Patents by Inventor David TREIMAN

David TREIMAN 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).

  • Reliable seizure detection with a parallelizable, multi-trajectory estimate of lyapunov exponents
    Patent number: 11712193
    Abstract: Systems and methods for tracking EEG data and providing enhanced seizure detection and prediction are disclosed. The systems and methods use input sensors for receiving and collecting data from a plurality of EEG channels in association with a subject and processing said data to calculate and average Lyapunov exponents for a composite EEG data set. The systems and methods convert the average Lyapunov exponents into graphical representations that are displayed against a time axis. The graphical output adjusts in real-time according to the input data obtained from EEG channels. The systems and methods utilize pattern recognition to output alarms based upon input data and recommend diagnoses related to seizures.
    Type: Grant
    Filed: August 17, 2017
    Date of Patent: August 1, 2023
    Assignees: Arizona Board of Regents on behalf of Arizona State University, Dignity Health
    Inventors: Ashfaque Shafique, David Treiman, Konstantinos Tsakalis
  • RELIABLE SEIZURE DETECTION WITH A PARALLELIZABLE, MULTI-TRAJECTORY ESTIMATE OF LYAPUNOV EXPONENTS
    Publication number: 20190209072
    Abstract: Systems and methods for tracking EEG data and providing enhanced seizure detection and prediction are disclosed. The systems and methods use input sensors for receiving and collecting data from a plurality of EEG channels in association with a subject and processing said data to calculate and average Lyapunov exponents for a composite EEG data set. The systems and methods convert the average Lyapunov exponents into graphical representations that are displayed against a time axis. The graphical output adjusts in real-time according to the input data obtained from EEG channels. The systems and methods utilize pattern recognition to output alarms based upon input data and recommend diagnoses related to seizures.
    Type: Application
    Filed: August 17, 2017
    Publication date: July 11, 2019
    Inventors: Ashfaque SHAFIQUE, David TREIMAN, Konstantinos TSAKALIS