Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/17351
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dc.contributor.authorShieh, JS-
dc.contributor.authorMathunjwa, B-
dc.contributor.authorSadrawi, M-
dc.contributor.authorAbbod, MF-
dc.date.accessioned2019-01-15T13:18:42Z-
dc.date.available2019-01-01-
dc.date.available2019-01-15T13:18:42Z-
dc.date.issued2018-
dc.identifier.citationAdvances in Intelligent Systems and Computing, 2019, 857 pp. 1269 - 1277en_US
dc.identifier.issn2194-5357-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/17351-
dc.description.abstractThe international association for the study of pain (IASP), describes pain as an unpleasant sensory and emotional experience associated with actual or potential tissue damage. Pain is a system of defense mechanism that prompts the body to avoid the source of noxious stimulation and a potential area of tissue damage. Electrocardiogram (ECG) is the electrical activity of the heart. ECG gives transthoracic interpretation of the electrical activity of the heart over a period of time. Detailed examination of ECG signals give information concerning the condition of the heart at a given moment. The analgesia nociception index (ANI) is an index that is associated with the autonomic nervous system. It is employed to find pain levels, heart rate variability, and sympathetic system activity during general anesthesia. In this paper we aimed to test the potential of ANI to notice painful situations during surgical operation. To test this ability, we examined ANI’s response during surgical operations. The analysis reveals that the index decreases during events where more pain is induced.en_US
dc.format.extent1269 - 1277-
dc.language.isoenen_US
dc.publisherSpringer Verlagen_US
dc.subjectSurgical Operationen_US
dc.subjectpain evaluationen_US
dc.subjectAnalgesia Nociception indexen_US
dc.subjectElectrocardiogram.en_US
dc.titlePain evaluation using analgesia nociception index during surgical operationen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-030-01177-2_92-
dc.relation.isPartOfAdvances in Intelligent Systems and Computing-
pubs.publication-statusAccepted-
pubs.volume857-
Appears in Collections:Dept of Electronic and Electrical Engineering Embargoed Research Papers

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