1988
DOI: 10.1016/0165-1838(88)90078-1
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Spectral analysis of heart rate variability in the assessment of autonomic diabetic neuropathy

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Cited by 352 publications
(194 citation statements)
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“…In addition, heart-rate variability (HRV) and, more recently, the sensitivity of spontaneous baroreflex control of the heart rate (baroreflex sensitivity, BRS), have been used to assess autonomic dysfunction as well. It has been proposed that these measures might be even more sensitive than the Ewing battery [4,5,6,7].…”
mentioning
confidence: 99%
“…In addition, heart-rate variability (HRV) and, more recently, the sensitivity of spontaneous baroreflex control of the heart rate (baroreflex sensitivity, BRS), have been used to assess autonomic dysfunction as well. It has been proposed that these measures might be even more sensitive than the Ewing battery [4,5,6,7].…”
mentioning
confidence: 99%
“…[11][12][13][14][15] These methods are able to detect early abnormalities in the autonomic modulation of the cardiovascular system. [16][17][18][19] When evaluated in the time domain, the heart rate variability was reduced in chronic STZ-diabetic rats. 12,20 In another study, Fazan et al 19 observed reduction in the arterial pressure (AP) and heart rate (HR) variability, measured either as the standard deviation or by spectral analysis in chronic STZ-diabetic rats.…”
Section: Introductionmentioning
confidence: 99%
“…In humans with DM, spectral analysis of HR disclosed significant changes in the cardiovascular variability in the frequency domain, which were apparent even before changes in all other standard cardiovascular parameters. 17 Administration of STZ is a well-established method to induce diabetes in rodents, 21 producing a number of cardiovascular changes such as hypotension, bradycardia, decreased AP variability, and impairment of the reflex control of circulation. 4,19,22,23 Since the administration of STZ to Wistar rats induces a diabetic state that is not accompanied by hypertension, 11 its use in spontaneously hypertensive rats (SHR) can produce an animal model more closely related to human diabetes.…”
Section: Introductionmentioning
confidence: 99%
“…HRV is usually studied from the RR time series, either by time-domain methods (Kleiger et al 1993), nonlinear dynamics (Wada et al 1993), or spectral analysis (Pagani et al 1986). HRV analysis has been applied, for example, to study the risk of cardiac electrical instability after myocardial infarction (Bigger et al 1991), to diagnose diabetic neuropathy (Pagani et al 1988), to assess re-innervation after cardiac transplantation (Sands et al 1989) and to evaluate exercise training (Arai et al 1989).…”
Section: Introductionmentioning
confidence: 99%