Reconhecimento e classificação de eletrocardiogramas utilizando inteligência artificial

Abstract

Early diagnosis is crucial for the treatment of heart disease, this can be a decisive factor in the recovery of a patient in these conditions. This process involves knowledge and experience of the professional responsible for examining the exams to determine the patient's condition. Therefore, there is great interest in applying Artificial Intelligence and Machine Learning techniques to assist health professionals in making such decisions. In view of this, the present study is dedicated to the development of a system to assist in the diagnosis of cardiac arrhythmias, being trained with a pre-processed database to learn the model and after that be able to classify new data. Additionally, a web application was developed that communicates with artificial intelligence through an API, with the intention of allowing access by the professional, so that the application can receive the heart beat data and present the classification in an uncomplicated and intuitive way.