Patents by Inventor Diane BOIVIN

Diane BOIVIN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 9189739
    Abstract: Systems and methods are provided for predicting a circadian state of an individual. The methods comprise: providing a model representative of the response of the circadian state to light stimulus, the model comprising at least one model variable representative of a probability distribution function (PDF) of a phase offset of the circadian state of the individual; and using the model to estimate an updated PDF of the phase offset, wherein using the model to estimate the updated PDF of the phase offset comprises performing a Bayesian estimation process commencing with an initial PDF of the phase offset and iterating toward the updated PDF of the phase offset.
    Type: Grant
    Filed: June 17, 2013
    Date of Patent: November 17, 2015
    Assignee: Pulsar Informatics, Inc.
    Inventors: Christopher Grey Mott, Guy DuMont, Diane Boivin, Daniel Joseph Mollicone
  • Publication number: 20130282646
    Abstract: Systems and methods are provided for predicting a circadian state of an individual. The methods comprise: providing a model representative of the response of the circadian state to light stimulus, the model comprising at least one model variable representative of a probability distribution function (PDF) of a phase offset of the circadian state of the individual; and using the model to estimate an updated PDF of the phase offset, wherein using the model to estimate the updated PDF of the phase offset comprises performing a Bayesian estimation process commencing with an initial PDF of the phase offset and iterating toward the updated PDF of the phase offset.
    Type: Application
    Filed: June 17, 2013
    Publication date: October 24, 2013
    Inventors: Christopher Grey Mott, Guy DuMont, Diane Boivin, Daniel Joseph Mollicone
  • Patent number: 8484153
    Abstract: Systems and methods are provided for predicting a circadian state of an individual. The methods comprise: providing a model representative of the response of the circadian state to light stimulus, the model comprising at least one model variable representative of a probability distribution function (PDF) of a phase offset of the circadian state of the individual; and using the model to estimate an updated PDF of the phase offset, wherein using the model to estimate the updated PDF of the phase offset comprises performing a Bayesian estimation process commencing with an initial PDF of the phase offset and iterating toward the updated PDF of the phase offset.
    Type: Grant
    Filed: November 27, 2009
    Date of Patent: July 9, 2013
    Assignees: Pulsar Informatics, Inc., The Royal Institute for the Advancement of Learning/McGill University, The University of British Columbia
    Inventors: Christopher Mott, Guy Dumont, Diane Boivin, Daniel Mollicone
  • Publication number: 20100138379
    Abstract: Systems and methods are provided for predicting a circadian state of an individual. The methods comprise: providing a model representative of the response of the circadian state to light stimulus, the model comprising at least one model variable representative of a probability distribution function (PDF) of a phase offset of the circadian state of the individual; and using the model to estimate an updated PDF of the phase offset, wherein using the model to estimate the updated PDF of the phase offset comprises performing a Bayesian estimation process commencing with an initial PDF of the phase offset and iterating toward the updated PDF of the phase offset.
    Type: Application
    Filed: November 27, 2009
    Publication date: June 3, 2010
    Inventors: Christopher MOTT, Guy DUMONT, Diane BOIVIN, Daniel MOLLICONE