Resmed Sensor Technologies Limited

University College Dublin

Conor Heneghan

Alberto Zaffaroni

Philip De Chazal

Steven Paul Farrugia

Redmond Shouldice

Stephen McMahon

Klaus Henry Schindhelm

Conor M Hanley

Niall Fox

Michael Wren

Stephen James Redmond

Michael Waclaw Colefax

Faizan Javed

Kieran Conway

Emer O'Hare

Trevor Murray

Rami Khushaba

Spencer Terry Wood

Patrick Celka

Gareth Mcdarby

Chern-Pin Chua

Paul Phillips

Emer O'HARE

An apparatus, system, and method are disclosed for monitoring the motion, breathing, heart rate of humans in a convenient and low-cost fashion, and for deriving and displaying useful measurements of cardiorespiratory performance from the measured signals. The motion, breathing, and heart rate signals are obtained through a processing applied to a raw signal obtained in a non-contact fashion, typically using a radio-frequency sensor. Processing into separate cardiac and respiratory components is described. The heart rate can be determined by using either spectral or time-domain processing. The respiratory rate can be calculated using spectral analysis. The sensor, processing, and display can be incorporated in a single device which can be worn or held close to the body while exercising, or alternately placed in a fixed piece of exercise equipment at some distance form the body, and may also be integrated with other sensors, such as position locators.

System and method for monitoring cardiorespiratory parameters

An apparatus, system, and method for monitoring a person suffering from a chronic medical condition predicts and assesses physiological changes which could affect the care of that subject. Examples of such chronic diseases include (but are not limited to) heart failure, chronic obstructive pulmonary disease, asthma, and diabetes. Monitoring includes measurements of respiratory movements, which can then be analyzed for evidence of changes in respiratory rate, or for events such as hypopneas, apneas and periodic breathing. Monitoring may be augmented by the measurement of nocturnal heart rate in conjunction with respiratory monitoring. Additional physiological measurements can also be taken such as subjective symptom data, blood pressure, blood oxygen levels, and various molecular markers. Embodiments for detection of respiratory patterns and heart rate are disclosed, together with exemplar implementations of decision processes based on these measurements.

Apparatus, system and method for chronic disease monitoring

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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Dublin, Ireland

Conor Heneghan