Comparison of mobile and clinical EEG sensors through resting state simultaneous data collection

Development of mobile sensors brings new opportunities to medical research. In particular, mobile electroencephalography (EEG) devices can be potentially used in low cost screening for epilepsy and other neurological and psychiatric disorders. The necessary condition for such applications is thought...

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Bibliographic Details
Published inPeerJ (San Francisco, CA) Vol. 8; p. e8969
Main Authors Kutafina, Ekaterina, Brenner, Alexander, Titgemeyer, Yannic, Surges, Rainer, Jonas, Stephan
Format Journal Article
LanguageEnglish
Published United States PeerJ. Ltd 01.05.2020
PeerJ, Inc
PeerJ Inc
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Summary:Development of mobile sensors brings new opportunities to medical research. In particular, mobile electroencephalography (EEG) devices can be potentially used in low cost screening for epilepsy and other neurological and psychiatric disorders. The necessary condition for such applications is thoughtful validation in the specific medical context. As part of validation and quality assurance, we developed a computer-based analysis pipeline, which aims to compare the EEG signal acquired by a mobile EEG device to the one collected by a medically approved clinical-grade EEG device. Both signals are recorded simultaneously during 30 min long sessions in resting state. The data are collected from 22 patients with epileptiform abnormalities in EEG. In order to compare two multichannel EEG signals with differently placed references and electrodes, a novel data processing pipeline is proposed. It allows deriving matching pairs of time series which are suitable for similarity assessment through Pearson correlation. The average correlation of 0.64 is achieved on a test dataset, which can be considered a promising result, taking the positions shift due to the simultaneous electrode placement into account.
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ISSN:2167-8359
2167-8359
DOI:10.7717/peerj.8969