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14 results on '"Krohova, Jana"'

13. A validity and reliability study of Conditional Entropy Measures of Pulse Rate Variability

Author

Zuzana Turianikova, Alessandro Busacca, Luca Faes, Michal Javorka, Barbora Czippelova, Riccardo Pernice, Jana Krohova, Pernice, Riccardo, Javorka, Michal, Krohova, Jana, Czippelova, Barbora, Turianikova, Zuzana, Busacca, Alessandro, and Faes, Luca

Subjects
020205 medical informatics, Computer science, Entropy, 0206 medical engineering, Validity, 02 engineering and technology, Settore ING-INF/01 - Elettronica, Electrocardiography, Pulse Rate Variability (PRV), Heart Rate, Photoplethysmogram, 0202 electrical engineering, electronic engineering, information engineering, Humans, Entropy (information theory), Heart rate variability, Entropy (energy dispersal), Time series, Photoplethysmography, Entropy (arrow of time), Statistical hypothesis testing, Conditional entropy, Entropy (statistical thermodynamics), Reproducibility of Results, Heart Rate Variability (HRV), 020601 biomedical engineering, Settore ING-INF/06 - Bioingegneria Elettronica E Informatica, complexity, Algorithm, Entropy (order and disorder)
Abstract

In this work, we present the feasibility to use a simpler methodological approach for the assessment of the short-term complexity of Heart Rate Variability (HRV). Specifically, we propose to exploit Pulse Rate Variability (PRV) recorded through photoplethysmography in place of HRV measured from the ECG, and to compute complexity via a linear Gaussian approximation in place of the standard model-free methods (e.g., nearest neighbor entropy estimates) usually applied to HRV. Linear PRV-based and model-free HRV-based complexity measures were compared via statistical tests, correlation analysis and Bland-Altman plots, demonstrating an overall good agreement. These results support the applicability of the simpler proposed approach, which is faster and easier-to-implement, making our approach eligible for portable/wearable devices and thus broadening the out-of-lab accessibility of autonomic indexes.

Published
2019
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14. Information transfer and information modification to identify the structure of cardiovascular and cardiorespiratory networks

Author

Barbora Czippelova, Zuzana Turianikova, Michal Javorka, Giandomenico Nollo, Jana Krohova, Luca Faes, Faes, Luca, Nollo, Giandomenico, Krohova, Jana, Czippelova, Barbora, Turianikova, Zuzana, and Javorka, Michal

Subjects
medicine.medical_specialty, Information transfer, Posture, 0206 medical engineering, Biomedical Engineering, Blood Pressure, Health Informatics, 02 engineering and technology, computer.software_genre, Cardiovascular System, Diastolic arterial pressure, Autonomic regulation, 03 medical and health sciences, 0302 clinical medicine, Heart Rate, Internal medicine, Bayesian multivariate linear regression, medicine, Resting state fMRI, business.industry, Respiration, Multivariate time series analysis, Healthy subjects, Cardiorespiratory fitness, 020601 biomedical engineering, Signal Processing, Settore ING-INF/06 - Bioingegneria Elettronica E Informatica, Linear Models, Cardiology, Data mining, business, computer, 030217 neurology & neurosurgery
Abstract

To fully elucidate the complex physiological mechanisms underlying the short-term autonomic regulation of heart period (H), systolic and diastolic arterial pressure (S, D) and respiratory (R) variability, the joint dynamics of these variables need to be explored using multivariate time series analysis. This study proposes the utilization of information-theoretic measures to measure causal interactions between nodes of the cardiovascular/cardiorespiratory network and to assess the nature (synergistic or redundant) of these directed interactions. Indexes of information transfer and information modification are extracted from the H, S, D and R series measured from healthy subjects in a resting state and during postural stress. Computations are performed in the framework of multivariate linear regression, using bootstrap techniques to assess on a single-subject basis the statistical significance of each measure and of its transitions across conditions. We find patterns of information transfer and modification which are related to specific cardiovascular and cardiorespiratory mechanisms in resting conditions and to their modification induced by the orthostatic stress.

Published
2017
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