Metrological verification of FPGA based device for measuring EEG signal

Abstract

The paper presents a field-programmable gate array (FPGA) based model for measurement of electroencephalography (EEG) signal. The novelty of this system is implementation of digital stochastic block based on stochastic analog-to-digital (A/D) conversion and accumulation, with a novel hardware structure tailored for harmonic measurements. Metrologically verified stochastic measurement EEG system measured DC component of the signal and 15 harmonics with the base measurement interval of 20ms, and results showed consistency with the developed theory.