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

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

Risultato della ricerca: Conference contribution

1 Citazioni (Scopus)

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.
Lingua originaleEnglish
Titolo della pubblicazione ospite2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Pagine5568-5571
Numero di pagine4
Stato di pubblicazionePublished - 2019

Serie di pubblicazioni

NomeIEEE ENGINEERING IN MEDICINE AND BIOLOGY ... ANNUAL CONFERENCE PROCEEDINGS

All Science Journal Classification (ASJC) codes

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  • ???subjectarea.asjc.2200.2204???
  • ???subjectarea.asjc.1700.1707???
  • ???subjectarea.asjc.2700.2718???

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