Titgemeyer, Yannic, Surges, Rainer, Altenmueller, Dirk-Matthias, Fauser, Susanne, Kunze, Albrecht, Lanz, Michael, Malter, Michael P., Nass, Robert Daniel ORCID: 0000-0003-4446-8898, von Podewils, Felix, Remi, Jan, von Spiczak, Sarah, Strzelczyk, Adam, Munoz Ramos, Roann, Kutafina, Ekaterina ORCID: 0000-0002-3430-5123 and Jonas, Stephan Michael (2020). Can commercially available wearable EEG devices be used for diagnostic purposes? An explorative pilot study. Epilepsy Behav., 103. SAN DIEGO: ACADEMIC PRESS INC ELSEVIER SCIENCE. ISSN 1525-5069

Full text not available from this repository.

Abstract

Electroencephalography (EEG) is a core element in the diagnosis of epilepsy syndromes and can help to monitor antiseizure treatment. Mobile EEG (mEEG) devices are increasingly available on the consumer market and may offer easier access to EEG recordings especially in rural or resource-poor areas. The usefulness of consumer-grade devices for clinical purposes is still underinvestigated. Here, we compared EEG traces of a commercially available mEEG device (Emotiv EPOC) to a simultaneously recorded clinical video EEG (vEEG). Twenty-two adult patients (11 female, mean age 40.2 years) undergoing noninvasive vEEG monitoring for clinical purposes were prospectively enrolled. The EEG recordings were evaluated by 10 independent raters with unmodifiable view settings. The individual evaluations were compared with respect to the presence of abnormal EEG findings (regional slowing, epileptiform potentials, seizure pattern). Video EEG yielded a sensitivity of 56% and specificity of 88% for abnormal EEG findings, whereas mEEG reached 39% and 85%, respectively. Interrater reliability coefficients were better in vEEG as compared to mEEG (x = 050 vs. 0.30), corresponding to a moderate and fair agreement. Intrarater reliability between mEEG and vEEG evaluations of simultaneous recordings of a given participant was moderate (x = 0.48). Given the limitations of our exploratory pilot study, our results suggest that vEEG is superior to mEEG, but that mEEG can be helpful for diagnostic purposes. We present the first quantitative comparison of simultaneously acquired clinical and mobile consumer-grade EEG for a clinical use-case. (C) 2019 Elsevier Inc. All rights reserved.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Titgemeyer, YannicUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Surges, RainerUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Altenmueller, Dirk-MatthiasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Fauser, SusanneUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kunze, AlbrechtUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Lanz, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Malter, Michael P.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Nass, Robert DanielUNSPECIFIEDorcid.org/0000-0003-4446-8898UNSPECIFIED
von Podewils, FelixUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Remi, JanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
von Spiczak, SarahUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Strzelczyk, AdamUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Munoz Ramos, RoannUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kutafina, EkaterinaUNSPECIFIEDorcid.org/0000-0002-3430-5123UNSPECIFIED
Jonas, Stephan MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-347225
DOI: 10.1016/j.yebeh.2019.106507
Journal or Publication Title: Epilepsy Behav.
Volume: 103
Date: 2020
Publisher: ACADEMIC PRESS INC ELSEVIER SCIENCE
Place of Publication: SAN DIEGO
ISSN: 1525-5069
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
WIRELESS EEG; INTERRATER RELIABILITY; EPILEPSYMultiple languages
Behavioral Sciences; Clinical Neurology; PsychiatryMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/34722

Downloads

Downloads per month over past year

Altmetric

Export

Actions (login required)

View Item View Item