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

TY - JOUR

T1 - Design and Development of A-vent: A Low-Cost Ventilator with Cost-Effective Mobile Cloud Caching and Embedded Machine Learning

AU - Cabacungan, Paul M.

AU - Oppus, Carlos M.

AU - Cabacungan, Nerissa G.

AU - Marmadlo, John Paul A.

AU - Santiago, Paul Ryan A.

AU - Mercado, Neil Angelo M

AU - Faustino, E. Vincent S.

AU - Tangonan, Gregory L

N1 - Cabacungan, P. M., Oppus, C. M., Cabacungan, N. G., Mamaradlo, J. P. A., Santiago, P. R. A., Mercado, N. A. M., Faustino, E. V. S., & Tangonan, G. L. (2021). Design and development of a-vent: A low-cost ventilator with cost-effective mobile cloud caching and embedded machine learning. 2021 IEEE Region 10 Symposium (TENSYMP), 1–8. https://doi.org/10.1109/TENSYMP52854.2021.9550920

PY - 2021/1/1

Y1 - 2021/1/1

KW - training

KW - vibrations

KW - ventilators

KW - buildings

KW - prototypes

KW - lung

KW - machine learning

KW - COVID-19

KW - breathing device

KW - hospital informatics

KW - critical care

KW - internet of medical things

KW - near cloud

UR - https://archium.ateneo.edu/ecce-faculty-pubs/95

UR - https://ieeexplore.ieee.org/document/9550920

M3 - Article

JO - Electronics, Computer, and Communications Engineering Faculty Publications

JF - Electronics, Computer, and Communications Engineering Faculty Publications

ER -