Using Hilbert-Huang Transform to Assess EEG Slow Wave Activity During Anesthesia in Post-Cardiac Arrest Patients

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dc.contributor University of Helsinki, Medicum en
dc.contributor.author Kortelainen, Jukka
dc.contributor.author Vayrynen, Eero
dc.contributor.author Huuskonen, Usko
dc.contributor.author Laurila, Jouko
dc.contributor.author Koskenkari, Juha
dc.contributor.author Backman, Janne T.
dc.contributor.author Alahuhta, Seppo
dc.contributor.author Seppanen, Tapio
dc.contributor.author Ala-Kokko, Tero
dc.contributor.editor Patton, J
dc.contributor.editor Barbieri, R
dc.contributor.editor Ji, J
dc.contributor.editor Jabbari, E
dc.contributor.editor Dokos, S
dc.contributor.editor Mukkamala, R
dc.contributor.editor Guiraud, D
dc.contributor.editor Jovanov, E
dc.contributor.editor Dhaher, Y
dc.contributor.editor Panescu, D
dc.contributor.editor Vangils, M
dc.contributor.editor Wheeler, B
dc.contributor.editor Dhawan, AP
dc.date.accessioned 2017-06-08T06:42:02Z
dc.date.available 2017-06-08T06:42:02Z
dc.date.issued 2016
dc.identifier.citation Kortelainen , J , Vayrynen , E , Huuskonen , U , Laurila , J , Koskenkari , J , Backman , J T , Alahuhta , S , Seppanen , T & Ala-Kokko , T 2016 , Using Hilbert-Huang Transform to Assess EEG Slow Wave Activity During Anesthesia in Post-Cardiac Arrest Patients . in J Patton , R Barbieri , J Ji , E Jabbari , S Dokos , R Mukkamala , D Guiraud , E Jovanov , Y Dhaher , D Panescu , M Vangils , B Wheeler & AP Dhawan (eds) , IEEE Engineering in Medicine and Biology Society Conference Proceedings : 2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) . vol. 38 , IEEE Engineering in Medicine and Biology Society Conference Proceedings , IEEE , pp. 1850-1853 , Annual International Conference of the IEEE Engineering in Medicine and Biology Society , Lake Buena Vista , United States , 16/08/2016 . en
dc.identifier.citation conference en
dc.identifier.other PURE: 85301747
dc.identifier.other PURE UUID: ed1d8914-1874-4828-b722-060fdfde36e3
dc.identifier.other WOS: 000399823502056
dc.identifier.other Scopus: 85009142157
dc.identifier.other ORCID: /0000-0002-9577-2788/work/33744716
dc.identifier.uri http://hdl.handle.net/10138/189270
dc.description.abstract Hypoxic ischemic encephalopathy (HIE) is a severe consequence of cardiac arrest (CA) representing a substantial diagnostic challenge. We have recently designed a novel method for the assessment of HIE after CA. The method is based on estimating the severity of the brain injury by analyzing changes in the electroencephalogram (EEG) slow wave activity while the patient is exposed to an anesthetic drug propofol in a controlled manner. In this paper, Hilbert-Huang Transform (HHT) was used to analyze EEG slow wave activity during anesthesia in ten post-CA patients. The recordings were made in the intensive care unit 36-48 hours after the CA in an experiment, during which the propofol infusion rate was incrementally decreased to determine the drug-induced changes in the EEG at different anesthetic levels. HHT was shown to successfully capture the changes in the slow wave activity to the behavior of intrinsic mode functions (IMFs). While, in patients with good neurological outcome defined after a six-month control period, propofol induced a significant increase in the amplitude of IMFs representing the slow wave activity, the patients with poor neurological outcome were unable to produce such a response. Consequently, the proposed method offer substantial prognostic potential by providing a novel approach for early estimation of HIE after CA. en
dc.format.extent 4
dc.language.iso eng
dc.publisher IEEE
dc.relation.ispartof IEEE Engineering in Medicine and Biology Society Conference Proceedings 2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
dc.relation.ispartofseries IEEE Engineering in Medicine and Biology Society Conference Proceedings
dc.rights en
dc.subject AMERICAN-HEART-ASSOCIATION en
dc.subject RESUSCITATION en
dc.subject UPDATE en
dc.subject CARE en
dc.subject 3111 Biomedicine en
dc.subject 3121 General medicine, internal medicine and other clinical medicine en
dc.title Using Hilbert-Huang Transform to Assess EEG Slow Wave Activity During Anesthesia in Post-Cardiac Arrest Patients en
dc.type Conference contribution
dc.type.uri info:eu-repo/semantics/other
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