Metrological verification of FPGA based device for measuring EEG signal

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 struct...

Full description

Saved in:
Bibliographic Details
Main Authors: Sovilj, P, Vujičić, V, Pjevalica, N
Format: Conference Proceeding
Language:English
Subjects:
Converters
digital measurements
Electroencephalography
Harmonic analysis
Measurement uncertainty
Noise
Noise measurement
nucertainty
Power harmonic filters
stochastic processes
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
DOI:10.1109/NEUREL.2010.5644106