Project description
Upper-limb rehab with personalised therapy
Millions suffer from upper-limb impairments caused by stroke, spinal cord injury, or neurological conditions. These are life-altering challenges that strain both patients and healthcare systems. Current rehabilitation methods are often one-size-fits-all: rigid, repetitive, and demotivating. Supported by the Marie Skłodowska-Curie Actions programme, the ACORN-PURM project is changing that. It is developing a next-generation rehab system using soft robotics and machine learning to deliver personalised, adaptive therapy. Think real-time adjustments based on fatigue and movement, gamified sessions to boost motivation, and smart tracking of subtle progress. By matching every session to the user’s needs and abilities, ACORN-PURM aims to make therapy more comfortable, engaging, and effective, transforming rehab into something people want to do, not have to do.
Objective
ACORN-PURM (AC) develops a next-generation upper-limb rehabilitation system that leverages adaptive control of soft robots and ML to provide personalized therapy based on individual patient needs, significantly improving user engagement and recovery outcomes. Stroke, spinal cord injuries, and other neurological conditions cause upper-limb disabilities, affecting millions globally and leave them with impairment. It creates a significant burden on healthcare systems. Current rehabilitation approaches often lack personalization, leading to decreased motivation and suboptimal outcomes. AC addresses this critical gap by developing an innovative solution that is: more engaging, data-driven, and patient-specific system that tailors therapy to individual needs, enhancing patient engagement and potentially accelerating recovery. The system has the following unique features: Gamified exercises enhance motivation and adherence to therapy schedules, real-time adjustments based on user intent and fatigue levels optimize therapeutic benefit, soft robotics ensure patient comfort and safety during rehabilitation sessions. Existing robot-assisted therapies are often rigid, uncomfortable, and lack real-time adjustments based on individual progress, offering one-size-fits-all approaches. Relying heavily on subjective therapist evaluations for progress tracking can be repetitive and tedious, leading to patient dropout and possess limited ability to anticipate user intentions. AC advances the field by 1) Developing Adaptive Controllers with ML that will adjust assistance levels based on individual real-time data for a truly personalized experience, 2) Utilizing DL for Advanced Movement Recognition and Assessment to analyze user data for objective assessment of subtle improvements and compensation strategies, 3) Creating gamified therapy with ML Integration to have engaging games that dynamically adjust difficulty and target specific user needs, promoting long-term engagement.
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 materials engineering amorphous solids amorphous semiconductors
- medical and health sciences clinical medicine physiotherapy
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics soft robotics
- medical and health sciences basic medicine neurology stroke
- natural sciences computer and information sciences artificial intelligence machine learning
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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)
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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
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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.
43003 Tarragona
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.