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Authors: Jakob Juul Larsen ; Lars G. Johansen and Henrik Karstoft

Affiliation: Aarhus University, Denmark

ISBN: 978-989-8425-89-8

Keyword(s): Electrocardiogram Derived Respiration, Evolutionary Algorithms, ECG Modeling.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Cardiovascular Signals ; Computer Vision, Visualization and Computer Graphics ; Evolutionary Systems ; Medical Image Detection, Acquisition, Analysis and Processing ; Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics

Abstract: In this work we present a method to extract the respiratory signal from single lead ECG measurements, electrocardiogram derived respiration (EDR). The method is based on adaptive ECG modeling and respiratory signal estimation using an evolutionary algorithm fed with the model parameters. The evolutionary algorithm, which is allowed to employ a large constellation of functions, comes up with a set of relatively simple expressions (3-4 terms) describing valid relationships between ECG model parameters and the respiratory signal. In fact, the expressions mainly turn out to be linear combinations of the model parameters. Our preliminary experiments indicate that this method yields a robust EDR, and that this EDR correlates very well with a reference respiratory signal measurement. Correlation coefficients for the derived expressions lie around 0.95.

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Paper citation in several formats:
Juul Larsen, J.; G. Johansen, L. and Karstoft, H. (2012). ELECTROCARDIOGRAM DERIVED RESPIRATION USING AN EVOLUTIONARY ALGORITHM.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012) ISBN 978-989-8425-89-8, pages 147-152. DOI: 10.5220/0003696101470152

@conference{biosignals12,
author={Jakob Juul Larsen. and Lars G. Johansen. and Henrik Karstoft.},
title={ELECTROCARDIOGRAM DERIVED RESPIRATION USING AN EVOLUTIONARY ALGORITHM},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)},
year={2012},
pages={147-152},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003696101470152},
isbn={978-989-8425-89-8},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)
TI - ELECTROCARDIOGRAM DERIVED RESPIRATION USING AN EVOLUTIONARY ALGORITHM
SN - 978-989-8425-89-8
AU - Juul Larsen, J.
AU - G. Johansen, L.
AU - Karstoft, H.
PY - 2012
SP - 147
EP - 152
DO - 10.5220/0003696101470152

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