Advanced manufacturing, smart textiles and digitalisation
BIOMETRIC RECOGNITION AND ANALYSIS OF INTEGRATED NEURAL SIGNALS WITH MACHINE LEARNING
BRAIN-ML
Motivation
The BRAIN-ML project came about in response to the need for non-invasive, continuous monitoring of brain and neuromotor activity to personalise rehabilitation and evaluate function. It integrates EEG analysis into biomedical platforms to process large volumes of data and generate objective metrics that complement clinical practice. Its textile-electronic approach improves ergonomics and usability, ensuring stable electrode placement, enhancing signal quality and acceptance by users and professionals. Using machine learning, it incorporates portable electronics and communication protocols for capture and processing in real environments. In collaboration with Blautic Designs, S.L., it will facilitate transfer to the clinical-business sphere and open up applications such as cognitive monitoring, neurofeedback and the early detection of disorders.
Objectives
The core objective of this experiment is to expand the functionality of the machine learning platform by incorporating the analysis of encephalographic (EEG) signal patterns. The integration of EEG will allow new areas of application to be addressed, such as the analysis of brain activity in cognitive tasks, the monitoring of states of attention and relaxation, and the early detection of neurological abnormalities. In this experiment, a pilot test will be carried out in a real environment to validate Artificial Intelligence models that identify patterns in neuromotor signals to optimise biomechanical rehabilitation processes. The aim is to personalise and improve the effectiveness of therapies for patients with neuromuscular injuries, promoting faster recovery times tailored to individual needs.
Expected results
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Functional prototype of the textile accessory with integrated electrodes and acquisition electronics ready for laboratory and pilot testing.
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Documented workflow for the capture, pre-processing and annotation of EEG signals synchronised with motion sensors (scripts and technical documentation).
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Set of machine learning models trained and packaged as reproducible artefacts for evaluation and integration into the platform.
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Validation report covering the tests carried out, the repeatability of the results, and technical and operational recommendations.
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Exploitation and transfer materials (exploitation plan, documentation for technology transfer, and dissemination activities).
Grant number: INREIA/2024/110
Programme: Grants for Artificial Intelligence projects and Data Spaces within the framework of the PRTR.
Period of execution: January 2025 – March 2026
Status: In progress
Entity: Conselleria Innovación
Project funded by the European Union. Government of Spain. Gva Next. Valencian Regional Government.
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R&D AREAS
New high-performance functionalised materials
Circular economy and sustainability
Advanced manufacturing, smart textiles and digitalisation
High value-added solutions for strategic markets
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NEWS
AITEX is present at the Babykid FIMI fair at Feria Valencia from January 26 to 28, presenting tests and certifications for children’s products.
AITEX has attended the Cosmetorium fair in Barcelona once again on October to present its new products for the cosmetic sector.
AITEX has hosted the LIFE POLITEX workshop entitled “Closing the textile polyester cycle: challenges and opportunities”, based on promoting sustainable solutions for the management and recycling of textile materials.