abstract

• Orthostatic stress via a head-up tilt test (HUTT) has been clinically used to rule out vasovagal syncope (VVS), which is generated by an inappropriate autonomic nervous system (ANS) regulation. VVS has been evaluated mainly by hemodynamic variables and linear analysis of heart rate variability. In this study, the estimation of the local largest Lyapunov exponent (LLEL) was used to assess the predictability of the beat-to-beat interval (BBI), systolic (SBP), and diastolic blood pressure (DBP) times series to analyze in a nonlinear and time-varying fashion the impact of HUTT on ANS regulation in young females, healthy and patients with VVS. The estimation of LLEL of the time series was achieved in both the original domain (full-band) and narrow-band signals by the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN). Results pointed out that during the orthostatic phase (OPH), the VVS patients showed: (1) significantly higher predictability (less complexity) of the BBI time series, i.e., significant altered cardiac vagal modulation, (2) less predictability of SBP variability suggesting altered sympathetic modulation to the vasculature, and (3) LLEL in conjunction with CEEMDAN evidenced an impairment of cardiovascular autonomic control. © 2023 World Scientific Publishing Company.

authors

• Aljama-Corrales T.
• Charleston-Villalobos S.
• Dorantes Méndez Guadalupe
• González-Camarena R.
• Méndez-Magdaleno L.E.

publication date

• 2023-01-01

published in

• Fluctuation and Noise Letters  Journal

keywords

• data-driven decomposition; Heart rate variability; nonlinear analysis; time-varying analysis; vasovagal syncope

Digital Object Identifier (DOI)

• 10.1142/S0219477523500050

PubMed ID

start page

end page

volume

• 22

issue

• 1