4.5 Article

Simultaneous EIT and EEG using frequency division multiplexing

Journal

PHYSIOLOGICAL MEASUREMENT
Volume 40, Issue 3, Pages -

Publisher

IOP PUBLISHING LTD
DOI: 10.1088/1361-6579/ab0bbc

Keywords

electrical impedance tomography; frequency division multiplexing; electroencephalogram; brain imaging; epilepsy

Funding

  1. National Institute for Health Research (NIHR) Imperial Biomedical Research Centre (BRC)
  2. EPSRC [EP/M506448/1]
  3. DARPA [N66001-16-2-4066]
  4. Wellcome Trust

Ask authors/readers for more resources

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 >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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available