Resmed Limited

Resmed Sensor Technologies Limited

Michael Waclaw Colefax

Susan Robyn Lynch

Mark David Buckley

Robert Andrew Levings

Rajwant Sodhi

Jamie Graeme Wehbeh

Steven Paul Farrugia

Dion Charles Chewe Martin

Gregory Robert Peake

Jeffrey Peter Armitstead

Klaus Henry Schindhelm

Dinesh Ramanan

Alberto Zaffaroni

Niall Fox

Philip De Chazal

Stephen James Redmond

Natalie Zotelo

Faizan Javed

Emer O'Hare

Rami Khushaba

Patrick Celka

Conor Joseph Heneghan

Rehana Nathwani

Timothy Semen

Conor Heneghan

Jason Connell

Cheryl Kazimer

Colin Bradley Kennedy

Ryan Eric Belbin

Timothy S Hofler

A communication system for operation of respiratory pressure therapy devices for treating respiratory disorders of a plurality of patients includes one or more servers configured to communicate with the plurality of respiratory pressure therapy devices. The server(s) are configured to receive communications relating to respiratory therapy delivered to a patient via at least one respiratory pressure therapy device of the plurality of respiratory pressure therapy devices. The server(s) are configured to transmit one or more responsive communications for control of the at least one respiratory pressure device according to a selected action to improve the respiratory therapy. The selected action includes transmitting, from the server(s), a control command to the at least one respiratory pressure therapy device. The responsive communication(s) are generated in response to a compliance prediction that is a score indicating a probability that the patient will be compliant with a predetermined compliance rule.

Self-optimising respiratory therapy system

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

Disclosed is a cardio-pulmonary health monitoring apparatus. The apparatus comprises a contactless motion sensor configured to generate one or more movement signals representing bodily movement of a patient during a monitoring session; a processor; and a memory storing program instructions configured to cause the processor to carry out a method of processing the one or more movement signals. The method comprises extracting one or more sleep disordered breathing features from the one or more movement signals, and predicting whether a clinical event is likely to occur during a predetermined prediction horizon based on the one or more sleep disordered breathing features.

Method and apparatus for monitoring cardio-pulmonary health

Methods and Systems implement patient management. In some cases, a patient management systemmay include one or more respiratory pressure therapy devices to deliver respiratory pressure therapy to patients, and generate therapy data relating to a therapy session for a patient. The patient management system may include a data server communicating with the therapy device(s). The data server may compute, from therapy data, therapy summary data for the session, the summary data may include one or more statistics summarising therapy data. The patient management system may include a therapy management server communicating with the data server. The therapy management server may apply one or more rules to the summary data, update or generate one or more workflow groups of patients, each workflow group corresponding to a rule, depending on results of the respective rule applications; and/or serve a graphical layout representing one or more workflow groups.

Patient management system

Methods or systems () are implemented for treatment with or monitoring use of respiratory pressure therapy device(s). The device may be for a respiratory disorder. A processor, such as a processor of a server communicating with the therapy device, may analyse data relating to respiratory therapy delivered by the device. The processor may generate data in the processor representing a prediction, such as compliance prediction(s), about progress of therapy based on the analysis. The processor may select an action to improve therapy based on data representing the prediction. The processor may take or prompt selected action to improve the therapy. In some cases, a processor may analyse usage data concerning a period of days with a therapy device and generate compliance prediction indicators based on the analysis. The indicators indicate whether compliance will be likely. The processor may recommend engagement action to improve compliance based on evaluation of the indicators.

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Sydney, Australia

Michael Waclaw Colefax