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and testing solutions in a simulated clinical environment, ensuring the applicability of the developed models in clinical practice.; 4) Participate in the analysis of results and benchmark the system
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algorithms for analyzing electrocardiography, electromyography and movement signals, identifying characteristics and recognizing patterns in everyday activities. Testing and validation of methods developed in
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under realistic conditions.; • Implement and experimentally test the system in a real environment, with hardware integration and validation campaigns in parabolic flights.; • Evaluate system performance
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pattern recognition Integration into a mobile application for the user Testing and validation of the developed software in a controlled laboratory environment Scientific article for publication in a journal