Simultaneous EIT and EEG using frequency division multiplexing
File(s)Avery_2019_Physiol._Meas._40_034007.pdf (2.36 MB)
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Author(s)
Type
Journal Article
Abstract
OBJECTIVE: Methods have previously been reported for simultaneous EIT and EEG recording, but these have relied on post-hoc signal processing to remove switching artefacts from the EEG signal and require dedicated hardware filters and the use of separate EEG and EIT electrodes. This work aims to demonstrate that an uncorrupted EEG signal can be collected simultaneously with EIT data by using frequency division multiplexing (FDM), and to show that the EIT data provides useful information when compared to EEG source localisation.
Approach: A custom FDM EIT current source was created and evaluated in resistor phantom and neonatal head tank experiments, where a static and dynamic perturbation was imaged. EEG and EIT source localisation were compared when an EEG dipole was placed in the tank. EEG and EIT data were collected simultaneously in a human volunteer, using both a standard EEG and a Visual Evoked Potential (VEP) paradigms.
Main Results: Differences in EEG and VEP collected with and without simultaneous EIT stimulation showed no significant differences in amplitude, latency or PSD (p-values \textgreater{} 0.3 in all cases). Compared with EEG source localisation, EIT reconstructions were more accurately able to reconstruct both the centre of mass and volume of a perturbation.
Significance: The reported method is suitable for collecting EIT in a clinical setting, without disrupting the clinical EEG or requiring additional measurement electrodes, which lowers the barrier to entry for data collection. EIT collection can be integrated with existing clinical workflows in EEG/ECoG, with minimal disruption to the patient or clinical team.
Date Issued
2019-03-29
Date Acceptance
2019-03-01
Citation
Physiological Measurement, 2019, 40 (3)
ISSN
0967-3334
Publisher
IOP Publishing
Journal / Book Title
Physiological Measurement
Volume
40
Issue
3
Copyright Statement
© 2019 Institute of Physics and Engineering in Medicine. Original content from
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under the terms of the
Creative Commons
Attribution 3.0 licence (https://creativecommons.org/licenses/by/3.0/).
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title of the work, journal
citation and DOI.
this work may be used
under the terms of the
Creative Commons
Attribution 3.0 licence (https://creativecommons.org/licenses/by/3.0/).
Any further distribution
of this work must
maintain attribution
to the author(s) and the
title of the work, journal
citation and DOI.
Sponsor
Imperial College Healthcare NHS Trust- BRC Funding
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/30822768
Grant Number
RDB04
Subjects
Brain imaging
Electrical Impedance Tomography
Electroencephalogram
Epilepsy
Frequency Division Multiplexing
Publication Status
Published
Coverage Spatial
England
Article Number
034007
Date Publish Online
2019-03-01