Monitoring System For Patients With Epilepsy

In the pandemic context of the last year and a half, there has been an increasing emphasis on the need to digitize health systems and even more, on telemedicine and wearable devices. The purpose of this paper is to automatically classify the acquired EEG signals using the proposed hardware system along with viewing and exporting these results from the graphical user interface. Regarding the classification algorithm, the training data will be considered those extracted from Physionet, and the test data of the algorithm will be represented by the acquired own signals. In this sense, the signals will be preprocessed and the most significant characteristics will be extracted together with statistical measures in time and frequency.