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dc.contributor.authorKoeny , Marcus
dc.contributor.authorBlanik , Nikolai
dc.contributor.authorYu , Xinchi
dc.contributor.authorCzaplik , Michael
dc.contributor.authorWalter , Marian
dc.contributor.authorRossaint , Rolf
dc.contributor.authorBlazek , Vladimir
dc.contributor.authorLeonhardt , Steffen
dc.date.accessioned2017-02-09T09:30:34Z
dc.date.available2017-02-09T09:30:34Z
dc.date.issued2014
dc.identifier.citationActa Polytechnica. 2014, vol. 54, no. 4, p. 275-280.
dc.identifier.issn1210-2709 (print)
dc.identifier.issn1805-2363 (online)
dc.identifier.urihttp://hdl.handle.net/10467/67149
dc.description.abstractThis work presents an extension to the known Analgesia Nociception Index (ANI), which provides an objective estimation of the current depth of analgesia. An adequate “measure” would facilitate so-called balanced anesthesia. Generally, ANI is computed using heart rate variability or rather beat-to-beat intervals based on an electrocardiogram (ECG). There are clinical situations where no ECG monitoring is available or required, but only photoplethysmography (PPG), e.g., in some cases in postoperative care or pain therapy. In addition, a combination of PPG and ECG for obtaining beat-to-beat intervals may lead to increased robustness and reliability for dealing with artifacts. This work therefore investigates the computation of ANI using standard PPG. In addition, new methods and opportunities are presented using contactless PPG imaging (PPGI). PPGI®enables contactless PPG recordings for deriving beat-to-beat intervals as well as analysis of local perfusion and wounds.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherČeské vysoké učení technické v Prazecs
dc.publisherCzech Technical University in Pragueen
dc.relation.ispartofseriesActa Polytechnica
dc.relation.urihttps://ojs.cvut.cz/ojs/index.php/ap/article/view/2216
dc.rightsCreative Commons Attribution 4.0 International Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleUSING PHOTOPLETHYSMOGRAPHY IMAGING FOR OBJECTIVE CONTACTLESS PAIN ASSESSMENT
dc.typearticleen
dc.date.updated2017-02-09T09:30:34Z
dc.identifier.doi10.14311/AP.2014.54.0275
dc.rights.accessopenAccess
dc.type.statusPeer-reviewed
dc.type.versionpublishedVersion


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Zobrazit minimální záznam

Creative Commons Attribution 4.0 International License
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