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Towards Pain-Fingerprinting: A Ubiquitous and Interoperable Clinical Decision Support System for Pain Assessment

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CMBEBIH 2019 (CMBEBIH 2019)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 73))

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Abstract

The subjectivity and the multidimensionality of pain raises several challenges in terms of its description, assessment and treatment. This study presents a Clinical Decision Support System for the pain condition based on the fusion of its different dimensions in order to produce an accurate and reliable assessment. The proposed system includes not only the value of the pain intensity but also several scores (e.g. regarding anxiety, or depression) obtained from the analysis of patients’ behaviour related with the posted messages on social networks, such as Facebook, or Twitter. This study aims to introduce the paradigm for the pain assessment based on patients’ behavioural scores to the detriment of it self-reporting of pain.

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Acknowledgements

This work was supported by FCT project UID/EEA/50008/2013 (Este trabalho foi suportado pelo projecto FCT UID/EEA/50008/2013).

This article is based upon work from COST Action IC1303—AAPELE—Architectures, Algorithms and Protocols for Enhanced Living Environments and COST Action CA16226—SHELD-ON—Indoor living space improvement: Smart Habitat for the Elderly, supported by COST (European Cooperation in Science and Technology). More information in www.cost.eu.

Conflict of Interest Statement

No conflicts of interest.

Author information

Authors and Affiliations

  1. Instituto de Telecomunicações, Universidade da Beira Interior, Covilhã, Portugal

    Nuno Pombo & Nuno M. Garcia

  2. Universidade Lusófona de Humanidades e Tecnologias, Lisbon, Portugal

    Nuno M. Garcia

Authors
  1. Nuno Pombo
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  2. Nuno M. Garcia
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Corresponding author

Correspondence to Nuno Pombo .

Editor information

Editors and Affiliations

  1. International Burch University, Sarajevo, Bosnia and Herzegovina

    Almir Badnjevic

  2. Faculty of Medicine, University of Banja Luka, Banja Luka, Bosnia and Herzegovina

    Ranko Škrbić

  3. International Burch University, Sarajevo, Bosnia and Herzegovina

    Lejla Gurbeta Pokvić

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Pombo, N., Garcia, N.M. (2020). Towards Pain-Fingerprinting: A Ubiquitous and Interoperable Clinical Decision Support System for Pain Assessment. In: Badnjevic, A., Škrbić, R., Gurbeta Pokvić, L. (eds) CMBEBIH 2019. CMBEBIH 2019. IFMBE Proceedings, vol 73. Springer, Cham. https://doi.org/10.1007/978-3-030-17971-7_68

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  • DOI: https://doi.org/10.1007/978-3-030-17971-7_68

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-17970-0

  • Online ISBN: 978-3-030-17971-7

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