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METHOD OF DETECTING ABNORMALITIES IN ECG SIGNALS

  • US 20190059763A1
  • Filed: 08/25/2017
  • Published: 02/28/2019
  • Est. Priority Date: 08/25/2017
  • Status: Active Grant
First Claim
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1. A method of detecting abnormalities in electrocardiogram (ECG) signals, the method comprising:

  • receiving a set of ECG signals from an ECG device;

    amplifying only the peaks of at least some of the set of ECG signals to produce ECG beat markings from which a heart rate is derivable to detect an irregular rhythm between at least two ECG beats;

    extracting a single ECG beat from the set of ECG signals from the ECG device by using said ECG beat markings;

    feeding the extracted single ECG beat into a first neural network;

    producing, at the first neural network, a compact representation of the extracted single ECG signal so as to generate a feature extraction output; and

    using, at a second neural network, the feature extraction output from the first neural network to generate a score associated with the abnormalities in the ECG signals.

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