6533b835fe1ef96bd129ffc8

RESEARCH PRODUCT

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

Zuzana TurianikovaAlessandro BusaccaLuca FaesMichal JavorkaBarbora CzippelovaRiccardo PerniceJana Krohova

subject

020205 medical informaticsComputer scienceEntropy0206 medical engineeringValidity02 engineering and technologySettore ING-INF/01 - ElettronicaElectrocardiographyPulse Rate Variability (PRV)Heart RatePhotoplethysmogram0202 electrical engineering electronic engineering information engineeringHumansEntropy (information theory)Heart rate variabilityEntropy (energy dispersal)Time seriesPhotoplethysmographyEntropy (arrow of time)Statistical hypothesis testingConditional entropyEntropy (statistical thermodynamics)Reproducibility of ResultsHeart Rate Variability (HRV)020601 biomedical engineeringSettore ING-INF/06 - Bioingegneria Elettronica E InformaticacomplexityAlgorithmEntropy (order and disorder)

description

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.

yearjournalcountryeditionlanguage
2019-07-012019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
https://doi.org/10.1109/embc.2019.8856594