Resmed Sensor Technologies Limited

The Provost, Fellows, Foundation Scholars & the Other Members of Board, of the College of the Holy & Undiv. Trinity of Queen Elizabeth, Near Dublin

Paul Phillips

Conor Joseph Heneghan

Gareth McDarby

Redmond Shouldice

Stephen McMahon

Alberto Zaffaroni

Damien O'Rourke

Luke Gahan

Marc Lavelle

David Mulligan

Matthew Norton

Colin Lawlor

Trevor Murray

Emer O'Hare

Dominic Southgate

Brian Christopher O'Connell

Ramesh Babu Padamati

Martin Clowry

Mark Doyle

Padraig Martin McAuliffe

Dermot Joseph Sullivan

James Joseph Doyle

Emer O'hare

Gareth Mcdarby

Padraig Martin Mcauliffe

A processing system includes methods to promote sleep. The system may include a monitor such as a non-contact motion sensor from which sleep information may be determined. User sleep information, such as sleep stages, hypnograms, sleep scores, mind recharge scores and body scores, may be recorded, evaluated and/or displayed for a user. The system may further monitor ambient and/or environmental conditions corresponding to sleep sessions. Sleep advice may be generated based on the sleep information, user queries and/or environmental conditions from one or more sleep sessions. Communicated sleep advice may include content to promote good sleep habits and/or detect risky sleep conditions. In some versions of the system, any one or more of a bedside unitsensor module, a smart processing device, such as a smart phone or smart device, and network servers may be implemented to perform the methodologies of the system.

Methods and systems for sleep management

Methods and apparatus monitor health by detection of sleep stage. For example, a sleep stage monitor () may access sensor data signals related to bodily movement and/or respiration movements. At least a portion of the detected signals may be analyzed to calculate respiration variability. The respiration variability may include one or more of variability of respiration rate and variability of respiration amplitude. A processor may then determine a sleep stage based on one or more of respiration variability and bodily movement, such as with a combination of both. The determination of sleep stages may distinguish between deep sleep and other stages of sleep, or may differentiate between deep sleep, light sleep and REM sleep. The bodily movement and respiration movement signals may be derived from one or more sensors, such as non-invasive sensor (e.g., a non-contact radio-frequency motion sensor or a pressure sensitive mattress).

System and method for determining sleep stage

The invention provides a sensor assembly embeddable within an oral appliance comprising a sensing means; and a data processing means coupled to the sensing means for processing data obtained by the sensing means; wherein the sensing means and the data processing means are sealed within a deformable layer.

Sensor for an oral appliance

Methods and apparatus monitor health by detection of sleep stage. For example, a sleep stage monitor may access sensor data signals related to bodily movement and respiration movements. At least a portion of the detected signals may be analyzed to calculate respiration variability. The respiration variability may include variability of respiration rate or variability of respiration amplitude. A processor may then determine a sleep stage based on a combination bodily movement and respiration variability. The determination of sleep stages may distinguish between deep sleep and other stages of sleep, or may differentiate between deep sleep, light sleep and REM sleep. The bodily movement and respiration movement signals may be derived from one or more sensors, such as non-invasive sensor (e.g., a non-contact radio-frequency motion sensor or a pressure sensitive mattress).

Monitoring device

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Donaghadee, United Kingdom

Paul Phillips