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- W2912381916 abstract "Nonlinear Heart Rate Variability (HRV) analysis has been successfully applied to assess autonomic nervous system (ANS) regulation of the cardiovascular system in health and disease. Here, the spectral complexity framework is introduced for characterization of time-varying HRV spectral components. Correlation dimension, D 2 , and maximum approximate entropy ApEn max , were calculated on time-varying HRV spectral series derived from a linear point-process model, which was fitted to RR series from 14 healthy subjects undergoing selective ANS blockade during postural changes. Complexity quantification of the instantaneous LF component using D2 revealed significantly higher values in standing vs. supine under atropine (vagal blockade), but not under propranolol (sympathetic blockade), in contrast to the results found under control conditions. Similar trends were found for ApEn max . Conversely, no statistically significant differences were found in the complexity indices evaluated for the instantaneous HF component, either for standing vs. supine or blockades vs. control. The proposed framework enriches the current knowledge on complex ANS regulation of the heart, supporting the fact that previously reported reduction in cardiovascular complexity during postural changes is mainly vagally driven." @default.
- W2912381916 created "2019-02-21" @default.
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- W2912381916 date "2018-12-30" @default.
- W2912381916 modified "2023-10-03" @default.
- W2912381916 title "Inhomogeneous Heart Rate Variability Spectral Complexity: A Preliminary Evaluation With Gravitational Stimuli Under Selective Autonomic Blockade" @default.
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- W2912381916 doi "https://doi.org/10.22489/cinc.2018.312" @default.
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