Context:
Chronic diseases are diseases of long duration and generally slow
progression which are by far the leading cause of mortality in the world. Among
all chronic illnesses, cardiovascular diseases (CVDs) are the number one cause
of global deaths (more people die annually from CVDs than from any other cause).
Furthermore, studies related to economic burden of cardiovascular diseases
reveal that CVDs costs to the Health Care Systems of the EU just under 110
billion € in 2006, representing around 10 % of the total EU Health Care
expenditure.
Recent research is supportive of the beneficial effects of exercise
based cardiac rehabilitation in patients with heart failure as well as in older
patients. Unfortunately, exercise based cardiac rehabilitation continues to be
considerably underutilized with poor referral and enrolment rates, especially in
phase III of the rehabilitation model. Implementing quality performance
measures, automated referral systems, and the option of home-based cardiac
rehabilitation for some patients may all help to increase participation. In
addition, innovative exercise training regimens may help to enhance the
beneficial effects of cardiac rehabilitation.
Objectives:
HEARTWAYS has the objective to develop an advanced modular solution for
supporting cardiac patients in rehabilitation outside a medicalized centre with
the aid of wearable sensors and intelligent algorithms that personalize the
management and the follow-up for patients and professionals.
The proposed solution is structured in three different layers. The
first one, the monitoring layer, is composed of a combination of smart and
wearable sensors, specialized in the monitoring of the vital signs needed for
the diagnosis of targeted patients; the second level implements a
multiparametric analysis and processing layer that augments the information
provided by the standalone monitoring modules and allows a multiparametric
assessment of the patient’s status, evolution, performance and predicted CV
risk. The last layer is devoted to improve the way patients are managed by
healthcare professionals and to create those mechanisms that enable the
personalized support to the patient. On the first case, the focus is on enabling
a simpler control of patients without reducing the quality of care, increasing
the possibilities of handling more patients at the same time and allowing a
better adjustment of the available resources to the
concrete needs of the individual patients. On the second case, the aim is in
increasing the capabilities of the solution to combine the medical needs with
the patient’s preferences as well as incorporating a comprehensive motivation
and psychological support strategy that complements and reinforces the treatment
guidelines.
The research leading to these results has received funding from the European Union's
Seventh Framework Programme managed by REA-Research Executive Agency (FP7-SME-2012,
Research for SMEs) under grant agreement nº 315659.