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Published on: May 31, 2018
A comparative study of electrical potential sensors and Ag/AgCl electrodes for characterising spontaneous and event
M Fatoorechi1, J Parkinson2, R J Prance1
1Department of Engineering and Design, University of Sussex, Brighton BN1 9QJ, UK.
Background:
Electroencephalography (EEG) is still a widely used imaging tool that combines high temporal resolution with a relatively low cost. Ag/AgCl metal electrodes have been the gold standard for non-invasively monitoring electrical brain activity. Although reliable, these electrodes have multiple drawbacks: they suffer from noise, such as offset potential drift, and usability issues, for example, difficult skin preparation and cross-coupling of adjacent electrodes.
New Method:
In order to tackle these issues a prototype Electric Potential Sensor (EPS) device based on an auto-zero operational amplifier was developed and evaluated. The EPS is a novel active ultrahigh impedance capacitively coupled sensor. The absence of 1/f noise makes the EPS ideal for use with signal frequencies of ∼10Hz or less. A comprehensive study was undertaken to compare neural signals recorded by the EPS with a standard commercial EEG system.
Results:
Quantitatively, highly similar signals were observed between the EPS and EEG sensors for both free running and evoked brain activity with cross correlations of higher than 0.9 between the EPS and a standard benchmark EEG system.
Comparison With Existing Method(S):
These studies comprised measurements of both free running EEG and Event Related Potentials (ERPs) from a commercial EEG system and EPS.
Conclusions:
The EPS provides a promising alternative with many added benefits compared to standard EEG sensors, including reduced setup time and elimination of sensor cross-coupling. In the future the scalability of the EPS will allow the implementation of a whole head ultra-dense EPS array.

