A Multivent System for Non-Invasive Ventilation: Solving the Problem of Ventilator Shortage During the COVID-19 Pandemic

Abstract

The COVID-19 pandemic has caused a severe global problem of ventilator shortage. Placing multiple patients on a single ventilator (ventilator sharing) or dual patient ventilation has been proposed and conducted to increase the cure efficiency for ventilated patients. However, the ventilator-sharing method needs to use the same ventilator settings for all the patients, which cannot meet the ventilation needs of different patients. Therefore, a novel multivent system for non-invasive ventilation has been proposed in this study. The close loop system consists of the proportional valve and the flow-pressure sensor can regulate the airway pressure and flow for each patient. Multiple ventilation circuits can be combined in parallel to simultaneously meet patients' ventilation demands. Meanwhile, the mathematical model of the multivent system is established and validated through experiments. The experiments for different inspired positive airway pressure (IPAP), expired positive airway pressure (EPAP), inspiratory expiratory ratio (I:E), and breath per minute (BPM) have been conducted and analyzed to test the performance of the multivent system. The results show that the multivent system can realize the biphasic positive airway pressure (BIPAP) ventilation mode in non-invasive ventilation without interfering among the three ventilation circuits, no matter the change of IPAP, EPAP, I:E, and BPM. However, pressure fluctuation exists during the ventilation process because of the exhaust valve effect, especially in EPAP control. The control accuracy and stability need to be improved. Nevertheless, the novel designed multivent system can bring innovation to the current mechanical ventilation system and solve the problem of ventilator shortage for major, new, and emerging respiratory infectious diseases in the future.

Development of Non-Invasive Ventilator for Homecare and Patient Monitoring System

“…Nevertheless, innovative designs for airflow generation and monitoring to reduce size and power consumption are still needed. Recent equipment shortages due to infectious diseases have evidenced the possibility of developing a multiplexed NIV paradigm [27]. Furthermore, the continuous monitoring of ventilatory parameters has led to the implementation of novel signal processing and machine learning techniques to enable the predictive capabilities of such equipment [28,29].…”