Development of a Skull Phantom for Artificial EEG Wave Generation and Analysis
Yazarlar (1)
Dr. Öğr. Üyesi Ekrem GÜLSEVİNÇLER Sinop Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale) | ||
| Dergi Adı | PROCEEDINGS BOOK | ||
| Makale Dili | – | Basım Tarihi | 11-2024 |
| Cilt / Sayı / Sayfa | 0 / 0 / 52–0 | DOI | – |
| Makale Linki | https://www.academia.edu/download/122402146/Proceedings_Book_Final.pdf#page=63 | ||
| UAK Araştırma Alanları |
Nükleer Enerji Sistemleri
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| Özet |
| Electroencephalography (EEG) electrodes are special sensors used to measure the electrical activity of the brain. These electrodes are placed on the scalp and provide information about neural activity by recording brain waves. EEG electrodes are usually small metal disks that are attached to the scalp with a conductive gel or adhesive. The development of biomedical devices, such as EEG electrodes, often requires human trials, which are complicated by the variability of EEG signals, their dependence on movement, and ethical concerns. To address these challenges, artificial tissues (phantoms) are used as substitutes for human organs. This study involved the creation of a skull phantom designed to generate artificial EEG waves. Using Fused Deposition Modeling (FDM) with polylactic acid (PLA) and A366/CQ black steel, beams were placed at three locations on the PLA skull phantom. The phantom was tested at motor speeds ranging from 10 to 100 rpm, and EEG waves were recorded using a piezo sensor connected to an Open BCI board. The collected data were simulated using the Low Resolution Electromagnetic Tomography (LORETA) program, followed by filtering and classification using Python. For the classification process, the Root Mean Square method, a machine learning algorithm, was utilized. In conclusion, the gamma frequency band is dominant across most channels, indicating a high intensity of high-frequency brain activity (above 30 Hz) in the EEG data. Gamma waves are typically associated with intense cognitive processing, perceptual tasks, and conscious awareness. These waves help us understand the complex and … |
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