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Authors: Maristella Lucchini 1 ; Devy Widjaja 2 ; Carolina Varon 2 ; Katrien Jansen 3 and Sabine Van Huffel 2

Affiliations: 1 KU Leuven, Belgium ; 2 KU Leuven and iMinds, Belgium ; 3 University Hospitals Leuven, Belgium

ISBN: 978-989-8565-36-5

Keyword(s): Phase-Rectified Signal Averaging, Heart Rate Variability, Autonomic Nervous System, Quasi-Periodicities, Non-Stationary Signals.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Cardiovascular Signals ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing

Abstract: Aim: Heart Rate Variability (HRV) is determined by the autonomic nervous system (ANS) and a low value of this parameter is related to neurological pathologies and infants mortality. This study aims to assess the utility and the advantages of HRV analysis by means of phase-rectified signal averaging (PRSA), a technique that obtains curves that are useful to determine the development of the ANS in preterm infants, with less obtrusive monitoring compared to electroencephalography. Methods: For a preliminary study, 24-hour ECGs were taken in NICU at the University Hospital in Leuven, from 12 babies: 4 were term, 4 were born preterm but reached a term postmenstrual age, and 4 were preterm. Heart rate tracks of segments of 27 minutes were extracted and analyzed with the PRSA technique. The curves obtained were quantified by the slope and by an acceleration/deceleration related parameter (AC/DC). Two independent analyses on acceleration and deceleration were carried out to visualize the ef fects of the sympathetic and parasympathetic system separately. Moreover, the immediate response and the response after 5 seconds were taken into account. Results and Conclusion: All the results were compared and validated with traditional HRV parameters. The results of slope and AD/DC in both types of analysis are promising in providing a simple parameter to assess neurological development deficiency in order to allow faster and preventive intervention. Further studies are needed in a larger population. (More)

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Paper citation in several formats:
Lucchini, M.; Widjaja, D.; Varon, C.; Jansen, K. and Van Huffel, S. (2013). Phase-Rectified Signal Averaging to Evaluate ANS Development in Premature Infants.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013) ISBN 978-989-8565-36-5, pages 203-208. DOI: 10.5220/0004240702030208

@conference{biosignals13,
author={Maristella Lucchini. and Devy Widjaja. and Carolina Varon. and Katrien Jansen. and Sabine Van Huffel.},
title={Phase-Rectified Signal Averaging to Evaluate ANS Development in Premature Infants},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)},
year={2013},
pages={203-208},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004240702030208},
isbn={978-989-8565-36-5},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)
TI - Phase-Rectified Signal Averaging to Evaluate ANS Development in Premature Infants
SN - 978-989-8565-36-5
AU - Lucchini, M.
AU - Widjaja, D.
AU - Varon, C.
AU - Jansen, K.
AU - Van Huffel, S.
PY - 2013
SP - 203
EP - 208
DO - 10.5220/0004240702030208

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