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      Multimodale Erkennung von Schmerzintensität und -modalität mit maschinellen Lernverfahren Translated title: Multimodal recognition of pain intensity and pain modality with machine learning

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          Abstract

          <p class="first" id="d2637693e119">The objective recording of subjectively experienced pain is a problem that has not been sufficiently solved to date. In recent years, data sets have been created to train artificial intelligence algorithms to recognize patterns of pain intensity. The multimodal recognition of pain with machine learning could provide a way to reduce an over- or undersupply of analgesics, explicitly in patients with limited communication skills. </p>

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          Most cited references10

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          Painful data: The UNBC-McMaster shoulder pain expression archive database

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            The biovid heat pain database data for the advancement and systematic validation of an automated pain recognition system

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              “The senseemotion database: a multimodal database for the development and systematic validation of an automatic pain-and emotion-recognition system,”

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                Author and article information

                Journal
                Der Schmerz
                Schmerz
                Springer Science and Business Media LLC
                0932-433X
                1432-2129
                October 2020
                April 14 2020
                October 2020
                : 34
                : 5
                : 400-409
                Article
                10.1007/s00482-020-00468-8
                32291588
                9c4179ed-035b-456d-a35d-caf9df1b2860
                © 2020

                http://www.springer.com/tdm

                http://www.springer.com/tdm

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