Oscar Eduardo Castrejón Mejía, Pedro C. Santana Mancilla, Silvia B. Fajardo Flores
Wearable technology for non-invasive breathing monitoring has shown positive results in clinical tests for the early detection of more severe diseases. Due to the above, this project proposes to predict respiratory diseases by applying Artificial Intelligence techniques to the data obtained from the respiratory rate to identify risks to people's health through a non-invasive wearable device. User-centered methods are being used to design a prototype informed by the needs and characteristics of the users.
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