University of Oulu

KORTELAINEN, J., VÄYRYNEN, E., HUUSKONEN, U., LAURILA, J., KOSKENKARI, J., BACKMAN, J.T., ALAHUHTA, S., SEPPÄNEN, T. and ALA-KOKKO, T., 2016. Using Hilbert-Huang Transform to assess EEG slow wave activity during anesthesia in post-cardiac arrest patients, Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the 2016, IEEE, pp. 1850-1853.

Using Hilbert-Huang transform to assess EEG slow wave activity during anesthesia in post-cardiac arrest patients

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Author: Kortelainen, Jukka1,2,3; Väyrynen, Eero1; Huuskonen, Usko2,3;
Organizations: 1Physiological Signal Analysis Team, Center for Machine Vision and Signal Analysis, University of Oulu, Finland
2Department of Clinical Neurophysiology, Medical Research Center Oulu, University of Oulu
3Oulu University Hospital, Finland
4Unit of Surgery, Anaesthesia and Intensive Care, Medical Faculty, University of Oulu, Finland
5Division of Intensive Care Medicine, Medical Research Center Oulu, University of Oulu
6Department of Clinical Pharmacology, University of Helsinki
7Helsinki University Hospital, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2016112529970
Language: English
Published: IEEE, 2016
Publish Date: 2016-12-14
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.

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Series: IEEE engineering in medicine and biology society conference proceedings
ISSN: 1557-170X
ISSN-E: 1558-4615
ISSN-L: 1557-170X
ISBN: 978-1-4577-0220-4
Issue: 2016
Pages: 1850 - 1853
DOI: 10.1109/EMBC.2016.7591080
OADOI: https://oadoi.org/10.1109/EMBC.2016.7591080
Conference: 2016 IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC)
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
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