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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
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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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algorithms to combine information on cardiovascular activity obtained from heart sound signals, electrocardiogram, and photoplethysmography. Investigate the inclusion of prior knowledge about the application
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. REQUIRED PROFILE: Admission requirements: The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors
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Education Institutions. Preference factors: Previous experience in robotics, space technology, control and navigation, free-flying robots and gas propulsion systems. Minimum requirements: Programming