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This project’s mission is to develop home-based and mobile system that empower citizen to fight cardiovascular diseases by preventive lifestyle and early diagnosis.

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Paulo de Carvalho
CISUC, DEI, University of Coimbra, Portugal


Paulo de Carvalho (PhD, Project Leader)
Jorge Henriques (PhD, Project Leader)
Amândio Marques (MSc Student)
Bernardete Ribeiro (PhD)
Dinesh Kumar (PhD Student)
Filipe Palrinhas (BSc Student)
Hugo Pereira (MSc Student)
Mário Brito (PhD Student)
Nuno Seixas (Researcher)
Paulo Gil (PhD)

Two researchers from the Faculty of Science and Technology, University of Coimbra (FCTUC) – Paulo de Carvalho and Jorge Henriques – in partnership with the Center for Cardiothoracic Surgery of the Hospitals of University Coimbra are members of the largest European Project for Prevention and Early Detection of Cardiovascular Diseases – the project MyHeart.

Focused on the development of applications for early detection of heart valve dysfunction in the detection of ventricular arrhythmias, the latter disease the main cause responsible for the occurrence of sudden death.
The primary mission of My Heart is to find technological solutions that can prevent the occurrence of cardiovascular problems and permit the timely detection of these disorders. Its target audience the main groups of risk associated with cardiovascular disease, particularly obesity, inactivity, stress and problems with sleep.

Cardiovascular disease is currently the leading cause of death in the industrialized world. Statistics of the European Union refer to this type of pathology is responsible for 45% of total deaths, far exceeding the number of fatalities due to cancer.

My Heart has the participation of 34 bodies from 10 European countries, and a hospital coming from the USA. Part of this partnership the most important European companies involved in the clinical area, universities, research units, hospitals and telecommunications companies.

Cardiovascular disease, Disease, Cardiovascular problems, Preventive lifestyle, Learning, Early Cardiac Disease Detection

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