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: A compression garment for implementing circulatory-related disorder therapy includes a plurality of chambers. In some implementations, the compression garment further includes air supply tubes and tube guides for maintaining the air supply tubes on a predetermined pathway in or on the garment. In some implementations, the compression garment further includes three or more layers forming the macro-chambers and air supply channels for supplying air to the macro-chamber. In some implementations, the compression garment further includes a flexible foot chamber support assembly that allows bending around a periphery of a user's foot. In some implementations, the compression garment further includes chamber valves and a main air supply valve pneumatically connected to a central air supply line and configured to control the supply of pressurized air to at least two of the chamber valves.

Abstract: A compression garment for circulatory-related disorder therapy includes a skin contacting layer, a second layer coupled to the skin contacting layer, and connectors disposed on the second layer. The skin contacting layer and the second layer form one or more macro-chambers. Each macro-chamber is partitioned into a plurality of micro-chambers. Each of the micro-chambers is in direct fluid communication with at least one other of the micro-chambers. Each of the connectors is configured to supply pressurized air directly into at least a corresponding one of the macro-chambers such that the pressurized air is delivered to at least one of the micro-chambers within the macro-chamber. The coupling of the skin contacting layer and the second layer is along a layer attachment profile that defines the macro-chambers and the micro-chambers. At least one of the micro-chambers is linked to another of the micro-chambers by way of a plurality of openings.

Abstract: Apparatus and methods provide system characterisation such as for operation of respiratory treatment apparatus. Such a characterisation may include a determination of a patient interface type and/or an event such as a leak or blocked vent. For a characterisation, one or more controller(s) or processor(s) may be configured to make a determination of parameters that best fit a template curve, such as a quadratic function, to a plurality of measurements, such as data points. Each data point may include a pressure value, and a flow rate value at the pressure value. Parameters from the function may then be applied, such as with a data structure to characterize the system, such as with an identification of the patient interface type from the parameters. In some versions, parameter(s) of operation of the apparatus may be adjusted based on the characterisation, such as by using the parameters of the template.

Abstract: Methods and apparatus infer or indicate sleep stage(s) of a patient from a respiratory flow rate signal of the patient. The method may include applying a plurality of detection pathways to a signal representing a respiratory flow rate of the patient, wherein each detection pathway is configured to generate start events and end events indicating start times and end times of episodes respectively of a corresponding sleep stage, wherein each start event and each end event has a priority; and combining the start events and end events based on their priorities to produce an indication of the sleep stage of the patient. The apparatus may include a sensor configured to generate a signal representing a property of a flow of air within a patient interface; and a processor configured to implement a method of inferring a sleep stage of the patient from the signal.

Abstract: Methods and apparatus infer or indicate sleep stage(s) of a patient from a respiratory flow rate signal of the patient. The method may include applying a plurality of detection pathways to a signal representing a respiratory flow rate of the patient, wherein each detection pathway is configured to generate start events and end events indicating start times and end times of episodes respectively of a corresponding sleep stage, wherein each start event and each end event has a priority; and combining the start events and end events based on their priorities to produce an indication of the sleep stage of the patient. The apparatus may include a sensor configured to generate a signal representing a property of a flow of air within a patient interface; and a processor configured to implement a method of inferring a sleep stage of the patient from the signal.

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: Methods and apparatus for treating a respiratory disorder, m one aspect, include an apparatus that delivers backup breaths at a sustained timed backup rate that is a function of the patient's spontaneous respiratory rate. Other aspects include apparatus that delivers backup breaths at a rate that gradually increases from a spontaneous backup rate to a sustained timed backup rate or, alternatively, apparatus that oscillates a treatment pressure in antiphase with the patient's spontaneous respiratory efforts when a measure indicative of ventilation is greater than a threshold. Other aspects include apparatus configured to treat Cheyne-Stokes respiration by computing the treatment pressure so as to bring a measure indicative of ventilation of the patient towards a target ventilation that is dependent on the measure indicative of ventilation or, alternatively, by periodically elevating the treatment pressure to a high level for a short time.

Abstract: Methods and apparatus for treating a respiratory disorder, in one aspect, include an apparatus that delivers backup breaths at a sustained timed backup rate that is a function of the patient's spontaneous respiratory rate. Other aspects include apparatus that delivers backup breaths at a rate that gradually increases from a spontaneous backup rate to a sustained timed backup rate or, alternatively, apparatus that oscillates a treatment pressure in antiphase with the patient's spontaneous respiratory efforts when a measure indicative of ventilation is greater than a threshold. Other aspects include apparatus configured to treat Cheyne-Stokes respiration by computing the treatment pressure so as to bring a measure indicative of ventilation of the patient towards a target ventilation that is dependent on the measure indicative of ventilation or, alternatively, by periodically elevating the treatment pressure to a high level for a short time.

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.

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: 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.

Abstract: A garment for providing circulatory-related disorder therapy includes a skin contacting layer, a backing layer, and a coupling. The backing layer is coupled to the skin contacting layer such that the skin contacting layer and the backing layer form a plurality of macro-chambers. A first one of the plurality of macro-chambers is partitioned into a plurality of micro-chambers. Each of the plurality of micro-chambers is in direct fluid communication with at least one other of the plurality of micro-chambers. The coupling is coupled to the backing layer and is configured to supply pressurized air directly into the first macro-chamber such that the pressurized air is delivered to a first one of the plurality of micro-chambers of the first macro-chamber.

Abstract: Systems or apparatus may be configured with method(s) for hyperarousal disorder such as for determining settings that control respiratory therapy for slowing a patients breathing. They may be configured to determine an interim target breathing rate less than a current spontaneous rate. They may be configured to derive target inspiratory time and expiratory times based on the interim target breathing rate. They may be configured to compute, with first function(s), a parameter set for generating a variable treatment pressure waveform based on target inspiratory/expiratory times. They may be configured to determine pressure settings by generating the waveform with the computed parameter set and second function(s). They may be configured to reduce the interim target breathing rate in response to a subsequent spontaneous breathing rate slowing down toward the interim target rate. They may be configured to generate feedback such as graphics/sound to provide information to promote slowing of breathing.

Abstract: A method for a device detects periodic breathing in a patient. The method may include receiving a series of event intervals bounded by apnea or hypopnea events detected in respiration of the patient, and processing, upon closure of an event interval, the event interval to determine a character of the event interval, such as any of: probably a periodic breathing cycle; probably not a periodic breathing cycle; and uninformative. The method may further include determining whether to change a current periodic breathing state that indicates whether a periodic breathing episode is in progress, based on a history of event interval characters that is long compared to the typical length of a periodic breathing cycle real-time detection of periodic breathing.

Abstract: A garment for providing circulatory-related disorder therapy includes a skin contacting layer, a backing layer, and a coupling. The backing layer is coupled to the skin contacting layer such that the skin contacting layer and the backing layer form a plurality of macro-chambers. A first one of the plurality of macro-chambers is partitioned into a plurality of micro-chambers. Each of the plurality of micro-chambers is in direct fluid communication with at least one other of the plurality of micro-chambers. The coupling is coupled to the backing layer and is configured to supply pressurized air directly into the first macro-chamber such that the pressurized air is delivered to a first one of the plurality of micro-chambers of the first macro-chamber.

Abstract: Methods and apparatus infer or indicate sleep stage(s) of a patient from a respiratory flow rate signal events of the patient. The method may include applying a plurality of detection pathways to a signal representing a respiratory flow rate of the patient, wherein each detection pathway is configured to generate start events and end events indicating start times and end times of episodes respectively of a corresponding sleep stage, wherein each start event and each end event has a priority; and combining the start events and end events based on their priorities to produce an indication of the sleep stage of the patient. The apparatus may include a sensor configured to generate a signal representing a property of a flow of air within a patient interface; and a processor configured to implement a method of inferring a sleep stage of the patient from the signal.

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: 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.