Project description
Your heart needs a good night’s sleep
Obstructive sleep apnoea (OSA) increases risks for cardiovascular disease – coronary artery disease, congestive heart failure and stroke. The underlying reasons behind this complex association between sleep disordered breathing and cardiovascular disease are not entirely defined. Experimental observation and data analysis are crucial to identify the mechanisms at work. The EU-funded DEEPDREAM project is combining advanced computational modelling, signal processing and interpretation techniques to assess the activation of the neural mechanisms related to intermittent hypoxia. The results will bring us one step closer to the prevention of cardiovascular diseases.
Objective
Prediction is crucial to reduce the risk of cardiovascular complications caused by CRDs, a significant public health issue. Intermittent hypoxia caused by obstructive sleep apnea (OSA) is known to contribute to impaired autonomic cardiac function, but the impact of apneas severity on autonomic cardiac function remains unclear.
Prediction is performed by using biomarkers, which can be proposed only if the pathophysiological mechanisms which link the severity of sleep apneas with heart rate variability alterations become clearer. A crucial condition to clarify these mechanisms is a close and continuous interaction between experimental observations and data analysis/modeling.
This project, which combined advanced computational modeling and signal processing and interpretation techniques to assess the activation of the neural mechanisms related to intermittent hypoxia, offers a concrete possibility to go one step further in the prevention of cardiovascular diseases in OSA.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences clinical medicine psychiatry sleep disorders
- medical and health sciences health sciences public health
- medical and health sciences health sciences infectious diseases RNA viruses coronaviruses
- natural sciences computer and information sciences computational science
- medical and health sciences clinical medicine cardiology cardiovascular diseases
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2018
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
08028 Barcelona
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.