The study demonstrates that short heart period variability recordings contain two distinct types of nonlinear dynamics operating on different temporal scales, highlighting the need for multiscale analysis in heart rate variability assessment.
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Indicates distinct nonlinear dynamics on different scales in short HRV; leaves open whether multiscale metrics improve fetal or adult risk stratification.
Two diverse complexity metrics quantifying time irreversibility and local prediction, in connection with a surrogate data approach, were utilized to detect nonlinear dynamics in short heart period (HP) variability series recorded in fetuses, as a function of the gestational period, and in healthy humans, as a function of the magnitude of the orthostatic challenge. The metrics indicated the presence of two distinct types of nonlinear HP dynamics characterized by diverse ranges of time scales. These findings stress the need to render more specific the analysis of nonlinear components of HP dynamics by accounting for different temporal scales.
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Porta et al. (2015) studied this question.
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