0000000000599520

AUTHOR

Jana Cernanova Krohova

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Feasibility of Linear Parametric Estimation of Dynamic Information Measures to assess Physiological Stress from Short-Term Cardiovascular Variability

2021

Extensive efforts have been recently devoted to implement fast and reliable algorithms capable of assessing the physiological response of the organism to physiological stress. In this study, we propose the comparison between model-free and linear parametric methods as regards their ability to detect alterations in the dynamics and in the complexity of cardiovascular and respiratory variability evoked by postural and mental stress. Dynamic entropy (DE) and information storage (IS) measures were calculated on three physiological time-series, i.e. heart period, respiratory volume and systolic arterial pressure, on 61 healthy subjects monitored in resting conditions as well as during head-up ti…

Dynamic entropylinear parametric estimationHeartCardiovascular Systeminformation storagesystolic arterial pressureHeart RatePregnancyStress PhysiologicalSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaFeasibility StudiesHumansFemaleheart rate variability (HRV)Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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