Improving Chronic Nocturnal Noninvasive Ventilation: a Multimodality Approach

The aim of the data collection is to create an advanced reliable method to remotely monitor patient on chronic home non-invasive ventilation (NIV), both regarding ventilatory efficacy and patient comfort, both in the hospital and at home by assessing gas exchange, lung mechanics and the interaction between the patient and the ventilator. For this purpose, we will set-up of databank of synchronously acquired datasets of already standard care monitored parameters during NIV (transcutaneous monitoring of gas exchange; ventilator data including data on PVA), and newly non-invasively acquired data on patient effort (EMG, patient ratings) and lung (hyper)inflation (EIT), during the set-up and follow-up of standard care chronic NIV.