Automated electroencephalogram identifies abnormalities in the ED

Rosanne S. Naunheim, Matthew Treaster, Joy English, Teya Casner

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Background: Advances in analysis of electrical signals have now made it possible to create a handheld electroencephalogram (EEG). Methods: The BrainScope device, currently under development by BrainScope Co, Inc, Washington, DC, was used to assess 153 patients who presented to a tertiary referral hospital with headache or altered mental status. A limited array of 8 adhesive electrodes, similar to electrocardiographic leads, was applied to the forehead of the subjects. The data were analyzed, and the result given by the algorithm was compared with the clinical diagnosis given to the patient. Results: One hundred fifty-three patients were enrolled. The patient was determined to be normal or abnormal using the algorithm in the device, and blinded clinicians determined whether this was accurate. The sensitivity of the device was 96% and the specificity was 87% for detecting abnormality. Conclusions: The automated EEG device may be a useful tool for identifying brain abnormality in the emergency department.

Original languageEnglish
Pages (from-to)845-848
Number of pages4
JournalAmerican Journal of Emergency Medicine
Volume29
Issue number8
DOIs
StatePublished - Oct 2011

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