2012
DOI: 10.1007/s10286-012-0160-z
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Abstract: There was no difference between the groups regarding cardiac autonomic modulation by linear and nonlinear methods, which may be due to beta-blocker use, coronary angioplasty and the exercise capacity of healthy subjects.

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Cited by 27 publications
(25 citation statements)
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“…More specifically, analysis suggests that a reduction in vagal modulation leads to a decrease in complexity indices. This observation is in agreement with data reported in pathological subjects in [10] and data involving pharmacological blockade reported in [13].…”
Section: Discussionsupporting
confidence: 94%
See 1 more Smart Citation
“…More specifically, analysis suggests that a reduction in vagal modulation leads to a decrease in complexity indices. This observation is in agreement with data reported in pathological subjects in [10] and data involving pharmacological blockade reported in [13].…”
Section: Discussionsupporting
confidence: 94%
“…Linear and nonlinear mathematical modeling have been used for HRV analysis [1,2], with an emphasis, in recent years, on the nonlinear indices [3,4], which may directly characterize the complexity, irregularity and predictability of the properties of biological systems and complement conventional measures of variability [5][6][7][8][9][10][11][12][13]. Among the indices, some of them were devised for measuring complexity of the cardiovascular control, e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Rest heart rate, Systolic Blood Pressure (SBP) or Diastolic Blood Pressure (DBP) did not differ between groups. Body weight was significantly different between groups but we have no reason to believe that it interfered with the dependent variables [15,16].…”
Section: Discussionmentioning
confidence: 99%
“…Both linear and nonlinear methods are used to analyse heart rate in healthy subjects and patients with different pathologies [2][3][4]. The nonlinear methods usually supplement the linear ones [5][6][7][8][9][10][11][12]. Many authors especially claim the prognostic value of nonlinear analysis [13][14][15][16][17][18][19].…”
Section: Introductionmentioning
confidence: 99%