Lagged Transfer Entropy Analysis to Investigate Cardiorespiratory Regulation in Newborns during Sleep

Nicolò Pini, Maristella Lucchini, William Fifer, Nina Burtchen, Maria Signorini

Abstract

The autonomic nervous system (ANS) acts modulating the cardiac and respiratory systems by means of the sympathetic and parasympathetic branches. In this work, we propose to employ Transfer Entropy (TE) with the aim of disambiguating the contributions of the two branches over cardiorespiratory regulation in newborns during sleep. Specifically, we computed TE on the original time series representative of the two subsystems, namely Heart Rate Variability (HRV) and Respiration (RESP). Furthermore, we employed a lagged version of the two original signals to derive a TE estimation capable of providing and insight on the short-term memory between the two systems. Results show the information transfer quantified by TERESP→RR decaying rapidly as the shift between the two time series increases. On the other hand, TERR→RESP exhibits a slower but prolonged interaction, which lasts over numerous lags. The novel approach presented in this work affords the potential to assess infants’ ANS development in terms of the quantification of cardiorespiratory control functioning.

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Paper Citation


in Harvard Style

Pini N., Lucchini M., Fifer W., Burtchen N. and Signorini M. (2019). Lagged Transfer Entropy Analysis to Investigate Cardiorespiratory Regulation in Newborns during Sleep.In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, ISBN 978-989-758-353-7, pages 139-146. DOI: 10.5220/0007363301390146


in Bibtex Style

@conference{biosignals19,
author={Nicolò Pini and Maristella Lucchini and William Fifer and Nina Burtchen and Maria Signorini},
title={Lagged Transfer Entropy Analysis to Investigate Cardiorespiratory Regulation in Newborns during Sleep},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS,},
year={2019},
pages={139-146},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007363301390146},
isbn={978-989-758-353-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS,
TI - Lagged Transfer Entropy Analysis to Investigate Cardiorespiratory Regulation in Newborns during Sleep
SN - 978-989-758-353-7
AU - Pini N.
AU - Lucchini M.
AU - Fifer W.
AU - Burtchen N.
AU - Signorini M.
PY - 2019
SP - 139
EP - 146
DO - 10.5220/0007363301390146