using more complex tools by Artificial Intelligence (AI) such as Machine learning, Fuzzy Approximate Entropy, sLORETA among others, added to clinical information, depending on the demand for sensitivity and specificity of the system developed to structure high-precision classification parameters in diagnostic and prognostic evaluation, enabling better results in interventions.