The prototype of the EEG (electroencephalogram) instrumentation systems has been developed based on 32-bit microcontrollers of Cortex-M3 ATSAM3X8E and Analog Front-End (AFE) ADS1299 (Texas Instruments, USA), and also consists of 16-channel dry-electrodes in the form of EEG head-caps. The ADS1299-AFE has been designed in a double-layer format PCB (Print Circuit Board) with daisy-chain configuration. The communication protocol of the prototype was based on SPI (Serial Peripheral Interface) and tested using USB SPI-Logic Analyzer Hantek4032L (Qingdao Hantek Electronic, China). The acquired data of the 16-channel from this prototype has been successfully transferred to a PC (Personal Computer) with accuracy greater than 91 %. The data acquisition system has been visualized with time-domain format in the multi-graph plotter, the frequency-domain based on FFT (Fast Fourier Transform) calculation, and also brain-mapping display of 16-channel. The GUI (Graphical User Interface) has been developed based on OpenBCI (Brain Computer Interface) using Java Processing and also can be stored of data in the *.txt format. Instrumentation systems have been tested in the frequency range of 1-50 Hz using MiniSim 330 EEG Simulator (NETECH, USA). The validation process has been done with different frequency of 0.1 Hz, 2 Hz, 5 Hz, and 50 Hz, and difference voltage amplitudes of 10 µV, 30 µV, 50 µV, 100 µV, 500 µV, 1 mV, 2 mV and 2.5 mV. However, the acquisition system was not optimal at a frequency of 0.1 Hz and for amplitude potentials of over 1 mV had differences of the order 10 µV.
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10 July 2017
INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES 2016 (ISCPMS 2016): Proceedings of the 2nd International Symposium on Current Progress in Mathematics and Sciences 2016
1–2 November 2016
Depok, Jawa Barat, Indonesia
Research Article|
July 10 2017
Data acquisition system of 16-channel EEG based on ATSAM3X8E ARM Cortex-M3 32-bit microcontroller and ADS1299 Free
L. O. H. Z. Toresano;
L. O. H. Z. Toresano
1Department of Physics, Faculty of Mathematics and Natural Sciences (FMIPA),
Universitas Indonesia
, Depok 16424, Indonesia
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S. K. Wijaya;
S. K. Wijaya
a)
1Department of Physics, Faculty of Mathematics and Natural Sciences (FMIPA),
Universitas Indonesia
, Depok 16424, Indonesia
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Prawito;
Prawito
1Department of Physics, Faculty of Mathematics and Natural Sciences (FMIPA),
Universitas Indonesia
, Depok 16424, Indonesia
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A. Sudarmaji;
A. Sudarmaji
1Department of Physics, Faculty of Mathematics and Natural Sciences (FMIPA),
Universitas Indonesia
, Depok 16424, Indonesia
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C. Badri
C. Badri
2Biomedical Technology-TBM, Postgraduate Program,
Universitas Indonesia
, Kampus UI Salemba, Jakarta 10430, Indonesia
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L. O. H. Z. Toresano
1
S. K. Wijaya
1,a)
Prawito
1
A. Sudarmaji
1
C. Badri
2
1Department of Physics, Faculty of Mathematics and Natural Sciences (FMIPA),
Universitas Indonesia
, Depok 16424, Indonesia
2Biomedical Technology-TBM, Postgraduate Program,
Universitas Indonesia
, Kampus UI Salemba, Jakarta 10430, Indonesia
a)
Corresponding author: [email protected]
AIP Conf. Proc. 1862, 030149 (2017)
Citation
L. O. H. Z. Toresano, S. K. Wijaya, Prawito, A. Sudarmaji, C. Badri; Data acquisition system of 16-channel EEG based on ATSAM3X8E ARM Cortex-M3 32-bit microcontroller and ADS1299. AIP Conf. Proc. 10 July 2017; 1862 (1): 030149. https://doi.org/10.1063/1.4991253
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