MONITORING AND DELIVERING PERSONALISED HAND NEUROREHABILITATION THROUGH VIRTUAL ACTIVITIES CONTROLLED BY THE NEURAL DRIVE (MYOREHAB)

  • Reference: PCI2023-143405, EU-LAC-2022-123
  • Principal investigator: Andrés Úbeda
  • Research Centers: University of Alicante, Federal University of Pernambuco (UPFE), Friedrich-Alexander University Erlangen-Nürnberg (FAU), Technological University of Panama (UTP), University of Campinas (UNICAMP)
  • Duration: July 1st, 2023 – June 30th, 2026
  • Financial Entity: Spanish Ministry of Science and Innovation (Spanish funding) (EU-LAC Joint Call in STI 2022)
  • Funding: Total - 486.864 €, UA - 193.600 €

The objectives of the project are the following:

  1. To create a personalised neuromechanical model for the paralyzed hand of individuals with pathological motor conditions.
  2. To develop gamification activities to monitor neuromuscular rehabilitation of individuals with pathological motor conditions.
  3. To extract neuromechanical biomarkers associated with motor rehabilitation of individuals with pathological motor conditions.
  4. To develop and evaluate an AI-gamification intervention to deliver a personalised rehabilitation of individuals with pathological motor conditions.

Some facts in Numbers

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Rehabilitation treatments for neuromuscular disorders are variable across clinical centers and national healthcare systems and are largely dependent on the clinical experience of the practitioners. One of the main difficulties of the treatment is to monitor the progress of rehabilitation before signs of motor improvements. Misinformation may frustrate the patient and the practitioner and limit the recovery. MYOREHAB aims to provide an artificial intelligent system that can monitor and deliver a personalised closed-loop neurorehabilitation intervention of the hand based on the amount of electrical activity generated by the muscles. The project will be divided into three phases. In the validation phase, the rehabilitation technology and protocols will be implemented and tested in healthy individuals. In the clinical assessment phase, the technology will be used to extract clinical metrics useful to readapt physical therapies more efficiently and effectively. In the clinical intervention phase, conventional physical therapy will be complemented with our novel technology to enhance recovery by providing patients with more engaging and effective rehabilitation activities. This project will approach different motor conditions (stroke and spinal cord injury) across institutions in four countries (Spain, Germany, Brazil and Panama) to develop a strong long-term research network between European and Latin American researchers and to provide a transnational framework for standardised motor rehabilitation.

[1]

Optimal Image-Based Guidance of Mobile Manipulators using Direct Visual Servoing
Belmonte, A.; Ramón, J. L.; Pomares, J.; Garcia, G. J.; Jara, C.A. (2017) Electronics, Vol. 8, No. 4, pp. 374. IF: 2.412 (Q1).

Human Robotics Group - University of Alicante

Design and Control of Robots

Design and Control

of Robots

Advanced mechanical design of robotic devices and kinematic - dynamic control performance

Design and Control of Robots

Humanoid

Robots

Control algorithms for humanoid robots to perform collaborative visual and manipulative tasks

Medical Robotics

Medical

Robotics

Development of robotic solutions for assistance and rehabilitation to help physically impaired people

Design and Control of Robots

Space

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Visual servo control of satellites and robotic platforms located in the space


HURO research lines are focused in the benefit of humans and environmental impact, developing solutions for human-robot interaction and services, for helping disabled people and for spacecraft control applications.

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  • Human Robotics
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    Physics, Systems Engineering and Signal Theory Department
    University of Alicante
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