Research Article
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Year 2022, , 886 - 894, 01.09.2022
https://doi.org/10.35378/gujs.860994

Abstract

References

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  • [2] Abiri, R., Borhani, S., Sellers, E. W., Jiang, Y., Zhao, X., "A comprehensive review of EEG-based brain–computer interface paradigms.", Journal of Neural Engineering 16(1), (2019).
  • [3] Balandong, R. P., Ahmad, R. F., Saad, M. N. M., Malik, A. S., "A review on EEG-based automatic sleepiness detection systems for driver.", IEEE Access, 6: 22908-22919, (2018).
  • [4] Shakir, M., Qidwai, U., Malik, A. S., Kamel, N., "Electroencephalography Simulation Hardware for Realistic Seizure, Preseizure and Normal Mode Signal Generation.", Journal of Medical Imaging and Health Informatics, 5(1): 43-49, (2015).
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  • [6] https://www.netechcorp.us/Products/details/330-EEG-Simulator_71. Access date: 01.01.2021
  • [7] Yener, S. C., Mutlu, R., "A microcontroller-based ECG signal generator design utilizing microcontroller PWM output and experimental ECG data.", 2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT), Istanbul, 1-4, (2018).
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  • [9] Jun-an, Z., "The Design of ECG Signal Generator using PIC24F ", Procedia Engineering, 24: 523-527, (2011).
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  • [11] https://sccn.ucsd.edu/~arno/fam2data/publicly_available_EEG_data.html. Access date: 01.01.2021
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ARM MCU-Based Experimental EEG Signal Generator Using Internal DAC and PWM Outputs

Year 2022, , 886 - 894, 01.09.2022
https://doi.org/10.35378/gujs.860994

Abstract

Electrophysiological signal generators are widely used in biomedical engineering research, biomedical education and the testing of devices in hospitals. Such signal generators are also available commercially. The EEG (Electroencephalography) signal is an electrophysiological signal which is emitted from the brain. In this study, a signal generator that produces experimental EEG signals taken from databases is proposed. The proposed signal generator reads the experimental data from an SD card with SDIO serial protocol. In addition, the PWM and DAC outputs of the microcontroller are used and examined separately to generate the signal. It has been shown that the experimental signals taken from the database can be generated by using cheap and easily accessible electronic devices.

Thanks

The author would like to thank Şuayp Çağrı Yener for his help with software.

References

  • [1] Güçlü, B., “Low-cost computer-controlled current stimulator for the student laboratory,”, Advances in Physiology Education, 31(2): 223–231, (2007).
  • [2] Abiri, R., Borhani, S., Sellers, E. W., Jiang, Y., Zhao, X., "A comprehensive review of EEG-based brain–computer interface paradigms.", Journal of Neural Engineering 16(1), (2019).
  • [3] Balandong, R. P., Ahmad, R. F., Saad, M. N. M., Malik, A. S., "A review on EEG-based automatic sleepiness detection systems for driver.", IEEE Access, 6: 22908-22919, (2018).
  • [4] Shakir, M., Qidwai, U., Malik, A. S., Kamel, N., "Electroencephalography Simulation Hardware for Realistic Seizure, Preseizure and Normal Mode Signal Generation.", Journal of Medical Imaging and Health Informatics, 5(1): 43-49, (2015).
  • [5] Tejkl, L., Kudrna, P., Rafl, J., Svoboda, J., "Patient Simulators in Medical Education: New Enhancements.", 2019 E-Health and Bioengineering Conference (EHB), Lasi, Romania, 1-4, (2019).
  • [6] https://www.netechcorp.us/Products/details/330-EEG-Simulator_71. Access date: 01.01.2021
  • [7] Yener, S. C., Mutlu, R., "A microcontroller-based ECG signal generator design utilizing microcontroller PWM output and experimental ECG data.", 2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT), Istanbul, 1-4, (2018).
  • [8] Jun-an, Z., "The Design of ECG Signal Generator using PIC24F ", Procedia Engineering, 24: 523-527, (2011).
  • [9] Jun-an, Z., "The Design of ECG Signal Generator using PIC24F ", Procedia Engineering, 24: 523-527, (2011).
  • Wei, Y. C., Wei, Y. Y., Wey, S. T., Jang, L. S., "Design of a programmable ecg generator using a dynamical model.", Applied Mechanics and Materials, 311:485-490, (2013).
  • [10] McSharry, P. E., Clifford, G. D. , Tarassenko, L., Smith, L. A., “Dynamical model for generating synthetic electrocardiogram signals”, IEEE Transactions On Biomedical Engineering, 50: 289-294, (2003).
  • [11] https://sccn.ucsd.edu/~arno/fam2data/publicly_available_EEG_data.html. Access date: 01.01.2021
  • [12] Campisi, P., La Rocca, D., “Brain waves for automatic biometric-based user recognition”, IEEE Transactions on Information Forensics and Security, 9(5): 782–800, (2014).
There are 13 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Electrical & Electronics Engineering
Authors

Ertuğrul Karakulak 0000-0001-5937-2114

Publication Date September 1, 2022
Published in Issue Year 2022

Cite

APA Karakulak, E. (2022). ARM MCU-Based Experimental EEG Signal Generator Using Internal DAC and PWM Outputs. Gazi University Journal of Science, 35(3), 886-894. https://doi.org/10.35378/gujs.860994
AMA Karakulak E. ARM MCU-Based Experimental EEG Signal Generator Using Internal DAC and PWM Outputs. Gazi University Journal of Science. September 2022;35(3):886-894. doi:10.35378/gujs.860994
Chicago Karakulak, Ertuğrul. “ARM MCU-Based Experimental EEG Signal Generator Using Internal DAC and PWM Outputs”. Gazi University Journal of Science 35, no. 3 (September 2022): 886-94. https://doi.org/10.35378/gujs.860994.
EndNote Karakulak E (September 1, 2022) ARM MCU-Based Experimental EEG Signal Generator Using Internal DAC and PWM Outputs. Gazi University Journal of Science 35 3 886–894.
IEEE E. Karakulak, “ARM MCU-Based Experimental EEG Signal Generator Using Internal DAC and PWM Outputs”, Gazi University Journal of Science, vol. 35, no. 3, pp. 886–894, 2022, doi: 10.35378/gujs.860994.
ISNAD Karakulak, Ertuğrul. “ARM MCU-Based Experimental EEG Signal Generator Using Internal DAC and PWM Outputs”. Gazi University Journal of Science 35/3 (September 2022), 886-894. https://doi.org/10.35378/gujs.860994.
JAMA Karakulak E. ARM MCU-Based Experimental EEG Signal Generator Using Internal DAC and PWM Outputs. Gazi University Journal of Science. 2022;35:886–894.
MLA Karakulak, Ertuğrul. “ARM MCU-Based Experimental EEG Signal Generator Using Internal DAC and PWM Outputs”. Gazi University Journal of Science, vol. 35, no. 3, 2022, pp. 886-94, doi:10.35378/gujs.860994.
Vancouver Karakulak E. ARM MCU-Based Experimental EEG Signal Generator Using Internal DAC and PWM Outputs. Gazi University Journal of Science. 2022;35(3):886-94.