Um sistema adaptativo para detecção de ondas de eletrocardiografia

Abstract

The electrocardiography (ECG) is an important exam to support the diagnosis of heart problems which provided important advances in how heart problems are diagnosed and monitored, making possible advances in medicine and building tools to aid in the treatment of patients. Monitoring systems for electrocardiographic examinations allow patients to be monitored by doctors and nurses on an ongoing basis and more accurate, allowing a more e ective treatment. As these systems do not have a guarantee of 100 % accuracy, this paper proposes a new algorithm that aims to help improve the percentage of correct detections in the waves that make up this type of examination. This paper presents the use of genetic algorithm based on abstract data types (GAADT) for the construction of an algorithm and system for detecting di erent types of waves of an ECG examination, which may, inter alia, be used in a system monitoring of cardiac arrhythmias. The system was developed using samples obtained from examinations of the MIT-BIH Database. The results were analyzed and compared with those of other works and software, which allowed an assessment of the quality of results and, consequently, the algorithm built.