An observational study in Chronic Respiratory Failure, sponsored by University of Oslo. Recruiting at 1 site in Norway. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-02-24.
Sponsored by University of Oslo · Observational
Study of the applicability of machine learning tools in detecting inspiratory leakage in longterm non-invasive ventilation. The study was conducted in two stages. Firstly the ML model was trained on both bench model created scenarios and then ten patients. And secondly the success of the model was assessed in a proof of concept pilot study of ten patients.
Patients undergoing treatment with Lumis 100/150 for type 2 chronic resiratory failure
Exclusion Criteria:
Correct interpretation of inspiratory leak by machine learning tool
Measured in comparison with god standard method of polygraphy
Time frame: one year
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University of Oslo