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AI Biotech/Diagnostics: Cardio
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Patent US10426364
Issued 2019-10-01
Automatic Method To Delineate Or Categorize An Electrocardiogram
A method for computerizing delineation and/or multi-label classification of an ECG signal, includes: applying a neural network to the ECG whereby labelling the ECG, and optionally displaying the labels according to time, optionally with the ECG signal.
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- 1. A method for computerizing delineation and multi-label classification of an ECG signal, the ECG signal represented by a multiplicity of ECG data points, the method comprising applying a convolutional neural network to the ECG signal, wherein the convolutional neural network:
reads each one of the multiplicity of ECG data points; analyzes temporally each one of the multiplicity of ECG data points, each one of the multiplicity of ECG data points corresponding to a time point; assigns to each one of the multiplicity of EGG data points a score for at least two of a P-wave, a QRS complex, a T-wave, or no wave; and allocates to each time point an absence, a single, or a multiplicity of corresponding waves based on the scores assigned to each one of the multiplicity of ECG data points.
- 8. A programmed routine for use with a computer for delineating and classifying an ECG signal, the ECG signal represented by a multiplicity of ECG data points, the programmed routine comprising a convolutional neural network that:
reads each one of the multiplicity of ECG data points; analyzes temporally each one of the multiplicity of ECG data points, each one of the multiplicity of ECG data points corresponding to a time point; assigns to each one of the multiplicity of ECG data points a score for at least two of a P-wave, a QRS complex, a T-wave, or no wave; and allocates to each time point an absence, a single, or a multiplicity of corresponding waves based on the scores assigned to each one of the multiplicity of ECG data points.
