The proposed ECG biometric method achieved EER of 0.76% and 0.71% in recognizing people suffering from cardiac arrhythmia and people of good health, ...
The ECG is a biometric that can provide user authenticity with high accuracy. It can be used for various scenarios, from user identification at shops and banks.
Jan 25, 2023 · This study utilizes a user authentication system based on electrocardiography (ECG) signals using deep learning algorithms.
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Feb 23, 2024 · Moreover, good quality ECG signals can be easily be captured from fingers. All these make it a more acceptable and secured biometric modality.
In this paper, we propose a biometric recognition method based on an ECG feature vector that uses a pooling layer to accept variable-length beat signals. The ...
Apr 8, 2022 · In this study, we perform extensive analysis and comparison of different scenarios in ECG biometric recognition. Both verification and ...
Feb 13, 2023 · ECGs have shown unique patterns to distinguish between different subjects and present important advantages compared to other biometric ...
To ensure accurate identification of ECG signals, this paper proposes an approach which involves mixed feature sampling, sparse representation, and recognition.
Electrocardiographic (ECG) signals have been successfully used to perform biometric recognition in a wide range of applications.
In this paper, a method is proposed to use the single heartbeat ECG signal for biometric recognition of a person with the help of deep machine learning ...