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Epilepsy, sometimes known as seizure disorder, is a brain disorder that affects individuals of all ages. Although it can be seen as a rare disease, there are an estimated 50 million people affected by epilepsy worldwide. In developing countries, such as Guatemala, the diagnosis and treatment of this disease is difficult, due to cultural and socioeconomic factors. Furthermore, the study of epilepsy is limited to a small percentage of neurologists.<\/p>\n\n\n
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Considering these factors, in 2020 the Department of Electronics, Mechatronics and Biomedical Engineering of the Universidad Del Valle de Guatemala (UVG), in collaboration with the Center for Epilepsy and Functional Neurosurgery (HUMANA), started a project that seeks to develop and implement a database and a software tool for the storage, processing and analysis of biomedical signals of patients with epilepsy.<\/p>\n\n\n\n
The goal is to apply machine learning and pattern recognition methods to these signals, in order to find important features and detect epileptic episodes automatically.<\/p>\n\n\n\n