The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 17, 2015

Filed:

Jun. 01, 2010
Applicants:

Elke Naujokat, Eindhoven, NL;

Hui Zhang, Murrysville, PA (US);

Sandrine Magali Laure Devot, Aachen, DE;

William Arthur Hoos, Aspinwall, PA (US);

Antonius Arnoldus Johannes Rademaker, Geldrop, NL;

Inventors:

Elke Naujokat, Eindhoven, NL;

Hui Zhang, Murrysville, PA (US);

Sandrine Magali Laure Devot, Aachen, DE;

William Arthur Hoos, Aspinwall, PA (US);

Antonius Arnoldus Johannes Rademaker, Geldrop, NL;

Assignee:

Koninklijke Philips N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61M 21/02 (2006.01); A61B 5/11 (2006.01); A61B 5/0402 (2006.01); A61B 5/113 (2006.01); A61B 5/00 (2006.01); G06F 19/00 (2011.01); G06Q 50/22 (2012.01); G09B 19/00 (2006.01);
U.S. Cl.
CPC ...
A61B 5/1118 (2013.01); A61B 5/0402 (2013.01); A61B 5/1135 (2013.01); A61B 5/4809 (2013.01); A61B 5/4812 (2013.01); A61B 5/6804 (2013.01); A61B 5/6887 (2013.01); G06F 19/345 (2013.01); G06Q 50/22 (2013.01); G09B 19/00 (2013.01); A61B 5/4815 (2013.01); A61B 5/7267 (2013.01);
Abstract

The disclosed system and method provide for the automatic assessment of the presence/severity of the sleep problem and its exact nature. The assessment is based on qualitative information about sleep patterns, insomnia-related factors and daytime consequences, as well as quantitative information about sleep patterns measured by a sensor. By combining the different sources of information (subjective as well as objective data), the diagnosis gives more insight into the nature of the sleep problem and is therefore more accurate. Furthermore, the disclosed system may be used to select specific components of the system that are medically relevant to the individual and therefore create a personalized program. The system teaches a selection of self-management skills that could help the individual to better cope with sleep disturbances and target those factors that maintain the problem or make it worse by a particular individual.


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