Innovative Wearable Technology to Mitigate and Monitor Tremors
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Develop a structural health monitoring (SHM) system for wind turbine components using multiphysics data and AI algorithms (ML and DL)
Implementing a biomechanical model of the arm considering different excitation spectra that simulate the different tremor levels.
Determining the type of control, selecting the correct failure criteria, and finding a good compromise between the reliability and cost of the metamaterials.
Designing the metamaterials considering different aspects and investigating the ideal topology in tremor control.
A test prototype of the tremor control and monitoring technology will be produced based on human limb characteristics, elevating the technology level.
This proposal has an interdisciplinary nature, and its execution will form an interdisciplinary research group whose objective is to work on the project and optimization of smart materials and metamaterials for application in bioengineering.
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This research is part of project No. 444595/2024-4 funded by the National Council for Scientific and Technological Development-CNPq, call CNPq/MCTI/FNDCT Nº 22/2024 - Programa Conhecimento Brasil - Apoio a Projetos em Rede com Pesquisadores Brasileiros no Exterior.