New directions in EEG measurement: an investigation into the fidelity of electrical potential sensor signals

Fatoorechi, M, Schwartzman, D, Prance, H, Parkinson, J, Seth, A K and Prance, R J (2015) New directions in EEG measurement: an investigation into the fidelity of electrical potential sensor signals. Sensors & Transducers, 184 (1). pp. 101-107. ISSN 2306-8515

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Abstract

Low frequency noise performance is the key indicator in determining the signal to noise ratio of a capacitively coupled sensor when used to acquire electroencephalogram signals. For this reason, a prototype Electric Potential Sensor device based on an auto-zero operational amplifier has been developed and evaluated. The absence of 1/f noise in these devices makes them ideal for use with signal frequencies ~10 Hz or less. The active electrodes are designed to be physically and electrically robust and chemically and biochemically inert. They are electrically insulated (anodized) and have diameters of 12 mm or 18 mm. In both cases, the sensors are housed in inert stainless steel machined housings with the electronics fabricated in surface mount components on a printed circuit board compatible with epoxy potting compounds. Potted sensors are designed to be immersed in alcohol for sterilization purposes. A comparative study was conducted with a commercial wet gel electrode system. These studies comprised measurements of both free running electroencephalogram and Event Related Potentials. Quality of the recorded electroencephalogram was assessed using three methods of inspection of raw signal, comparing signal to noise ratios, and Event Related Potentials noise analysis. A strictly comparable signal to noise ratio was observed and the overall conclusion from these comparative studies is that the noise performance of the new sensor is appropriate.

Item Type: Article
Keywords: Sensors, EEG, Biosensors, Assistive technology, Electrical Potential Sensor
Schools and Departments: School of Engineering and Informatics > Engineering and Design
School of Engineering and Informatics > Informatics
School of Psychology > Psychology
Subjects: B Philosophy. Psychology. Religion > BF Psychology > BF0176 Psychological tests and testing
B Philosophy. Psychology. Religion > BF Psychology > BF0309 Consciousness. Cognition Including learning, attention, comprehension, memory, imagination, genius, intelligence, thought and thinking, psycholinguistics, mental fatigue
T Technology
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics
Related URLs:
Depositing User: Mohsen Fatoorechi
Date Deposited: 03 Jun 2015 15:14
Last Modified: 15 Mar 2017 03:09
URI: http://sro.sussex.ac.uk/id/eprint/53828

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