公开(公告)号：US10194821B2

公开(公告)日：2019-02-05

申请号：US14926554

申请日：2015-10-29

Applicant: KHALIFA UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Temesghen Tekeste Habte ,  Nourhan Yahya Bayasi ,  Hani Hasan Mustafa Saleh ,  Ahsan Habib Khandoker ,  Baker Mohammad ,  Mahmoud Al-Qutayri ,  Mohammed Ismail Elnaggar

IPC: A61B5/0456 ,  A61B5/0468 ,  A61B5/0428 ,  A61B5/0245 ,  A61B5/00 ,  A61B5/04 ,  A61B5/0464 ,  A61B5/024 ,  A61B5/0402

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.

公开(公告)号：US10548499B2

公开(公告)日：2020-02-04

申请号：US15616069

申请日：2017-06-07

Applicant: Khalifa University of Science and Technology

Inventor： Nourhan Yahya Bayasi ,  Temesghen Tekeste Habte ,  Hani Hasan Mustafa Saleh ,  Ahsan Habib Khandoker ,  Mohammed Ismail Elnaggar

IPC: A61B5/0464 ,  A61B5/0468 ,  A61B5/0428 ,  A61B5/0245 ,  A61B5/00 ,  A61B5/04 ,  A61B5/024 ,  A61B5/0402 ,  A61B5/0456

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.

公开(公告)号：US09717438B2

公开(公告)日：2017-08-01

申请号：US14926483

申请日：2015-10-29

Applicant: KHALIFA UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Nourhan Yahya Bayasi ,  Temesghen Tekeste Habte ,  Hani Hasan Mustafa Saleh ,  Ahsan Habib Khandoker ,  Mohammed Ismail Elnaggar

IPC: A61B5/0464 ,  A61B5/0468 ,  A61B5/0428 ,  A61B5/0245 ,  A61B5/00 ,  A61B5/04 ,  A61B5/024 ,  A61B5/0456 ,  A61B5/0402

CPC classification number: A61B5/0468 ,  A61B5/02405 ,  A61B5/0245 ,  A61B5/04012 ,  A61B5/0402 ,  A61B5/0428 ,  A61B5/0456 ,  A61B5/0464 ,  A61B5/7264

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.