Resmed Pty Ltd

Resmed Limited

Redmed Pty Ltd

Redmed Limited

Jeffrey Peter Armitstead

Dinesh Ramanan

Dion Charles Chewe Martin

David John Bassin

Chinmayee Somaiya

Peter Edward Bateman

Steven Paul Farrugia

Gregory Robert Peake

Dushyant Rao

Justin John Formica

Susan Robyn Lynch

Muditha Pradeep Dantanarayana

Jamie Graeme Wehbeh

Ronald James Huby

Liam Holley

Zhuo Ran Tang

David Brent Sears

Aleksandr S Nagorny

Damien Julian Mazzone

James William Charles Vandyke

Roger Mervyn Lloyd Foote

Mark David Buckley

Natalie Zotelo

Michael Waclaw Colefax

William Mcinnes Somerville

Lance Steven Cohen

Gerard Michael Rummery

Lee James Veliss

Robert Edward Henry

Nathan John Row

Alicia Kristianne Wells

Gordon Joseph Malouf

Dmitri Anatolievich Doudkine

Glenn Richards

Joseph M Sampietro

Chun Yui Lau

Paul Andrew Dickens

Jane Zona McHenry

Pallavi Gosain

Joe Sampietro

Joon-Pil Hwang

A control system provides automated control of gas washout of a patient interface, such as a mask or nasal prongs. A gas washout vent assembly 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.

Vent arrangement for respiratory mask

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.

Methods and devices with leak detection

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.

Respiratory pressure therapy system

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.

Discrimination of cheyne stokes breathing patterns

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.

Method for detecting and discriminating breathing patterns from respiratory signals

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.

Method and apparatus for improved flow limitation detection of obstructive sleep apnea

A respiratory flow limitation detection device, which can include an airway pressure treatment generator, determines a flow limitation measurebased 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.

Automated control for detection of flow limitation

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.

Methods and apparatus for treatment of respiratory disorders

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.

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.

Detection of sleep condition

Discrimination of cheyne-stokes breathing patterns

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.

Method and apparatus for treating hyperarousal disorders

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.

Methods and devices for the detection of hypopnoea

Growing community of inventors

North Sydney, Australia

Jeffrey Peter Armitstead