Research Staff - Phd in Quantum Computing for Health, Deustotech

General call for Grants allocated to research projects or groups to pursue Doctoral Studies in Quantum Computing for Health.

The Industry 4.0 paradigm is applicable to health and even life in general. Therefore, Health 4.0 is the new framework in which to frame any technological solution that is sought to the challenges of society. In this new framework, artificial intelligence plays a key role combined with virtual and augmented reality, biofeedback, cybersecurity or 3D manufacturing among others. Within active and healthy aging, the role of 4.0 solutions are key to provide comprehensive services to our seniors and people with disabilities to improve their quality of life and increase their autonomy.

This position assigned to a project called “REVITAL” has as main research objective the use of health 4.0 approaches to technological solutions for neuro-telerehabilitation including biofeedback for telerehabilitation purposes applied to elderly people in both rural and urban areas. IoT, biosignal processing, artificial intelligence and biofeedback are an essential tools for this job position. In these types of problems, many hyper-parameters, constraints and objective functions are usually handled, i.e. the data used to built AI models have different data sources that are not easily interoperable as this projects will include data from multiple regions in Spain and Portugal.

The hypothesis for this research is that it is possible to predict human behavior after neuro-telerehabilitation activities, response to a treatment and effectiveness of it from the fusion of data by designing a real-time artificial intelligence neurofeedback application combined with other physiological basic biofeedback multi-sensors and located in a cloud platform with front-end and back-end. 

Then, the objectives of this research conducted under REVITAL project context will be:

a) Define the experiment with 2 different case studies.

b) Create a database with fusion of data and signals acquired in real time with a biofeedback multisensor system.

c) Design the algorithms for pre-processing and generation of features.

d) Design AI models capable of predicting human behavior and response to a treatment.

e) Design AI models capable of predicting human behavior and response to a treatment.

f) Validate the experiment with the private database.

Title of the project to be incorporated

• REVITAL ( S1/4.5/E0037), Revitalización de zonas de baja densidad de población mediante la promoción de servicios de tele-rehabilitación que impidan la deslocalización de personas mayores y creen oportunidades de empleo local (REVITAL).
• Quantum Lab (DeustoTech) at the University of Deusto.

PI and/or project manager

Begoña García-Zapirain 

Endowment of the contract

• Gross salary year 1 of contract: 25.973,10 €
• Gross salary year 2 of contract: 25.973,10 €

Funding Entity

• REVITAL  ( S1/4.5/E0037), Interreg SUDOE call 2023 
• PLAN DE IMPULSO DE ÚLTIMAS TECNOLOGÍAS DE COMPUTACIÓN CUÁNTICA

The University of Deusto supports the inclusion of people with disabilities. It therefore encourages this condition to be indicated in applications in the case of having a certificate of disability equal to or greater than 33%.