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 modelfree 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-toimplement, making our approach eligible for portable/wearable devices and thus broadening the out-of-lab accessibility of autonomic indexes.

Pernice, R., Javorka, M., Krohova, J., Czippelova, B., Turianikova, Z., Busacca, A., et al. (2019). A validity and reliability study of Conditional Entropy Measures of Pulse Rate Variability. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 5568-5571) [10.1109/EMBC.2019.8856594].

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

Pernice, Riccardo
;
Busacca, Alessandro;Faes, Luca
2019-01-01

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 modelfree 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-toimplement, making our approach eligible for portable/wearable devices and thus broadening the out-of-lab accessibility of autonomic indexes.
2019
978-1-5386-1311-5
Pernice, R., Javorka, M., Krohova, J., Czippelova, B., Turianikova, Z., Busacca, A., et al. (2019). A validity and reliability study of Conditional Entropy Measures of Pulse Rate Variability. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 5568-5571) [10.1109/EMBC.2019.8856594].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/393703
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