Patents by Inventor Ata Kaynar

Ata Kaynar 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).

  • Variable index for determining patient status
    Patent number: 11213258
    Abstract: Methods are disclosed for determining a prognosis of a test patient following or during a surgical procedure. In some embodiments, the disclosed methods comprise forming a test data vector characterizing concurrent measures of mean arterial pressure (MAP), bispectral index (BIS), and standard minimum alveolar concentration (MAC) of the test patient from sequential time intervals during the surgical procedure. A K-means clustering procedure is performed on the test data vector and a plurality of reference data vectors characterizing concurrent MAP, BIS, and MAC measures for sequential time intervals during surgical procedures from reference patients with known clinical outcome. A prognosis of one or more post-surgical outcomes of the test patient is determined based on the known surgical outcome of reference patients in the cluster including the test data vector.
    Type: Grant
    Filed: August 7, 2018
    Date of Patent: January 4, 2022
    Assignees: University of Pittsburgh—Of the Commonwealth System of Higher Education, UPMC
    Inventors: Michael Schnetz, Ata Kaynar
  • VARIABLE INDEX FOR DETERMINING PATIENT STATUS
    Publication number: 20190046122
    Abstract: Methods are disclosed for determining a prognosis of a test patient following or during a surgical procedure. In some embodiments, the disclosed methods comprise forming a test data vector characterizing concurrent measures of mean arterial pressure (MAP), bispectral index (BIS), and standard minimum alveolar concentration (MAC) of the test patient from sequential time intervals during the surgical procedure. A K-means clustering procedure is performed on the test data vector and a plurality of reference data vectors characterizing concurrent MAP, BIS, and MAC measures for sequential time intervals during surgical procedures from reference patients with known clinical outcome. A prognosis of one or more post-surgical outcomes of the test patient is determined based on the known surgical outcome of reference patients in the cluster including the test data vector.
    Type: Application
    Filed: August 7, 2018
    Publication date: February 14, 2019
    Applicants: University of Pittsburgh - Of the Commonwealth System of Higher Education, UPMC
    Inventors: Michael Schnetz, Ata Kaynar