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Journals / Gazi University Journal of Science / 2026 / Volume: 35 Issue: 3

ARM MCU-Based Experimental EEG Signal Generator Using Internal DAC and PWM Outputs

Ertuğrul Karakulak(NAMIK KEMAL ÜNİVERSİTESİ, TEKNİK BİLİMLER MESLEK YÜKSEKOKULU)0000-0001-5937-2114
Pages
—
Publication Date
2022-09-01
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It has been shown that the experimental signals taken from the database can be generated by using cheap and easily accessible electronic devices.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Electrophysiological signal generators are widely used in biomedical engineering research, biomedical education and the testing of devices in hospitals.
📊
Key Findings & Data:In addition, the PWM and DAC outputs of the microcontroller are used and examined separately to generate the signal.
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Conclusion & Impact:It has been shown that the experimental signals taken from the database can be generated by using cheap and easily accessible electronic devices.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Signal generator · Electroencephalograpram · Microcontroller

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.

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Cite This Article

Karakulak, E. (2022). ARM MCU-Based Experimental EEG Signal Generator Using Internal DAC and PWM Outputs. Gazi University Journal of Science, Volume: 35 Issue: 3. https://doi.org/10.35378/gujs.860994

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