Parametric Modeling and Deep Learning for Enhancing Pain Assessment in Postanesthesia-Reference-Cited by-同舟云学术

Parametric Modeling and Deep Learning for Enhancing Pain Assessment in Postanesthesia

Author:

Ghita Mihaela¹^ORCID,Birs Isabela R.²^ORCID,Copot Dana²^ORCID,Muresan Cristina I.³^ORCID,Neckebroek Martine⁴,Ionescu Clara M.²^ORCID

Affiliation:

1. Research Group of Dynamical Systems and Control, Department of Electromechanical, Systems and Metal Engineering, Ghent University, Gent, Belgium

2. Research Group of Dynamical Systems and Control, Department of Electromechanical, Systems and Metal Engineering, Ghent University, Belgium

3. Department of Automation, Technical University of Cluj-Napoca, Romania

4. Department of Anesthesia, Ghent University Hospital, Belgium

Funder

FWO Fonds Wetenschappelijk Onderzoek Doctoral Fellowship

BOF Bijzonder Onderzoeksfonds UGent Postdoctoral Fellowship

FWO Senior Postdoctoral Fellowship

ERC Consolidator

European Commission

Romanian Ministry of Education and Research, CNCS-UEFISCDI

Romanian Ministry of Research, Innovation and Digitization

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

Reference46 articles.

2. Artificial intelligence for pain classification with the non-invasive pain monitor Anspec-Pro;grauwe;Acta Anaesthesiol Belg,2023

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