FRONTEND OF AN EDUCATIONAL ELECTROPHYSIOLOGICAL ACQUISITION DEVICE

Authors

  • Boris Knežević Autor

DOI:

https://doi.org/10.24867/06BE07Knezevic

Keywords:

Microcontroller, electrophysiological signal

Abstract

The paper represents the realization of an educational electrophysiological acquisition device using the Mikromedia for Xmega developing platform and the ADS1299 microchip. It describes the components of the system as well as the program code. The end of the paper displays the results and the analysis of those results.

References

[1] D. Popović, M. Popović, „Biomedicinska merenja i
instrumentacija“, Akademska misao, Beograd 2007.
[2] O. Tomašević, L. Mejić, D. Stanišić, V. Ilić, F. Gašparić, „A Portable Device for Physiological Measurements in Biomedical Engineering Education“, Serbian Journal of Electrical Engineering, Vol. 16, No.1, 55-77, 2019.
[3] R. Stojanović, D. Karadaglić, „An Economical and Feasible Teaching Tool for Biomedical Education“, Proceedings of the 24th International Symposium on Computer-Based Medical Systems (CBMS), Bristol, Ujedinjeno Kraljevstvo, 2011.
[4] A. Hafid, S. Benouar, M. Kedir–Talha, F. Abtahi, M. Attari, F. Seoane, „Full Impedance Cardiography Measurement Device Using Raspberry Pi3 and System-on-Chip Biomedical Instrumentation Solutions“, IEEE Journal of Biomedical and Health Informatics, Vol. 22, No. 6, 1883-1894, 2018.
[5] C. A. Valliappan, A. Balaji, S. R. Thandayam, P. Dhingra, V. Baths, „A Portable Real Time ECG Device for Arrhythmia Detection Using Raspberry Pi“, Proceedings of the 6th International Conference on Wireless Mobile Communication and Healthcare (MobiHealth 2016), Italija, 2016.
[6] T. Cruz, S. Brás, S. C. Soares, J. M. Fernandes, „Monitoring Physiology and Behavior Using Android in Phobias“, Proceedings of the 37th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Italija, 2015.
[7] „Mikromedia for XMEGA Manual“, Ver. 1.11, MikroElektronika, 2012.
[8] „8-bit Atmel XMEGA A Microcontroller XMEGA“, A MANUAL 8077I–AVR 11/2012, Atmel.
[9] „ADS1299-x Low-Noise, 4-, 6-, 8-Channel, 24-Bit, Analog-to-Digital Converter for EEG and Biopotential Measurements, ADS1299, ADS1299-4, ADS1299-6“, Texas Instruments, SBAS499C, 2017.
[10] N. Jorgovanović, M. Stanković, Ž. Tepić, V. Ilić, D. Bojanić, „Laboratory System for Physiological Measurements“, Proceedings of the 1st International Conference on Electrical, Electronic and Computing Engineering, IcETRAN, Srbija, 2014.

Published

2019-12-21

Issue

Section

Electrotechnical and Computer Engineering