Abstract: Automated methods provide hypopnea detection for determining a hypopnea event and/or a severity of a hypopnea event. In some embodiments, a calculated short-term variance of a measured respiratory flow signal are compared to first and second proportions of a calculated long-term variance of the measured flow signal. A detection of the hypopnea may be indicated if the first measure falls below and does not exceed a range of the first and second proportions during a first time period. In some embodiments, a hypopnea severity measure is determined by automated measuring of an area bounded by first and second crossings of a short-term measure of ventilation and a proportion of a long-term measure. The detection methodologies may be implemented for data analysis by a specific purpose computer, a detection device that measures a respiratory airflow or a respiratory treatment apparatus that provides a respiratory treatment regime based on the detected hypopneas.

Abstract: A patient interface is configured to deliver a flow of pressurized breathable gas to a patient's airways. The patient interface includes a central portion with an opening configured to deliver the pressurized breathable gas to the patient's nares. A first stabilizing portion extends from the central portion and is structured to engage an outer side of a respective one of the patient's nostrils. A second stabilizing portion is opposite the first stabilizing portion and extends from the central portion. In addition, the second stabilizing surface is structured to engage an outer side of a respective one of the patient's nostrils. The central portion, the first stabilizing portion and the second stabilizing portion cooperate to form a U-shape configured to cradle the patient's nose so that the tip of the patient's nose remains exposed when the patient interface is mounted on the patient's face.

Abstract: Automated methods provide leak detection that may be implemented in a respiratory treatment apparatus. In some embodiments, the detection apparatus may automatically determine and score different types of leak events during a treatment session, including, for example, continuous mouth leak events and valve-like mouth leak events. The detection methodologies may be implemented as a data analysis of a specific purpose computer or a detection device that measures a respiratory airflow or a respiratory treatment apparatus that provides a respiratory treatment regime based on the detected leak. In some embodiments, the leak detector may determine and report a leak severity index. Such an index may combine data that quantifies different types of leak events.