Patents by Inventor Nourhan Yahya Bayasi

Nourhan Yahya Bayasi 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).

  • Medical device and method for detecting a ventricular arrhythmia event
    Patent number: 10548499
    Abstract: A medical device and method for detecting a ventricular arrhythmia event is disclosed. The medical device includes input circuitry configured to receive an electrocardiogram (ECG) signal and processing circuitry coupled to the input circuitry that is configured to identify fiducial points within the ECG signal. Feature extraction circuitry coupled to the processing circuitry is configured to determine interval variability between the fiducial points. Machine learning circuitry is coupled to the feature extraction circuitry and is configured to detect ventricular arrhythmia based on the interval variability between the fiducial points.
    Type: Grant
    Filed: June 7, 2017
    Date of Patent: February 4, 2020
    Assignee: Khalifa University of Science and Technology
    Inventors: Nourhan Yahya Bayasi, Temesghen Tekeste Habte, Hani Hasan Mustafa Saleh, Ahsan Habib Khandoker, Mohammed Ismail Elnaggar
  • Medical device having automated ECG feature extraction
    Patent number: 10194821
    Abstract: A medical device having automated electrocardiogram (ECG) feature extraction is disclosed. The medical device includes input circuitry configured to receive an ECG signal. Processing circuitry coupled to the input circuitry is configured to identify at least one fiducial point of heartbeat signature of the ECG signal. The processing circuitry is further configured to perform substantially simultaneously both a discrete wavelet transform (DWT) and a curve length transform (CLT) to identify the at least one fiducial point.
    Type: Grant
    Filed: October 29, 2015
    Date of Patent: February 5, 2019
    Assignee: Khalifa University of Science and Technology
    Inventors: Temesghen Tekeste Habte, Nourhan Yahya Bayasi, Hani Hasan Mustafa Saleh, Ahsan Habib Khandoker, Baker Mohammad, Mahmoud Al-Qutayri, Mohammed Ismail Elnaggar
  • MEDICAL DEVICE AND METHOD FOR DETECTING A VENTRICULAR ARRHYTHMIA EVENT
    Publication number: 20170265768
    Abstract: A medical device and method for detecting a ventricular arrhythmia event is disclosed. The medical device includes input circuitry configured to receive an electrocardiogram (ECG) signal and processing circuitry coupled to the input circuitry that is configured to identify fiducial points within the ECG signal. Feature extraction circuitry coupled to the processing circuitry is configured to determine interval variability between the fiducial points. Machine learning circuitry is coupled to the feature extraction circuitry and is configured to detect ventricular arrhythmia based on the interval variability between the fiducial points.
    Type: Application
    Filed: June 7, 2017
    Publication date: September 21, 2017
    Inventors: Nourhan Yahya Bayasi, Temesghen Tekeste Habte, Hani Hasan Mustafa Saleh, Ahsan Habib Khandoker, Mohammed Ismail Elnaggar
  • Medical device for detecting a ventricular arrhythmia event
    Patent number: 9717438
    Abstract: A medical device and method for detecting a ventricular arrhythmia event is disclosed. The medical device includes input circuitry configured to receive an electrocardiogram (ECG) signal, processing circuitry coupled to the input circuitry and configured to identify at least one fiducial point of a first heartbeat signature and at least fiducial point of a second heartbeat signature of the ECG signal, and feature extraction circuitry coupled to the processing circuitry. The feature extraction circuitry is configured to determine at least one difference between the at least one fiducial point of the first heartbeat signal and the at least one fiducial point of the second heartbeat signal. Machine learning circuitry is coupled to the feature extraction circuitry and is configured to select a ventricular arrhythmia class based on the at least one difference.
    Type: Grant
    Filed: October 29, 2015
    Date of Patent: August 1, 2017
    Assignee: Khalifa University of Science and Technology
    Inventors: Nourhan Yahya Bayasi, Temesghen Tekeste Habte, Hani Hasan Mustafa Saleh, Ahsan Habib Khandoker, Mohammed Ismail Elnaggar
  • MEDICAL DEVICE FOR DETECTING A VENTRICULAR ARRHYTHMIA EVENT
    Publication number: 20160120430
    Abstract: A medical device and method for detecting a ventricular arrhythmia event is disclosed. The medical device includes input circuitry configured to receive an electrocardiogram (ECG) signal, processing circuitry coupled to the input circuitry and configured to identify at least one fiducial point of a first heartbeat signature and at least fiducial point of a second heartbeat signature of the ECG signal, and feature extraction circuitry coupled to the processing circuitry. The feature extraction circuitry is configured to determine at least one difference between the at least one fiducial point of the first heartbeat signal and the at least one fiducial point of the second heartbeat signal. Machine learning circuitry is coupled to the feature extraction circuitry and is configured to select a ventricular arrhythmia class based on the at least one difference.
    Type: Application
    Filed: October 29, 2015
    Publication date: May 5, 2016
    Inventors: Nourhan Yahya Bayasi, Temesghen Tekeste Habte, Hani Hasan Mustafa Saleh, Ahsan Habib Khandoker, Mohammed Ismail Elnaggar
  • MEDICAL DEVICE HAVING AUTOMATED ECG FEATURE EXTRACTION
    Publication number: 20160120431
    Abstract: A medical device having automated electrocardiogram (ECG) feature extraction is disclosed. The medical device includes input circuitry configured to receive an ECG signal. Processing circuitry coupled to the input circuitry is configured to identify at least one fiducial point of heartbeat signature of the ECG signal. The processing circuitry is further configured to perform substantially simultaneously both a discrete wavelet transform (DWT) and a curve length transform (CLT) to identify the at least one fiducial point.
    Type: Application
    Filed: October 29, 2015
    Publication date: May 5, 2016
    Inventors: Temesghen Tekeste Habte, Nourhan Yahya Bayasi, Hani Hasan Mustafa Saleh, Ahsan Habib Khandoker, Baker Mohammad, Mahmoud Al-Qutayri, Mohammed Ismail Elnaggar