Iot system for self-diagnosis of heart diseases using mathematical evaluation of cardiac dynamics based on probability theory

Abstract

Cardiovascular diseases are one of the most frequent worldwide death causes, this owing to a late detection of that illnesses, however, the majority of people do not carry out proper cardiovascular health check-ups due to a lack of time or resources. For that reason, we propose an IoT services oriented system which throughout patient’s mobile device and heart rate monitor, using an analysis methodology based on the probability theory, allows the patient to take preventive check-ups in his own anytime, and lets him know when it is necessary to consult medical services, all of that supported in a proved and reliable diagnosis. Finally, we show a system implementation test, the results and the future work derived from this research.