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 Cheyne-Stokes (CS) diagnosis system classifies periods of CS-like breathing by examining a signal indicative of a respiratory parameter. For example, nasal flow data is processed to classify it as unambiguously CS breathing or nearly so and to display the classification Processing may detect and display: apnoeas, hypopnoeas, flow-limitation and snore. The signal may be split into equal length epochs and event features are extracted. Statistics are applied to these primary feature(s) to produce secondary feature(s) representing the entire epoch. Each secondary feature is grouped with other feature(s) extracted from the entire epoch rather than from the epoch events. This final group of features is the epoch pattern. The epoch pattern is classified to produce a probability for possible event classes (e.g., Cheyne-Stokes breathing, OSA, etc.). The epoch is assigned to the class with the highest probability, which may both be reported as an indication of disease state.

Abstract: The disclosure provides methods for diagnosis or prediction of the likelihood of a subject experiencing obstructive sleep apnea, determined at least in part by measuring the degree of tongue fat in a subject using, e.g., thermal imaging, THz imaging or other multispectral imaging.

Abstract: In a respiratory apparatus for treatment of sleep apnea and other disorders associated with an obstruction of a patient's airway and which uses an airflow signal, an obstruction index is generated which detects the flattening of the inspiratory portion of the airflow. The flattening index serves as an obstruction index used to differentiate normal and obstructed breathing. The obstruction index is based upon comparison of values of airflow in different sectors of the inspiratory peak of the wave function and is particularly suitable for distinguishing M shaped or square shaped respiratory patters patterns indicative of partially obstructed airways.

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: A method includes receiving respiration data associated with respiration of a user from a respiration monitoring device that is positioned inside the user adjacent to a thoracic cavity of the user. The method also includes determining, based at least in part on the respiration data associated with respiration of the user, a respiration signal for the user. The method also includes determining, based at least in part on the respiration signal, a predicted start time for a future inhalation of the user. The method also includes causing a stimulation device to provide electrical stimulation to one or more branches of a nerve of the user at the predicted start time, the stimulation device being positioned inside the user adjacent to a tongue of the user and being physically separated from the respiration monitoring device.

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: A respiratory flow limitation detection device, which can include an airway pressure treatment generator, determines a flow limitation measure 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: 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 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: In a respiratory apparatus for treatment of sleep apnea and other disorders associated with an obstruction of a patient's airway and which uses an airflow signal, an obstruction index is generated which detects the flattening of the inspiratory portion of the airflow. The flattening index serves as an obstruction index used to differentiate normal and obstructed breathing. The obstruction index is based upon comparison of values of airflow in different sectors of the inspiratory peak of the wave function and is particularly suitable for distinguishing M shaped or square shaped respiratory patters indicative of partially obstructed airways.

Abstract: A Cheyne-Stokes (CS) diagnosis system classifies periods of CS-like breathing by examining a signal indicative of a respiratory parameter. For example, nasal flow data is processed to classify it as unambiguously CS breathing or nearly so and to display the classification Processing may detect and display: apnoeas, hypopnoeas, flow-limitation and snore. The signal may be split into equal length epochs and event features are extracted. Statistics are applied to these primary feature(s) to produce secondary feature(s) representing the entire epoch. Each secondary feature is grouped with other feature(s) extracted from the entire epoch rather than from the epoch events. This final group of features is the epoch pattern. The epoch pattern is classified to produce a probability for possible event classes (e.g., Cheyne-Stokes breathing, OSA, etc.). The epoch is assigned to the class with the highest probability, which may both be reported as an indication of disease state.

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: In a respiratory apparatus for treatment of sleep apnea and other disorders associated with an obstruction of a patient's airway and which uses an airflow signal, an obstruction index is generated which detects the flattening of the inspiratory portion of the airflow. The flattening index serves as an obstruction index used to differentiate normal and obstructed breathing. The obstruction index is based upon comparison of values of airflow in different sectors of the inspiratory peak of the wave function and is particularly suitable for distinguishing M shaped or square shaped respiratory patterns indicative of partially obstructed airways.

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.