In recent years there has been growing interest in monitoring non-invasive mechanical ventilation, extending beyond physiopathological knowledge of interactions between the patient and the ventilator. Evidence is beginning to appear in literature that associates the quality of non-invasive home ventilation with survival 1,6. There is a wide spectrum of technical possibilities for acquiring data about ventilation quality, ranging from the simple practice of pulse-oximetry to obtaining user information by means of downloading data stored in the ventilators’ internal memory (built in software) as well as more complex polygraphy or polysomnography configurations from sleep laboratories. In reality these constitute the gold standard for monitoring 2 but are sometimes difficult to conduct in clinical practice, because they use up so many resources. Frequently this means that they are only used for patients if readings obtained using simpler techniques are unable to provide sufficient information.
