Download PDFOpen PDF in browserEvaluation of Electrocardiogram Biometric Verification Models Based on Short Enrollment Time on Medical and Wearable RecordersEasyChair Preprint 67516 pages•Date: October 3, 2021AbstractBiometric authentication is nowadays widely used in a multitude of scenarios. Several studies have been conducted on electrocardiogram (ECG) for subject identification or verification among the various modalities. However, none have considered a typical implementation with a mobile device and the necessity for a fast-training model with limited recording time for the signal. This study tackles this issue by exploring various classification models on short recordings and evaluating the performance varying the sample length and the training set size. We run our tests on two public datasets collected from wearable and medical devices and propose a pipeline for ECG authentication with limited data required for competitive usage across applications. Keyphrases: Biometric Authentication, ECG Biometrics, performance assessment, wearable devices
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