Patents by Inventor Javad Hashemi

Javad Hashemi 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: 11344246
    Abstract: A method for detecting long QT syndrome in a subject comprises obtaining data corresponding to an electrocardiogram (ECG) signal of the subject, identifying a set of features in the data based on selected inflection points of the ECG signal, using the set of features to categorize segments of the ECG signal, and using the categorized segments of the ECG signal and the inflection points to classify the ECG signal as normal or as long QT syndrome. Long QT syndrome is detected when the subject's ECG signal is classified as long QT syndrome. The method may include determining whether the long QT syndrome is Type 1 or Type 2.
    Type: Grant
    Filed: December 16, 2019
    Date of Patent: May 31, 2022
    Assignees: Queen's University at Kingston, Kingston Health Sciences Centre
    Inventors: Habib Hajimolahoseini, Damian P. Redfearn, Javad Hashemi
  • Publication number: 20220125324
    Abstract: A non-invasive method of assessing a coronary stenosis or other blockage in an artery or other vasculature is based on determination of a blood flow characteristic. In some embodiments, the blood flow characteristic is a fractional flow reserve determined using a statistical correlation of experimentally determined physiological factors and anatomical factors. In other embodiments, the blood flow characteristic is a blood flow rate determined using machine learning techniques. In further embodiments, the blood flow rate determined using machine learning techniques is a physiological factor used in determining the fractional flow reserve.
    Type: Application
    Filed: February 10, 2020
    Publication date: April 28, 2022
    Inventors: ROBERT ERIC BERSON, SHAHAB GHAFGHAZI, JAVAD HASHEMI
  • Publication number: 20210272699
    Abstract: A non-invasive computer-based method and system for assessing a coronary stenosis or other blockage in an artery or other vasculature includes creating a computational model of the vasculature of interest, modeling blood flow through the vasculature, and determining the mean residence time through a given coronary artery segment, which is a direct assessment of physiological changes on the flow of blood as a result of the stenosis. In some embodiments, blood is modeled as a multi-phase fluid.
    Type: Application
    Filed: July 19, 2019
    Publication date: September 2, 2021
    Inventors: Robert E. Berson, Javad Hashemi, Shahab Ghafghazi
  • Publication number: 20200196898
    Abstract: A method for detecting long QT syndrome in a subject comprises obtaining data corresponding to an electrocardiogram (ECG) signal of the subject, identifying a set of features in the data based on selected inflection points of the ECG signal, using the set of features to categorize segments of the ECG signal, and using the categorized segments of the ECG signal and the inflection points to classify the ECG signal as normal or as long QT syndrome. Long QT syndrome is detected when the subject's ECG signal is classified as long QT syndrome. The method may include determining whether the long QT syndrome is Type 1 or Type 2.
    Type: Application
    Filed: December 16, 2019
    Publication date: June 25, 2020
    Inventors: Habib Hajimolahoseini, Damian P. Redfearn, Javad Hashemi