Patent Document ID: 10130307
Application ID: 15371454

Base Claim:
1. An electrocardiogram (ECG) authentication method comprising: acquiring an ECG signal of a subject; filtering the ECG signal using a band pass filter; detecting a fiducial point from the ECG signal after filtering; acquiring a data segment from the filtered ECG signal based on the fiducial point; extracting a semantic feature of the acquired ECG signal using a neural network model; and authenticating the subject based on the extracted semantic feature, wherein the neural network model is trained using a candidate neural network model selected from candidate neural network models whose cross-entropy of its uppermost layer has been minimized.

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Claim 4:
4. The ECG authentication method of claim 1 , wherein the authenticating comprises: calculating a similarity between the extracted semantic feature and a registered feature; and determining an authentication of the ECG signal based on a comparison of the similarity and a threshold.