abdelghanibelgaid / nnvpp

Deep Sequence Modeling for Pressure Controlled Mechanical Ventilation.

Deep Sequence Modeling for Pressure Controlled Mechanical Ventilation

This repository contains the code for the Deep Sequence Modeling for Pressure Controlled Mechanical Ventilation paper on medRxiv.

Abstract

This paper presents a deep neural network approach to simulate the pressure of a mechanical ventilator. The traditional mechanical ventilator has a control pressure monitored by a medical practitioner, which could behave inaccurately by missing the proper pressure. This paper exploits recent studies and provides a simulator based on a deep sequence model to predict the airway pressure in the respiratory circuit during the inspiratory phase of a breath given a time series of control parameters and lung attributes. This approach demonstrates the effectiveness of neural network-based controllers in tracking pressure waveforms significantly better than the current industry standard and provides insights to build effective and robust pressure-controlled mechanical ventilators.

March 2022, Abdelghani Belgaid.