Congestive Heart Failure Risk Assessment Monitoring through Internet of things and mobile Personal Health Systems

Congestive heart failure (CHF) occurs when the heart cannot provide the necessary cardiac output for the metabolic needs of the human body. The most prominent symptoms are increased venous pressure, abnormal heart and breathing rate, tiredness and leg swelling. Most important pathogenesis influence are: age, gender, high blood pressure, alcohol and smoking, sedentary lifestyle and diet, genetic predisposition and family history, diabetes, and atherosclerosis. Common causes are considered to be valvular heart disease, coronary heart disease and hypertension. CHF diagnosis can be achieved through physical examination (i.e., blood pressure, body mass index, blood tests) and echocardiography. In this work, we present a smart mobile application and internet of things capable of the early detection and real-time monitoring of CHF exacerbations, enforcing prevention on a daily basis. We refer to the architectural elements of our approach accounting for the integration of a secure access scheme, following GDPR regulation, as a novel biometric solution to increase security and access. A first validation of the system is also presented.