Since Electroencephalogram (EEG) signals have very small magnitude, it's very hard
to capture these signals without having noise (produced by surrounding artifacts) affect the
real EEG signals, so it is necessary to use Filters to remove noise.
Th
is work proposes a design of an electronic circuit using a microcontroller, an
instrumentation amplifier and an operational amplifier able to capture EEG signals, convert
the captured signals from analog state to digital one and send the converted signal (digital
signal) to a group of three digital filters.
This paper gives a design of three digital elliptic filters ready to be used in real time
filtering of EEG signals (which preliminary represents the condition of the brain) making
the software part which complements the hardware part in the EEG signals capturing
system.
Finally we are going to show the way of using the designed electronic circuit with
the three designed digital filters, demonstrate and discuss the results of this work.
We have used Eagle 6.6 software to design and draw the circuit, CodeVision AVR
3.12 software to write the program downloaded on the microcontroller, Mathworks
MATLAB 2014a software to design the three digital filters and Mathworks MATLAB
2014a Simulink tool to make the appropriate experiments and get the results.
The aim of this research consists of the study the possibility of using the
geophysical methods to estimate the shallow geological structures and to show
the detailed lithological changes.
The geoelectric and georadar methods have been implemented
in an area at
Torgau city in Germany.
These methods have been applied on polluted aquiferes. Also geotechnical
study has been implemented in this area to compare the geophysical results.
The results show high resolution in both methods to estimate the
underground geological structures. By the integrated both methods, the
horizontal and vertical changes of these structures have been estimated with
high accuracy.