1986
DOI: 10.1109/tbme.1986.325694
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Power Spectral Analysis of Heart Rate Varability in Sudden Cardiac Death: Comparison to Other Methods

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Cited by 307 publications
(78 citation statements)
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“…Mayers et al (1986) reported the relationship between arrhythmia and HR variability, indicating a transient increase in the L/H ratio before a spontaneous incident of atrial fibrillation. Several reports have related HR variability analyses to the study of TABP.…”
Section: Discussionmentioning
confidence: 99%
“…Mayers et al (1986) reported the relationship between arrhythmia and HR variability, indicating a transient increase in the L/H ratio before a spontaneous incident of atrial fibrillation. Several reports have related HR variability analyses to the study of TABP.…”
Section: Discussionmentioning
confidence: 99%
“…In attempts to understand the neurohumoral mechanism that modulates HR, HRV spectral analysis has been used to define the frequency content of HR in animals ( 2 , 3 ), normal adults ( 4 , 5 , 12 ) and neonates ( 13 ) and in adults after resuscitation from myocardial infarction ( 14 ). Although HRV, defined by power spectral analysis, is widely used in cardiac and noncardiac diseases and clinical investigations, to the best of our knowledge, examining the effects of Kampo on the cardiac autonomic nervous activity using power spectral analysis of HRV in healthy subjects has not been previously described.…”
Section: Effect Of Kampo On Autonomic Nervous Activitymentioning
confidence: 99%
“…Subsequent studies, all relatively small, demonstrated that other measures of heart period variability such as HF power or SDNN index might predict sudden cardiac death better than SDNN. 22,23 Recently, Bigger et al,'0 using power spectrum analysis, reported that, after adjustment for other previously established risk predictors, a strong association was detectable between mortality and total, ULF, and VLF power, whereas LF and HF power were only moderately associated. These researchers pointed out that it will be interesting and important to determine the source of ULF and VLF power because these components of the heart period power spectrum are such powerful independent predictors of mortality and concluded that a better understanding of the origin of changes in these components could lead to hypotheses about interventions aimed at improving After captopril, SDNN, SDANN index, and SDNN index increased significantly and in agreement with the correlation existing between time-and frequency-domain measures of heart period variability.12 LF, ULF, VLF, and total power were higher after captopril.…”
Section: Measures Of Heart Period Variability As Risk Predictors Aftementioning
confidence: 99%