Patents by Inventor Mohamed H. Bakri

Mohamed H. Bakri 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: 9636033
    Abstract: Systems and methods are provided for predicting the onset of postoperative atrial fibrillation (AF) from electrocardiogram (ECG) data representing a patient. A signal processing component determines parameters representing the activity of the heart of the patient from the ECG data. A feature extraction component calculates a plurality of features useful in predicting postoperative AF from the determined parameters. A classification component determines an AF index for the patient from the calculated plurality of features. The AF index represents the likelihood that the patient will experience AF.
    Type: Grant
    Filed: March 14, 2012
    Date of Patent: May 2, 2017
    Assignee: The Cleveland Clinic Foundation
    Inventors: C. Allen Bashour, Bala Gopakumaran Nair, Mirela Visinescu, Meng Xu, Liang Li, Mohamed H. Bakri
  • Publication number: 20120173470
    Abstract: Systems and methods are provided for predicting the onset of postoperative atrial fibrillation (AF) from electrocardiogram (ECG) data representing a patient. A signal processing component determines parameters representing the activity of the heart of the patient from the ECG data. A feature extraction component calculates a plurality of features useful in predicting postoperative AF from the determined parameters. A classification component determines an AF index for the patient from the calculated plurality of features. The AF index represents the likelihood that the patient will experience AF.
    Type: Application
    Filed: March 14, 2012
    Publication date: July 5, 2012
    Inventors: C. Allen Bashour, Bala Gopakumaran Nair, Mirela Visinescu, Meng Xu, Liang Li, Mohamed H. Bakri
  • Patent number: 8155735
    Abstract: Systems and methods are provided for predicting the onset of postoperative atrial fibrillation (AF) from electrocardiogram (ECG) data representing a patient. A signal processing component determines parameters representing the activity of the heart of the patient from the ECG data. A feature extraction component calculates a plurality of features useful in predicting postoperative AF from the determined parameters. A classification component determines an AF index for the patient from the calculated plurality of features. The AF index represents the likelihood that the patient will experience AF.
    Type: Grant
    Filed: September 14, 2007
    Date of Patent: April 10, 2012
    Assignee: The Cleveland Clinic Foundation
    Inventors: C. Allen Bashour, Bala Gopakumaran Nair, Mirela Visinescu, Meng Xu, Liang Li, Mohamed H. Bakri
  • Publication number: 20080167567
    Abstract: Systems and methods are provided for predicting the onset of postoperative atrial fibrillation (AF) from electrocardiogram (ECG) data representing a patient. A signal processing component determines parameters representing the activity of the heart of the patient from the ECG data. A feature extraction component calculates a plurality of features useful in predicting postoperative AF from the determined parameters. A classification component determines an AF index for the patient from the calculated plurality of features. The AF index represents the likelihood that the patient will experience AF.
    Type: Application
    Filed: September 14, 2007
    Publication date: July 10, 2008
    Inventors: C. Allen Bashour, Bala Gopakumaran Nair, Mirela Visinescu, Meng Xu, Liang Li, Mohamed H. Bakri