Title :
Digital stochastic measurement of noised biomedical signals: Simulation versus experiment
Author :
Jelena R. Djordjevi?-Kozarov;Dejan Z. Miti?;Vladimir Vuji?i?;Platon Sovilj
Author_Institution :
Faculty of Electronic Engineering at University of Ni?, Aleksandra Medvedeva 14, 18000, Serbia
Abstract :
An experimental hardware solution, which has been realized in order to verify the simulation model for digital stochastic measurement (DSM) of biomedical signals, is presented in this paper. The simulation has been realised using the Matlab program, and electrooculography (EOG) signal is used as an example of a real low nonstationary biomedical signal. Realized experimental hardware solution is based on a personal computer (PC) with additional microcontroller hardware for analogue signal processing. The experimental printed circuit board (PCB) has been designed with microcontroller (MCU) STM32F303C6T6. Tests are done with adding a noise-varying signal-to-noise ratio (SNR) from 10 to -10 dB. The experimental results are compared versus results of simulations, and the comparison confirms the simulation.
Keywords :
"Stochastic processes","Brain modeling","Electrooculography","Frequency measurement","Hardware","Signal to noise ratio"
Conference_Titel :
Telecommunication in Modern Satellite, Cable and Broadcasting Services (TELSIKS), 2015 12th International Conference on
Print_ISBN :
978-1-4673-7515-3
DOI :
10.1109/TELSKS.2015.7357802
