Comparison between permutation and coarse-grained entropy approaches for the assessment of short-term complexity of heart period variability

Alberto Porta, Vlasta Bari, Andrea Marchi, Tito Bassani, Paolo Castiglioni, Marco Di Rienzo, Andrei Cividjian, Luc Quintin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The study compares permutation and coarse-grained entropy approaches for the assessment of short-term complexity of the cardiovascular control from heart period (HP) variability recordings. Approaches were applied to simulations and to HP variability series recorded during complete vagal blockade obtained via administration of a high dose of atropine (AT). Differences between the estimated complexity indexes derived from both simulations and real data indicated that permutation entropy has a larger sensitivity to noise than coarse-grained entropy. We recommend caution in applying permutation entropy in presence of short HP variability series characterized by a low signal-to-noise ratio such as after complete vagal blockade induced by AT.

Original languageEnglish
Title of host publication2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014
PublisherIEEE Computer Society
Pages7-8
Number of pages2
ISBN (Print)9781479939695
DOIs
Publication statusPublished - 2014
Event2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014 - Trento, Italy
Duration: May 25 2014May 28 2014

Other

Other2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014
CountryItaly
CityTrento
Period5/25/145/28/14

ASJC Scopus subject areas

  • Biomedical Engineering

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    Porta, A., Bari, V., Marchi, A., Bassani, T., Castiglioni, P., Di Rienzo, M., Cividjian, A., & Quintin, L. (2014). Comparison between permutation and coarse-grained entropy approaches for the assessment of short-term complexity of heart period variability. In 2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014 (pp. 7-8). [6847492] IEEE Computer Society. https://doi.org/10.1109/ESGCO.2014.6847492