Design and Development of A-vent: A Low-Cost Ventilator with Cost-Effective Mobile Cloud Caching and Embedded Machine Learning

• Main Authors: Cabacungan, Paul M., Oppus, Carlos M., Cabacungan, Nerissa G., Marmadlo, John Paul A., Santiago, Paul Ryan A., Mercado, Neil Angelo M, Faustino, E. Vincent S., Tangonan, Gregory L
• Format: text
• Published: Archīum Ateneo 2021
• Subjects: training; vibrations; ventilators; buildings; prototypes; lung; machine learning; COVID-19; breathing device; hospital informatics; critical care; internet of medical things; near cloud; Analytical, Diagnostic and Therapeutic Techniques and Equipment; Artificial Intelligence and Robotics; Computer Sciences; Diagnosis; Health Information Technology; Respiratory Therapy
• Online Access: https://archium.ateneo.edu/ecce-faculty-pubs/95; https://ieeexplore.ieee.org/document/9550920
• Institution: Ateneo De Manila University

We designed and developed a low-cost mechanical ventilator prototype that meets the government's minimum viable standards. We substituted alternative off-the-shelf food-grade for the medical-grade parts and improvised some components for our prototype. We cleaned the air from the oxygen tanks a...