This project involved using CleveLabs software to record and analyze EEG signals from the frontal and occipital lobes while subjects performed various activities such as blinking, chewing, closing their eyes, and solving mental math problems. We observed how these activities affected the EEG signal, noting spike-like artifacts during blinking and chewing, and variations in alpha and beta rhythms depending on the task. By applying different filtering techniques, we were able to isolate and emphasize specific brain wave patterns.
Additionally, we analyzed EEG recordings of epileptic seizures to understand their temporal and spectral characteristics, noting the differences between normal brain activity and seizure events. This comprehensive analysis not only demonstrated the practical applications of EEG in observing brain function and detecting neurological disorders but also highlighted the importance of advanced signal processing techniques in distinguishing between normal and abnormal brain activity.
If you would like to learn more about this project, a comprehensive report is available below.