Automated mechanical ventilator design and analysis using neural network
Summary This study describes the design, simulation, and validation of an automated mechanical ventilator system using neural networks to optimize critical ventilation parameters. The ventilator specifically addresses clinical conditions such as pneumonia and chronic obstructive pulmonary disease (COPD). By employing feed-forward neural networks (FFNN) to regulate parameters like tidal volume, respiratory rate, and inspiration-to-expiration (I:E) […]
Automated mechanical ventilator design and analysis using neural network Read Post »