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Spira: system for early-detection of respiratory insufficiency by voice audio analysis


The aim of this study is to develop a tool that can provide an early detection for people with respiratory insufficiency due to COVID-19, using speech data. To this end, we will collect audio records from infected people as well as normal people, in order to explore differences associated with O2-saturation and respiratory rate that allow the two groups to be distinguished.The proposed automatic classification tool will be based on artificial intelligence, signal processing and machine learning techniques, and will initially serve to facilitate the screening of patients who need to seek medical and hospital assistance. In a second step, the tool can help telemedicine systems to monitor patients continuously, allowing the monitoring of the evolution of inpatients. (AU)

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