APNIWAVE

06/04/2022 – 31/12/2022

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Sleep apnea detection and characterization with radar and machine learning

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EIT Health RIS

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75.000,00 €

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• • • Develop a proof of concept device for radar detection of sleep apnea at home

    • Develop a framework for processing radar signals that will be used for apnea detection

    • Develop a balanced dataset of healthy and apnea suffering individuals radar recordings

    • Develop machine learning models for detecting and characterizing sleep apnea at home

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• • • Dr. Stelios A. Mitilineos

    • Dr. Charalampos Patrikakis

    • Dr. Dimitrios Uzunidis

    • Dr. Christos Ferles

    • Dr. Panagiotis Kasnesis