System and methods for automatically identifying a breath variability event from patient respiratory data associated with a mechanical ventilator

A method for identifying breath variability events from patient respiratory data obtained during the operation of a mechanical ventilator;

• the method comprising the steps of:
• during operation of the ventilator system while configured according to a predetermined prescription, continuously monitoring and saving patient respiratory data from one or more sensors;
• extracting predetermined treatment parameters from the prescription, and using the treatment parameters to determine an epoch and a frequency band;
• extracting from the patient respiratory data an input signal;
• extracting from the input signal, at least one signal parameter;
• determining a Spectral Energy (Es) of the input signal based on the at least one signal parameter, epoch and a frequency band;
• resampling the Spectral Energy;
• determining a Spectral Entropy (SE) based on the resampled Spectral Energy (Es);
• and
• displaying the Spectral Entropy in graphical form to visually identify one or more breath variability events over the epoch, based on the determined Spectral Entropy.