1997
DOI: 10.1152/ajpheart.1997.272.3.h1094
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Relationship between diabetic autonomic dysfunction and heart rate variability assessed by recurrence plot

Abstract: Beat-to-beat heart rate (HR) and blood pressure were measured by the Finapres system in 44 healthy and 64 diabetic subjects in the at-rest condition. Autonomic control in diabetic subjects was assessed by the Ewing test. HR variability was explored by both linear and nonlinear methods. Linear methods used HR standard deviation and power spectrum. The percentage of the spectrum in the low frequencies was used to assess the sympathetic tone of the autonomic control. The nonlinear method used the "recurrence plot… Show more

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Cited by 37 publications
(26 citation statements)
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“…Discrepancies such as these illustrate the problem of applying linear methodologies (FFT) to nonlinear systems. Mestivier et al (1997) came to the same conclusion after studying heart rate dynamics in patients with diabetic autonomic dysfunction. Interestingly, FFT low-frequency spectral peaks in their heart rate data did not correlate with Ewing scores (clinical standard), whereas successful correlations were obtained between maxline (another RQA variable) and Ewing scores.…”
Section: Discussionmentioning
confidence: 63%
“…Discrepancies such as these illustrate the problem of applying linear methodologies (FFT) to nonlinear systems. Mestivier et al (1997) came to the same conclusion after studying heart rate dynamics in patients with diabetic autonomic dysfunction. Interestingly, FFT low-frequency spectral peaks in their heart rate data did not correlate with Ewing scores (clinical standard), whereas successful correlations were obtained between maxline (another RQA variable) and Ewing scores.…”
Section: Discussionmentioning
confidence: 63%
“…A variety of techniques are available to study the physiological responses to stress including i) cortisol as a measure of HPA-axis activity ii) heart rate variability (HRV) data as a measure of autonomic function and iii) behavioural observations as a measure of the combined effects of both systems. In humans HRV has been used extensively as a marker of autonomic function to assess cardiovascular conditions [26,36], diabetes [30] and psychological disorders such as anxiety and depression [40]. The non-invasive nature of data collection coupled with the availability of highly portable equipment has popularised the use of HRV in veterinary research.…”
Section: Introductionmentioning
confidence: 99%
“…Today, it is rather well established that higher variations of consecutive heartbeat intervals, as well as periodic changes over certain frequencies, are associated with positive health outcomes, whereas lower variations are associated with negative health outcomes. Measures of HRV have for instance been shown to predict cardiovascular disease (Schroeder et al 2003;Liao et al 1996;Singh et al 1998;Arora et al 2004), metabolic disorders (Karason et al 1999;Rodriguez-Colón et al 2010;Liao et al 1995;Singh et al 2000;Mestivier et al 1997), psychological disorders (Rechlin et al 1994;Agelink et al 2002;Miu et al 2009;Yeragani et al 1998;Henry et al 2010; Bar et al 2007;Boettger et al 2006) and death (Korach et al 2001;Haji-Michael et al 2000;Nolan et al 1998;Makikallio et al 2005;La Rovere et al 2003).…”
Section: Introductionmentioning
confidence: 99%