Project description
Cardiorespiratory monitoring in elite athletes
Non-communicable diseases (NCDs), particularly cardiorespiratory (CR) issues, significantly impact global health, with many manifesting during intense physical activity. Supported by the Marie Skłodowska-Curie Actions programme, the SWEATHEART project will develop an energy-efficient wearable system to monitor CR parameters during high-intensity exercise. By using low-cost, non-invasive sensors, the system will track athletes’ CR data in real time, tailoring exercise regimens to individual profiles. This will help prevent overreaching and reduce the risk of CR problems. The multidisciplinary team behind SWEATHEART, with expertise in exercise physiology, machine learning, and biomedical applications, is working to revolutionise how athletes and fitness enthusiasts safely approach high-intensity training.
Objective
"In the context of the EU ""Healthier Together"" initiative, the main objectives include reducing the significant health burden of Non-Communicable Diseases (NCDs), especially cardiorespiratory (CR) ones, and improving the overall health and well-being of the community. As several CR diseases manifest during extreme exercise, there is a need to monitor these conditions and tailor the exercise regimens to the specific subject’s CR profile.
The goal of SWEATHEART is to create an energy-efficient embedded wearable system to continuously monitor CR parameters during high-intensity exercise and exercise-induced phenomena in elite athletes, whose profile is the most suited. It will use accurate wearable sensors in real-world training sessions to tailor exercise prescriptions and prevent overreaching and cardiorespiratory issues. To achieve the goal, SWEATHEART will follow three objectives: 1) Detect the CR parameters in real-time using an optimal set of non-invasive and low-cost wearable sensors and emerging computing techniques; 2) Detect fatigue and overreaching derived by extreme exercise based on the extracted CR parameters; 3) Design an energy-efficient embedded system for tailored exercise prescription based on the CR parameters and overreaching.
The project requires multidisciplinary involvement of different parties. The host institution and the supervisor have extensive knowledge of mathematical and statistical modeling and machine learning methodologies. Moreover, their collaborations with sports clubs and the supervisor's start-up experience will enhance the project results and the researchers's future career development. The secondment institution specializes in exercise physiology and has long-lasting experience in data protocol design. The applicant contributes to the system-level design of embedded wearable sensors for biomedical applications. The hosts and applicant will mutually benefit from the project outcomes and the newly formed collaborations."
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.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- medical and health sciences basic medicine physiology
- natural sciences computer and information sciences artificial intelligence machine learning
- medical and health sciences health sciences sport and fitness sciences
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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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.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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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) HORIZON-MSCA-2024-PF-01
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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.
48009 Bilbao
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.