Resmed Sensor Technologies Limited

Resmed Pty Ltd

Faizan Javed

Steven Paul Farrugia

Klaus Henry Schindhelm

Alberto Zaffaroni

Niall Fox

Philip De Chazal

Stephen James Redmond

Michael Waclaw Colefax

Emer O'Hare

Rami Khushaba

Patrick Celka

Conor Joseph Heneghan

Conor Heneghan

A method and apparatus monitors chronic disease state of a patient. The method may include extracting, in a processor, for each of a plurality of monitoring sessions, a respiratory feature from a respiratory signal indicative of the patient's respiration during the monitoring session, the respiratory signal derived from at least one sensor; and computing, in a processor, a stability measure of the patient for a monitoring session, the stability measure representing an indication of a change point having occurred at the monitoring session in a statistical distribution of the respiratory feature.

Methods and apparatus for monitoring chronic disease

A device that may include, or communicate with, sensors such as an electrocardiogram (ECG) sensor, an accelerometer, and/or a photoplethysmograph (PPG) detects sleep-disordered breathing (SDB) events of a patient based on signals from the sensors. The device may have a processor configured to make the detection(s). In an example, the processor may access a memory with processor control instructions. The instructions may be adapted to configure the processor to carry out the detection methodology. The method may include analysing an ECG data of the patient from a signal generated by the ECG sensor, pulse oximetry data of the patient from a signal generated by the PPG, and a three-dimensional (3D) accelerometry data of the patient from a signal generated by the accelerometer to detect the SDB events. The device and methods may be used for screening, diagnosis and monitoring of respiratory disorders.

Apparatus and methods for screening, diagnosis and monitoring of respiratory disorders

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

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Sydney, Australia

Faizan Javed