Effect of cardiac vagal outflow on complexity and fractal correlation properties of heart rate dynamics

Summary 1 Cardiac vagal outflow is the major factor determining the magnitude of heart rate (HR) variability analysed by traditional time and frequency domain methods. New analysis techniques, such as fractal and complexity methods, have been developed to probe non‐linear features in HR behaviour that may not be detectable by traditional methods. 2 We investigated the effects of vagal blockade (glycopyrrolate i.v. 5 μg kg−1 h−1 for 2 h, n = 8 vs. unmedicated control group, n = 8) and various breathing patterns (n = 12) on two non‐linear measures of HR variability – detrended fluctuation analysis (DFA) and approximate entropy (ApEn) – in healthy male volunteers. 3 Glycopyrrolate decreased the mean (±SD) ApEn from 1.46 ± 0.18 to 0.85 ± 0.24 (P = 0.001 in comparison with the control group), and increased the short‐term (α1) and intermediate‐term (α2) fractal scaling exponents of DFA, α1 from 0.96 ± 0.19 to 1.43 ± 0.29 (P = 0.003) and α2 from 1.13 ± 0.10 to 1.34 ± 0.14 (P