A Digital Twin Approach of A-vent Wireless Sensor for Real-Time and Predictive Monitoring of Patient Ventilator Asynchrony

• Main Authors: Oppus, Carlos M, Santiago, Paul Ryan A., Torres, Justin Bryce M., Mercado, Neil Angelo M., Cabacungan, Paul M., Cao, Reymond P., Cabacungan, Nerissa G., Tangonan, Gregory L
• 格式: text
• 出版: Archīum Ateneo 2023
• 主題: Biomedical Sensor; Digital Twin; Healthcare; Internet of Medical Things; TinyML; Biomedical; Electrical and Computer Engineering; Engineering
• 在線閱讀: https://archium.ateneo.edu/ecce-faculty-pubs/153; https://doi.org/10.1109/ECAI58194.2023.10194042
• 機構: Ateneo De Manila University

Prior to the recent work on a low-cost Ateneo mechanical ventilator machine named A-vent, this study demonstrated a simple Digital Twin approach for a real-time monitoring system that can be useful to any mechanical ventilator unit. Previous research concentrated on A-vent design, Near Cloud data ca...