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Authors: Dana Copot ; Amélie Chevalier ; Clara M. Ionescu and Robin De Keyser

Affiliation: Ghent University, Belgium

Keyword(s): Compartmental Fractional Derivative Models, Fractional-Order Impedance Models (FOIM), Model-based Predictive Control (MPC), Non-invasive Pain Sensor.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Instruments and Devices ; Biomedical Sensors ; Emerging Technologies ; Telecommunications ; Wireless and Mobile Technologies ; Wireless Information Networks and Systems

Abstract: This paper introduces the mechanisms of pain perception in the human body in order to start the challenging task of controlling analgesia as part of general anesthesia. This research proposes a pain sensor, which measures analgesia levels. For control purpose, a prediction model is needed in order to obtain a model-based predictive control (MPC) strategy. This paper proposes to employ a compartmental fractional-order derivative model as a prediction model for the diffusion process that occurs when a drug is taken up by the human body. Simulations are preformed to investigate the effect of the fractional order on the diffusion of Propofol in the human body.

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Paper citation in several formats:
Copot, D.; Chevalier, A.; M. Ionescu, C. and De Keyser, R. (2014). Non-invasive Pain Sensor Development for Advanced Control Strategy of Anesthesia - A Conceptual Study. In Proceedings of the International Conference on Biomedical Electronics and Devices (BIOSTEC 2014) - BIODEVICES; ISBN 978-989-758-013-0; ISSN 2184-4305, SciTePress, pages 95-101. DOI: 10.5220/0004742800950101

@conference{biodevices14,
author={Dana Copot. and Amélie Chevalier. and Clara {M. Ionescu}. and Robin {De Keyser}.},
title={Non-invasive Pain Sensor Development for Advanced Control Strategy of Anesthesia - A Conceptual Study},
booktitle={Proceedings of the International Conference on Biomedical Electronics and Devices (BIOSTEC 2014) - BIODEVICES},
year={2014},
pages={95-101},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004742800950101},
isbn={978-989-758-013-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Biomedical Electronics and Devices (BIOSTEC 2014) - BIODEVICES
TI - Non-invasive Pain Sensor Development for Advanced Control Strategy of Anesthesia - A Conceptual Study
SN - 978-989-758-013-0
IS - 2184-4305
AU - Copot, D.
AU - Chevalier, A.
AU - M. Ionescu, C.
AU - De Keyser, R.
PY - 2014
SP - 95
EP - 101
DO - 10.5220/0004742800950101
PB - SciTePress