A Radial Basis Neural Network Based Agent Module Exploiting ECG Signals to Prevent Heart Diseases
نویسندگان
چکیده
Today, Electro-Cardiogram (ECG) is considered the most important diagnostic tool in cardiology, because its extremely accuracy to reveal potential pathologic heart activities. In the context of a multi-agent system, where agents provide to monitor the health of patients in a personalized manner on the bases of different embedded modules, we propose a module developed with the aim to prevent possible hearth diseases. It is based on a Radial Basis Neural Network (RBNN) able to analyze the ECG signals and to evaluate the impact of some specific parameters for preventing heart diseases.
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تاریخ انتشار 2017