Abstract: Apparatus and methods provide compliance management tools such as for respiratory pressure therapy. In some versions, a respiratory pressure therapy system may include one or more processors, such as of a data server, configured to communicate with a computing device and/or a respiratory pressure therapy device. The respiratory pressure therapy device may be configured to deliver respiratory pressure therapy to a patient for a session. The computing device may be associated with the patient. The processor(s) may be further configured to compute a therapy quality indicator of the session from usage data relating to the session. The therapy quality indicator may be a number derived from contributions of a plurality of usage variables for the session in the usage data. The processor(s) may be further configured to present, such as by transmitting, the therapy quality indicator to the computing device. The therapy quality indicator may promote patient compliance.

Abstract: Respiratory pressure treatment apparatus include automated methodologies for controlling changes to pressure in the presence of sleep disordered breathing events. In an example apparatus, various levels of expiratory pressure relief can provide different pressure reductions for patient comfort during expiration (333-A, 333-B, 333-C). The control parameters for these levels may be automatically modified based on the detection of an open airway. Similarly, in some embodiments, the levels may be automatically adjusted based on a detection of persistent obstruction. In still further embodiments, control parameters associated with a rise time of an early portion of an inspiratory pressure treatment may be automatically adjusted upon detection of flow limitation to permit a change to more aggressive waveforms from more comfortable waveforms for the treatment of sleep disordered breathing events.

Abstract: Automated devices provide methodologies for determining sleep conditions, which may be in conjunction with treatment of sleep disordered breathing by a pressure treatment apparatus such as a continuous positive airway pressure device. Based on a measure of respiratory airflow, respiratory characteristics are extracted to detect arousal conditions, sleep stability, sleep states and/or perform sleep quality assessments. The methodologies may be implemented for data analysis by a specific purpose computer, a monitoring device that measures a respiratory airflow and/or a respiratory treatment apparatus that provides a respiratory treatment regime based on the detected conditions.

Abstract: Methods and apparatus provide automated controls for a respiratory pressure therapy device, such as a servo-ventilator. For example, a controller of a respiratory pressure therapy device may control application of pressure support ventilation therapy to an airway of a patient. The controller may control the respiratory pressure therapy device to auto-titrate an expiratory positive airway pressure (EPAP) of a pressure support ventilation therapy so as to maintain airway patency of the patient. The EPAP may be bounded below by a floor pressure limit. The controller may control the respiratory pressure therapy device to repeatedly adjust the floor pressure limit depending on events of interest during the auto-titration of the EPAP. Such methodologies may improve treatment for patients such as those suffering from sleep disordered breathing-comorbid hyperarousal disorders.

Abstract: Automated devices provide methodologies for determining sleep conditions, which may be in conjunction with treatment of sleep disordered breathing by a pressure treatment apparatus such as a continuous positive airway pressure device. Based on a measure of respiratory airflow, respiratory characteristics are extracted to detect arousal conditions, sleep stability, sleep states and/or perform sleep quality assessments. The methodologies may be implemented for data analysis by a specific purpose computer, a monitoring device that measures a respiratory airflow and/or a respiratory treatment apparatus that provides a respiratory treatment regime based on the detected conditions.

Abstract: Respiratory pressure treatment apparatus include automated methodologies for controlling changes to pressure in the presence of sleep disordered breathing events. In an example apparatus, various levels of expiratory pressure relief can provide different pressure reductions for patient comfort during expiration (333-A, 333-B, 333-C). The control parameters for these levels may be automatically modified based on the detection of an open airway. Similarly, in some embodiments, the levels may be automatically adjusted based on a detection of persistent obstruction. In still further embodiments, control parameters associated with a rise time of an early portion of an inspiratory pressure treatment may be automatically adjusted upon detection of flow limitation to permit a change to more aggressive waveforms from more comfortable waveforms for the treatment of sleep disordered breathing events.

Abstract: A system for therapy may include a mask (200) for a patient having a frame, cushion, forehead support and a light (100). The mask is connectable to a respiratory treatment apparatus, such as a flow generator, to receive breathable gas for a respiratory therapy. The light may also be connected to the power system and/or control system of the apparatus. A light may also be included in a module, such as a docking station, for a respiratory treatment apparatus. The lights may be controlled by one or more processors, and may be responsive to detected conditions, to assist with therapy. For example, the light may be turned on at a predetermined time or may be synchronized with the patient's sleep state, to assist in waking up the patient or re-setting the patient's circadian rhythm. Other components, such as sound and aroma generators of the system, may also be controlled for such therapies.

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 respiratory flow limitation detection device, which can include an airway pressure treatment generator, determines a flow limitation measure 506 based one or more shape indices for detecting partial obstruction and a measure of a patient's ventilation or respiratory duty cycle. The shape indices may be based on function(s) that ascertain the likelihood of the presence of M-shaped breathing patterns and/or chair-shaped breathing patterns. The measure of ventilation may be based on analysis of current and prior tidal volumes to detect a less than normal patient ventilation. The duty cycle measure may be a ratio of current and prior measures of inspiratory time to respiratory cycle time to detect an increase in the patient's inspiratory cycle time relative to the respiratory cycle time. A pressure setting based on the flow limitation may then be used to adjust the treatment pressure to ameliorate the patient's detected flow limitation condition.

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 respiratory flow limitation detection device, which can include an airway pressure treatment generator, determines a flow limitation measure (506) based one or more shape indices for detecting partial obstruction and a measure of a patient's ventilation or respiratory duty cycle. The shape indices may be based on function(s) that ascertain the likelihood of the presence of M-shaped breathing patterns and/or chair-shaped breathing patterns. The measure of ventilation may be based on analysis of current and prior tidal volumes to detect a less than normal patient ventilation. The duty cycle measure may be a ratio of current and prior measures of inspiratory time to respiratory cycle time to detect an increase in the patient's inspiratory cycle time relative to the respiratory cycle time. A pressure setting based on the flow limitation may then be used to adjust the treatment pressure to ameliorate the patient's detected flow limitation condition.

Abstract: Methods and apparatus provide Cheyne-Stokes respiration (“CSR”) detection based on a blood gas measurements such as oximetry. In some embodiments, a duration, such as a mean duration of contiguous periods of changing saturation or re-saturation occurring in an epoch taken from a processed oximetry signal, is determined. An occurrence of CSR may be detected from a comparison of the duration and a threshold derived to differentiate saturation changes due to CSR respiration and saturation changes due to obstructive sleep apnea. The threshold may be a discriminant function derived as a classifier by an automated training method. The discriminant function may be further implemented to characterize the epoch for CSR based on a frequency analysis of the oximetry data. Distance from the discriminant function may be utilized to generate probability values for the CSR detection.

Abstract: Systems and methods for detecting developing faults in a flow generator or ventilator during therapeutic use thereof are provided. The motor current may be measured to estimate the torque input by the motor, while the output torque from the impeller may be determined (e.g., as inferred from the motor control system model and/or by consulting a lookup table). One or more transducers may collect data useful in determining the input and output torques. A difference between the input (to the motor) torque and the output (from the impeller) torque may be calculated. The difference, optionally filtered using a low-pass filter to reduce noise, may be compared to a predetermined threshold once or over a period of time to detect gross failures and/or developing failures. Once a failure or developing failure is detected, a user may be alerted and/or the flow generator may be placed into a “service required” mode.

Abstract: Disclosed is an apparatus for treating a respiratory disorder. The apparatus comprises a pressure device, and a controller, including at least one processor, configured to control the pressure device to: supply, upon initiation of treatment, a flow of pressurised air to the airway of a patient at a treatment pressure according to a pre-sleep profile of pressure versus time, increase, upon detection of sleep onset of the patient, the treatment pressure to a predetermined therapeutic pressure according to a bridging profile of pressure versus time, and supply the flow of pressurised air to the airway of the patient at a therapeutic pressure.

Abstract: Systems and methods for detecting developing faults in a flow generator or ventilator during therapeutic use thereof are provided. The motor current may be measured to estimate the torque input by the motor, while the output torque from the impeller may be determined (e.g., as inferred from the motor control system model and/or by consulting a lookup table). One or more transducers may collect data useful in determining the input and output torques. A difference between the input (to the motor) torque and the output (from the impeller) torque may be calculated. The difference, optionally filtered using a low-pass filter to reduce noise, may be compared to a predetermined threshold once or over a period of time to detect gross failures and/or developing failures. Once a failure or developing failure is detected, a user may be alerted and/or the flow generator may be placed into a “service required” mode.

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: Respiratory pressure treatment apparatus include automated methodologies for controlling modulation of pressure during an inspiratory phase or an expiratory phase of patient respiration. The changes in pressure result in various pressure waveforms that may be suitable for treating patients suffering from respiratory insufficiency such as Chronic Obstructive Pulmonary Disease. In example embodiments, a pressure rise or pressure increase may be controlled during a period of patient expiration by implementation of linear, cubic and/or quartic functions that serve as control parameters in a processor that controls a flow generator. One or more of the functions may optionally serve as a control parameter to control the pressure increase during an expiration period and a following decrease during the period of expiration. In some embodiments, such functions may further control a decrease in pressure during a period of patient inspiration, such as a decrease prior to mid-inspiration.

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 method of a processor for detecting a presence of Cheyne-Stokes respiration from a respiration signal includes accessing data representative of a respiration signal. Data is assessed to detect apnea and/or hypopnea events. A cycle length histogram is determined based on the events and an incident of Cheyne-Stokes respiration is detected based on the cycle length histogram.

Abstract: A control system (706) provides automated control of gas washout of a patient interface, such as a mask or nasal prongs. A gas washout vent assembly (60) of the system may include a variable exhaust area such as one defined by overlapping apertures of the assembly or a conduit having a variable gas passage channel. The vent assembly may be formed by nested structures, such as conic or cylindrical members, each having an opening of the overlapping apertures. The vent assembly may be attached substantially near or included with the patient interface. An actuator of the assembly, such as a solenoid or voice coil, manipulates an aperture of the vent assembly. The actuator may be configured for control by a controller to change the exhaust area of the vent assembly based on various methodologies including, for example, sleep detection, disordered breathing event detection, rebreathing volume calculation and/or leak detection.