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algorithms have been used to solve complex problems. However, these types of strategies, although popular, are heterogeneous or generated according to the needs of the case study. This has generated multiple
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[Crockett2022], minimizing artifacts and improving clinical reliability. Meta-learning algorithms [Andrychowicz2016] will be implemented to optimize reconstruction efficiency for real-time bedside applications
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movements for enhanced training of machine-learning algorithms. 1.4. Interdisciplinarity aspects The theme of research of project FITNESS lies at the intersection of medical science (rehabilitation field) and
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for feedback utilization, focusing on adaptive coding rate adjustments based on SINR and uplink metrics, ensuring efficient and responsive system performance. Machine learning algorithms will be designed