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The study of the domestic digital amplitude integrated EEG performance / 生物医学工程学杂志
Journal of Biomedical Engineering ; (6): 59-64, 2012.
Article in Chinese | WPRIM | ID: wpr-274903
ABSTRACT
A total of 20 normal newborns and 8 brain injured newborns were monitored for 2 hours with domestic digital amplitude integrated cerebral function monitor (CFM 3000) and similar imported products LECTROMED CFM 5330 simultaneously. 32 newborns with seizures or suspected seizures were monitored with CFM 3000 and conventional electroencephalogram (EEG) simultaneously. The tracings of amplitude integrated electroencephalogram (aEEG) monitored by CFM 3000 and LECTROMED CFM 5330 are similar to each other. The continuous electrical activity, sleep-wake cycle, the mean of lower or upper bound voltage and duration of broad and narrow band were no significant statistical difference between different machines; The pattern of aEEG tracing of 8 infants with brain injury monitored by CFM 3000 was the same as monitored by the LECTROMED CFM 5330. The detection rate of seizure with CFM 3000 and conventional EEG were no statistically significant difference, and the consistency with Kappa test was Kappa = 0.552, P = 0.001. The CFM 3000 can reflect the change of cerebral function and identify infants with brain injury reliably.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Reference Standards / Seizures / Signal Processing, Computer-Assisted / Brain Injuries / Diagnosis / Electroencephalography / Methods / Monitoring, Physiologic Type of study: Diagnostic study Limits: Female / Humans / Male / Infant, Newborn Language: Chinese Journal: Journal of Biomedical Engineering Year: 2012 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Reference Standards / Seizures / Signal Processing, Computer-Assisted / Brain Injuries / Diagnosis / Electroencephalography / Methods / Monitoring, Physiologic Type of study: Diagnostic study Limits: Female / Humans / Male / Infant, Newborn Language: Chinese Journal: Journal of Biomedical Engineering Year: 2012 Type: Article