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Article

Novel Early EEG Measures Predicting Brain Recovery after Cardiac Arrest

1
Nuclear ICT Research Division, Korea Atomic Energy Research Institute, Daejeon 34057, Korea
2
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
3
Department of Electronic Engineering, Soongsil University, Seoul 06978, Korea
*
Author to whom correspondence should be addressed.
Entropy 2017, 19(9), 466; https://doi.org/10.3390/e19090466
Received: 11 July 2017 / Revised: 28 August 2017 / Accepted: 30 August 2017 / Published: 2 September 2017
(This article belongs to the Special Issue Entropy and Cardiac Physics II)
In this paper, we propose novel quantitative electroencephalogram (qEEG) measures by exploiting three critical and distinct phases (isoelectric, fast progression, and slow progression) of qEEG time evolution. Critical time points where the phase transition occurs are calculated. Most conventional measures have two major disadvantages. Firstly, to obtain meaningful time-evolution over raw electroencephalogram (EEG), these measures require baseline EEG activities before the subject’s injury. Secondly, conventional qEEG measures need at least 2∼3 h recording of EEG signals to predict meaningful long-term neurological outcomes. Unlike the conventional qEEG measures, the two measures do not require the baseline EEG information before injury and furthermore can be calculated only with the EEG data of 20∼30 min after cardiopulmonary resuscitation (CPR). View Full-Text
Keywords: quantitative EEG; ischemic brain injury; cardiac arrest; entropy quantitative EEG; ischemic brain injury; cardiac arrest; entropy
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MDPI and ACS Style

Cha, K.-M.; Thakor, N.V.; Shin, H.-C. Novel Early EEG Measures Predicting Brain Recovery after Cardiac Arrest. Entropy 2017, 19, 466. https://doi.org/10.3390/e19090466

AMA Style

Cha K-M, Thakor NV, Shin H-C. Novel Early EEG Measures Predicting Brain Recovery after Cardiac Arrest. Entropy. 2017; 19(9):466. https://doi.org/10.3390/e19090466

Chicago/Turabian Style

Cha, Kab-Mun, Nitish V. Thakor, and Hyun-Chool Shin. 2017. "Novel Early EEG Measures Predicting Brain Recovery after Cardiac Arrest" Entropy 19, no. 9: 466. https://doi.org/10.3390/e19090466

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