Patents by Inventor Maureen E. Edgecombe

Maureen E. Edgecombe 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: 10896756
    Abstract: Methods, systems, and techniques for facilitating cognitive assessment are provided. Example embodiments provide a Cognitive Assessment Facilitator System CAFS, which facilitates the gathering and prediction of cognitive assessment of individuals using machine learning and sensors placed in the home of a resident. These predictive assessments can then be used by a clinician to further diagnose and/or provide health intervention. In one embodiment, the CAFS comprises a sensor input module, a machine learning engine (or algorithm as part of another component), a CAAB tool, and activity curve change engine (activity tools), and a reporting module 308. These components cooperate to process and transform smart home based sensor data into activity performance features and statistical activity features which are then processing through a machine learning engine to predict clinical cognitive assessment values.
    Type: Grant
    Filed: April 21, 2016
    Date of Patent: January 19, 2021
    Assignee: Washington State University
    Inventors: Diane J. Cook, Maureen E. Edgecombe, Prafulla N. Dawadi
  • Publication number: 20160314255
    Abstract: Methods, systems, and techniques for facilitating cognitive assessment are provided. Example embodiments provide a Cognitive Assessment Facilitator System CAFS, which facilitates the gathering and prediction of cognitive assessment of individuals using machine learning and sensors placed in the home of a resident. These predictive assessments can then be used by a clinician to further diagnose and/or provide health intervention. In one embodiment, the CAFS comprises a sensor input module, a machine learning engine (or algorithm as part of another component), a CAAB tool, and activity curve change engine (activity tools), and a reporting module 308. These components cooperate to process and transform smart home based sensor data into activity performance features and statistical activity features which are then processing through a machine learning engine to predict clinical cognitive assessment values.
    Type: Application
    Filed: April 21, 2016
    Publication date: October 27, 2016
    Inventors: Diane J. Cook, Maureen E. Edgecombe, Prafulla N. Dawadi