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Authors: Maria Ghita 1 ; Mihaela Ghita 1 ; Clara Ionescu 2 and Dana Copot 1

Affiliations: 1 Ghent University, Research Group of Dynamical Systems and Control, Technologiepark 914, Ghent 9052, Belgium, Core Lab EEDT, Flanders Make and Belgium ; 2 Ghent University, Research Group of Dynamical Systems and Control, Technologiepark 914, Ghent 9052, Belgium, Core Lab EEDT, Flanders Make, Belgium, Technical University of Cluj Napoca, Department of Automatic Control, Memorandumului Street no 28, Cluj and Romania

Keyword(s): Non-Invasive Pain Measurement, Medical Devices, Residual Pain, Memory Effect, Nociceptor Stimulation, Mechanical Pain, Measurement Protocol, Skin Impedance, Bioimpedance.

Related Ontology Subjects/Areas/Topics: Biosignal Acquisition, Analysis and Processing ; Human-Computer Interaction ; Methodologies and Methods ; Physiological Computing Systems

Abstract: In the absence of any standardized objective aid for measuring pain levels in human body, a manifold of subjective tools have been developed to monitor chronic pain patients and intra-/post-operative analgesic drug management. However, due to the subjective nature of the evaluation methods and tools, pain remains a challenging phenomenon to be characterised for objective assessment and monitoring. In this paper we briefly describe a protocol and methodology for non-invasive evaluation of pain as result of nociceptor stimulation via skin impedance measurements. Both time-frequency domain analysis is performed, providing interesting observations.

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Paper citation in several formats:
Ghita, M.; Ghita, M.; Ionescu, C. and Copot, D. (2018). Integrated Protocol for Objective Pain Assessment. In Proceedings of the 5th International Conference on Physiological Computing Systems - PhyCS, ISBN 978-989-758-329-2; ISSN 2184-321X, pages 87-92. DOI: 10.5220/0006895300870092

@conference{phycs18,
author={Maria Ghita. and Mihaela Ghita. and Clara Ionescu. and Dana Copot.},
title={Integrated Protocol for Objective Pain Assessment},
booktitle={Proceedings of the 5th International Conference on Physiological Computing Systems - PhyCS,},
year={2018},
pages={87-92},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006895300870092},
isbn={978-989-758-329-2},
issn={2184-321X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Physiological Computing Systems - PhyCS,
TI - Integrated Protocol for Objective Pain Assessment
SN - 978-989-758-329-2
IS - 2184-321X
AU - Ghita, M.
AU - Ghita, M.
AU - Ionescu, C.
AU - Copot, D.
PY - 2018
SP - 87
EP - 92
DO - 10.5220/0006895300870092

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