allmentioning
confidence: 99%