Sleep study system and method

US11596357B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11596357-B2
Application numberUS-201615780271-A
CountryUS
Kind codeB2
Filing dateNov 24, 2016
Priority dateDec 1, 2015
Publication dateMar 7, 2023
Grant dateMar 7, 2023

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A sleep study system comprises a set of sensors for monitoring physiological parameters of a subject during sleep as part of a sleep study and for monitoring the sleep stage of the subject. It is determined if intervention to the subject is needed for maintenance or repair to the sleep study system. If so, a time to perform the intervention is also derived based on the sleep stage of the subject, in particular so as to be least disruptive to the subject.

First claim

Opening claim text (preview).

The invention claimed is: 1. A sleep study system, comprising: a set of sensors for monitoring physiological parameters of a subject during sleep as part of a sleep study and for monitoring the sleep stage of the subject; a processor adapted to: determine from outputs of the set of sensors that there is sensor malfunction or sensor disconnection so that intervention to the subject is needed for maintenance or repair to the sleep study system; and determine from the outputs of the set of sensors a time to perform the intervention in dependence on the sleep stage of the subject, and provide an output relating to the time to perform the intervention. 2. A system as claimed in claim 1 , wherein the set of sensors comprises: a first set of sensors for monitoring the physiological parameters of a subject during sleep and a second set of sensors for monitoring the sleep stage, wherein the first set and the second set are mutually exclusive. 3. A system as claimed in claim 1 , wherein the set of sensors comprises: a first set of sensors for monitoring the physiological parameters of a subject during sleep and a second set of sensors for monitoring the sleep stage, wherein the second set is a sub-set of the first set. 4. A system as claimed in claim 1 , wherein the set of sensors comprises at least an EEG sensor for monitoring the sleep stage. 5. A system as claimed in claim 1 , wherein the set of sensors comprises at least a PPG sensor and wherein the sleep study system is a polysomnography system. 6. A system as claimed in claim 1 , wherein the output relating to the time to perform the intervention comprises: an output at the time to perform the intervention; and/or an output in advance of the time to perform the intervention which gives a prediction of the time. 7. A system as claimed in claim 1 , wherein the processor is further adapted to determine an expected time to the end of sleep and to take this into account when determining the time to perform the intervention. 8. A sleep study method, comprising: monitoring physiological parameters of a subject during sleep and monitoring the sleep stage of the subject using a set of sensors; determining from the outputs of the set of sensors that there is sensor malfunction or sensor disconnection so that intervention to the subject is needed for maintenance or repair to the sleep study system; and determining from the outputs of the set of sensors a time to perform the intervention in dependence on the sleep stage of the subject, and providing an output relating to the time to perform the intervention. 9. A method as claimed in claim 8 , wherein the monitoring comprises: using a first set of sensors to monitor the physiological parameters of a subject during sleep and using a second set of sensors to monitor the sleep stage, wherein the first set and the second set are mutually exclusive. 10. A method as claimed in claim 8 , wherein the monitoring comprises: using a first set of sensors to monitor the physiological parameters of a subject during sleep and using a second set of sensors to monitor the sleep stage, wherein the second set is a sub-set of the first set. 11. A method as claimed in claim 8 , wherein the monitoring comprises EEG monitoring of the sleep stage and/or PPG monitoring. 12. A method as claimed in claim 8 , wherein the sleep study is a polysomnography study. 13. A method as claimed in claim 8 , wherein providing an output relating to the time to perform the intervention comprises: providing an output at the time to perform the intervention; and/or providing an output in advance of the time to perform the intervention which gives a prediction of the time to perform the intervention. 14. A method as claimed in claim 8 , comprising determining an expected time to the end of sleep and taking this into account when determining the time to perform the intervention. 15. A non-transitory machine-readable storage medium having stored thereon instructions which, when executed on a processor, performs computer program comprises computer program code means adapted, when said program is run on a computer, to perform the method of claim 8 .

Assignees

Inventors

Classifications

  • Electroencephalography [EEG] · CPC title

  • A61B5/4812Primary

    Detecting sleep stages or cycles · CPC title

  • Heart-related electrical modalities, e.g. electrocardiography [ECG] · CPC title

  • using photoplethysmograph signals, e.g. generated by infrared radiation (A61B5/14552 takes precedence) · CPC title

  • Sleep apnoea · CPC title

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Frequently asked questions

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What does patent US11596357B2 cover?
A sleep study system comprises a set of sensors for monitoring physiological parameters of a subject during sleep as part of a sleep study and for monitoring the sleep stage of the subject. It is determined if intervention to the subject is needed for maintenance or repair to the sleep study system. If so, a time to perform the intervention is also derived based on the sleep stage of the subjec…
Who is the assignee on this patent?
Koninklijke Philips Nv
What technology area does this patent fall under?
Primary CPC classification A61B5/4812. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Mar 07 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).