Experimental Verification of EOG Signal Measurement Using the Modified Digital Stochastic Measurement Method

Experimental verification of the simulation model for modified digital stochastic measurement (MDSM) of biomedical signals in the time domain, is presented in this paper. This method is based on well-known digital stochastic measurement method (DSMM) with low-resolution analog-to-digital converters...

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Bibliographic Details
Published inCMBEBIH 2017 pp. 129 - 134
Main Authors Djordjević-Kozarov, J., Sovilj, P., Vujičić, V., Mitić, D., Simić, M., Radenković, D.
Format Book Chapter
LanguageEnglish
Published Singapore Springer Singapore
SeriesIFMBE Proceedings
Subjects
Biomedical signal processing
Computer based instrument
Digital stochastic measurement
Electrooculography
Simulation model
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Summary:Experimental verification of the simulation model for modified digital stochastic measurement (MDSM) of biomedical signals in the time domain, is presented in this paper. This method is based on well-known digital stochastic measurement method (DSMM) with low-resolution analog-to-digital converters (ADCs) and accumulation. An electrooculography (EOG) signal is used as an example of a real low nonstationary biomedical signal. Realized experimental model 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. The experimental results are compared with the results of simulations, and the comparison confirms the simulation. Considering obtained results, the suggested model can be used for design and realization of an instrument with sufficient accuracy, benefiting from the hardware simplicity of the method.
ISBN:9811041652
9789811041655
ISSN:1680-0737
1433-9277
DOI:10.1007/978-981-10-4166-2_20