Electroencephalography (EEG) measurement system is used in the health field for the diagnosis of some diseases, and the improvement of the learning process. In this study, an embedded system consisting of two parts, hardware and software has been designed and implemented for processing and displaying the EEG signal. In the hardware section, electronic circuit design and implementation are provided for measuring, amplifying, filtering, extracting EEG rhythms, and wirelessly transmitting the EEG signal. In the software section, a smartphone application interface is developed for that the measured raw EEG signal and rhythms can be displayed in real-time.
Balım, M. A. (2018). 8 Kanallı Taşınabilir EEG Ölçüm Cihazı [Master's thesis, Bursa Technical University]. Yüksek Öğretim Kurulu Ulusal Tez Merkezi. https://tez.yok.gov.tr/UlusalTezMerkezi/tezDetay.jsp?id=TpCMYmF_t0cWrHsbO4XAQQ&no=c3dfJ_3ZO9am7F6NaqlUrQ
Bronzino, J. D. (2006). The Biomedical Engineering Handbook, (3rd ed.). CRC Press.
Bueno, L., Pons, J. L., & Bastos Filho, T. F. (2013). An embedded system for an EEG based BCI. 2013 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living (BRC), 1–5. https://doi.org/10.1109/BRC.2013.6487457
Chen, X., & Wang, Z. J. (2011). Design and implementation of a wearable, wireless EEG recording system. 2011 5th International Conference on Bioinformatics and Biomedical Engineering, 1–4. https://doi.org/10.1109/icbbe.2011.5781501
EL Menshawy, M., Benharref, A., & Serhani, M. (2015). An automatic mobile-health based approach for EEG epileptic seizures detection. Expert Systems with Applications, 42(20), 7157–7174. https://doi.org/10.1016/j.eswa.2015.04.068
Engin, M., Dalbastı, T., Güldüren, M., Davaslı, E., & Engin, E. Z. (2007). A prototype portable system for EEG measurements. Measurement, 40(9–10), 936–942. https://doi.org/10.1016/j.measurement.2006.10.018
Günaydın, O. (2010). Design Of A Brain Computer Interface (BCI) System Based On Electroencephalogram (EEG) [Master's thesis, Boğaziçi University]. Yüksek Öğretim Kurulu Ulusal Tez Merkezi. https://tez.yok.gov.tr/UlusalTezMerkezi/tezDetay.jsp?id=f85Ehi2ivyvosYC4EkCiAQ&no=eYV1BVAsSBk77KpRZq_8Ew
Kropotov, J. D. (2009). Quantitative EEG, Event-Related Potentials and Neurotherapy. Elsevier. https://doi.org/10.1016/B978-0-12-374512-5.X0001-1
Ni, D., Wang, S., & Liu, G. (2020). The EEG-Based Attention Analysis in Multimedia m-Learning. Computational and Mathematical Methods in Medicine, 2020, 4837291. https://doi.org/10.1155/2020/4837291
Song, W., Yu, H., Liang, C., Wang, Q., & Shi, Y. (2012). Body monitoring system design based on android smartphone. 2012 World Congress on Information and Communication Technologies, 1147–1151. https://doi.org/10.1109/WICT.2012.6409247
Şahin, M. (2015). EEG Sinyali Almak İçin Sistem Tasarımı [Master's thesis, Bozok University]. Yozgat Bozok University Dspace. http://dspace.bozok.edu.tr/xmlui/bitstream/handle/11460/436/413227.pdf
Thenappana S., Nagarajanb R., & Kannadhasanc S. (2021). Performance Improvement in Electroencephalogram Signal by Using DWT. Turkish Journal of Computer and Mathematics Education, 12(10), 2770-2775. https://doi.org/10.17762/turcomat.v12i10.4895
Zhang, L., Guo, X., Wu, X., & Zhou, B. (2013). Low-cost circuit design of EEG signal acquisition for the brain-computer interface system. 2013 6th International Conference on Biomedical Engineering and Informatics, 245–250. https://doi.org/10.1109/BMEI.2013.6746942
Taşınabilir ve Kablosuz EEG Cihazı Prototibi Tasarımı ve Gerçeklemesi
Elektroensefalografi (EEG) ölçüm sistemi, sağlık alanında bazı hastalıkların teşhisinde ve öğrenme sürecinin iyileştirilmesinde kullanılmaktadır. Bu çalışmada EEG işaretinin işlenmesi ve görüntülenmesi için donanım ve yazılım olmak üzere iki bölümden oluşan bir gömülü sistem tasarımı ve gerçeklemesi yapılmıştır. Donanım bölümünde EEG işaretinin ölçülmesi, yükseltilmesi, süzgeçlenmesi, ritimlerinin çıkarılması ve kablosuz olarak gönderilmesi için elektronik devre tasarımı ve gerçeklemesi sağlanmıştır. Yazılım bölümünde ise ölçülen ham EEG işaretinin ve ritimleri gerçek zamanlı görüntülenmesi için akıllı cep telefonu uygulaması yerli arayüzü yazılmıştır.
Balım, M. A. (2018). 8 Kanallı Taşınabilir EEG Ölçüm Cihazı [Master's thesis, Bursa Technical University]. Yüksek Öğretim Kurulu Ulusal Tez Merkezi. https://tez.yok.gov.tr/UlusalTezMerkezi/tezDetay.jsp?id=TpCMYmF_t0cWrHsbO4XAQQ&no=c3dfJ_3ZO9am7F6NaqlUrQ
Bronzino, J. D. (2006). The Biomedical Engineering Handbook, (3rd ed.). CRC Press.
Bueno, L., Pons, J. L., & Bastos Filho, T. F. (2013). An embedded system for an EEG based BCI. 2013 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living (BRC), 1–5. https://doi.org/10.1109/BRC.2013.6487457
Chen, X., & Wang, Z. J. (2011). Design and implementation of a wearable, wireless EEG recording system. 2011 5th International Conference on Bioinformatics and Biomedical Engineering, 1–4. https://doi.org/10.1109/icbbe.2011.5781501
EL Menshawy, M., Benharref, A., & Serhani, M. (2015). An automatic mobile-health based approach for EEG epileptic seizures detection. Expert Systems with Applications, 42(20), 7157–7174. https://doi.org/10.1016/j.eswa.2015.04.068
Engin, M., Dalbastı, T., Güldüren, M., Davaslı, E., & Engin, E. Z. (2007). A prototype portable system for EEG measurements. Measurement, 40(9–10), 936–942. https://doi.org/10.1016/j.measurement.2006.10.018
Günaydın, O. (2010). Design Of A Brain Computer Interface (BCI) System Based On Electroencephalogram (EEG) [Master's thesis, Boğaziçi University]. Yüksek Öğretim Kurulu Ulusal Tez Merkezi. https://tez.yok.gov.tr/UlusalTezMerkezi/tezDetay.jsp?id=f85Ehi2ivyvosYC4EkCiAQ&no=eYV1BVAsSBk77KpRZq_8Ew
Kropotov, J. D. (2009). Quantitative EEG, Event-Related Potentials and Neurotherapy. Elsevier. https://doi.org/10.1016/B978-0-12-374512-5.X0001-1
Ni, D., Wang, S., & Liu, G. (2020). The EEG-Based Attention Analysis in Multimedia m-Learning. Computational and Mathematical Methods in Medicine, 2020, 4837291. https://doi.org/10.1155/2020/4837291
Song, W., Yu, H., Liang, C., Wang, Q., & Shi, Y. (2012). Body monitoring system design based on android smartphone. 2012 World Congress on Information and Communication Technologies, 1147–1151. https://doi.org/10.1109/WICT.2012.6409247
Şahin, M. (2015). EEG Sinyali Almak İçin Sistem Tasarımı [Master's thesis, Bozok University]. Yozgat Bozok University Dspace. http://dspace.bozok.edu.tr/xmlui/bitstream/handle/11460/436/413227.pdf
Thenappana S., Nagarajanb R., & Kannadhasanc S. (2021). Performance Improvement in Electroencephalogram Signal by Using DWT. Turkish Journal of Computer and Mathematics Education, 12(10), 2770-2775. https://doi.org/10.17762/turcomat.v12i10.4895
Zhang, L., Guo, X., Wu, X., & Zhou, B. (2013). Low-cost circuit design of EEG signal acquisition for the brain-computer interface system. 2013 6th International Conference on Biomedical Engineering and Informatics, 245–250. https://doi.org/10.1109/BMEI.2013.6746942
Bitar, H., & Tepe, C. (2021). Design and Implementation of Prototype for Portable and Wireless EEG Device. Avrupa Bilim Ve Teknoloji Dergisi(29), 225-230. https://doi.org/10.31590/ejosat.1016694