Project description
Advanced training in assistive health technology
Assistive health technology aims to improve health outcomes and address the challenges posed by various diseases. Notable examples include home-based rehabilitation robotics, electric wheelchairs, telehealth applications, and powered prostheses. However, these technologies still face limitations when operating outside their specifically tailored environments, which impacts safety and reliability in dynamic scenarios. With the support of the Marie Skłodowska-Curie Actions programme, the AERIALIST project seeks to advance assistive health technology by leveraging machine learning advancements. It aims to nurture a new generation of multidisciplinary doctoral candidates who will collaborate with industry partners and health technology developers to create technologies that enhance health diagnoses, treatments, and overall quality of life while promoting equity in daily activities.
Objective
In healthcare, assistive health technology plays a pivotal role as a catalyst for positive transformation. These innovative solutions are crafted to improve health outcomes and treatment regimens and address the challenges of various diseases. Their overarching mission is to enhance the overall quality of life while ensuring equal access to and participation in daily activities for everyone, encompassing patients with various health conditions, the expanding elderly population, and even individuals navigating an increasingly automated and demanding work environment.
Outstanding instances of assistive health technology include home-based rehabilitation robotics that target sensorimotor deficits, electric wheelchairs providing individuals with independent mobility, telehealth applications facilitating cardiovascular monitoring, and powered prostheses that reinstate mobility and instil confidence in everyday activities.
Despite recent strides in hardware, sensing, control systems and actuation technologies, notable limitations persist. These systems often encounter challenges when operating beyond their specifically tailored environments, necessitating manual adjustments and limiting safety and reliability in dynamic scenarios. We aim to push assistive health technology towards intelligent, safe, and reliable assistance that mirrors human interaction. This entails harnessing the latest ML advancements for real-world human-engineering system interactions.
We are committed to cultivating a new generation of multidisciplinary doctoral candidates to realise this vision. Through close collaboration with industry partners, and assistive health technology developers, these candidates will gain knowledge from diverse disciplines, encompassing sensing, control, and safety considerations. The ultimate outcome will be assistive health technologies that elevate health diagnoses, treatments, and the overall quality of life, ultimately fostering equity in daily activities.
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 control systems
- medical and health sciences clinical medicine physiotherapy
- natural sciences chemical sciences catalysis
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics
- medical and health sciences medical biotechnology implants
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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-DN - HORIZON TMA MSCA Doctoral Networks
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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-2023-DN-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.
3000 Leuven
Belgium
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Participants (9)
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30167 Hannover
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8020 Graz
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1110 Wien
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80686 Munchen
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1050-059 Lisboa
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28006 Madrid
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56017 Pisa
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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.
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56127 Pisa
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52062 Aachen
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Partners (15)
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2628 CN Delft
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8006 Zurich
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4051 Basel
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8008 Zürich
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8952 Schlieren
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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2829 516 Caparica
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78467 Konstanz
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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.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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.
6006 Luzern
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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.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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10587 Berlin
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20133 Milano
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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45071 Toledo
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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.
8092 Zuerich
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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40126 Bologna
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67663 Kaiserslautern
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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3015 GD Rotterdam
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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.