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sensors, which will perform measurements, for example, of electromyography and inertial data Objective and efficient feature identification and recognition of personalized patterns for integration
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) videos in the context of diagnosing sleep disorders, particularly REM sleep behavior disorder (RBD). The activities to be performed will include:; 1) Training and validation of machine learning models
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of algorithms for analyzing physiological and biomechanical signals acquired by devices with integrated sensors, which will perform electrocardiography, electromyography and movement measurements, among others
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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