Literature DB >> 20825903

Automated electroencephalogram identifies abnormalities in the ED.

Rosanne S Naunheim1, Matthew Treaster, Joy English, Teya Casner.   

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.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20825903     DOI: 10.1016/j.ajem.2010.03.010

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  2 in total

Review 1.  Traumatic brain injury detection using electrophysiological methods.

Authors:  Paul E Rapp; David O Keyser; Alfonso Albano; Rene Hernandez; Douglas B Gibson; Robert A Zambon; W David Hairston; John D Hughes; Andrew Krystal; Andrew S Nichols
Journal:  Front Hum Neurosci       Date:  2015-02-04       Impact factor: 3.169

2.  Novel wireless electroencephalography system with a minimal preparation time for use in emergencies and prehospital care.

Authors:  Andrei Jakab; Antti Kulkas; Timo Salpavaara; Pasi Kauppinen; Jarmo Verho; Hannu Heikkilä; Ville Jäntti
Journal:  Biomed Eng Online       Date:  2014-05-08       Impact factor: 2.819

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.