Dec 18, 2017 · In this paper, we introduce the usage of deep learning techniques, specifically convolutional networks, for extracting useful representation for ...
Abstract— Since the beginning of the new millennium, the elec- trocardiogram (ECG) has been studied as a biometric trait for.
In this paper, we introduce the usage of deep learning techniques, specifically convolutional networks, for extracting useful representation for Heart ...
This paper investigates the learning of feature representations for heart biometrics through two sources: on the raw heartbeat signal and on the heartbeat ...
It has been proven with numerous studies that by analyzing ECG signals from different persons, it is possible to identify them, with acceptable accuracy. In ...
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Abstract—Since the beginning of the new millennium, the electrocardiogram (ECG) has been studied as a biometric trait.
Learning deep off-the-person heart biometrics representations. EJ da Silva Luz, GJP Moreira, LS Oliveira, WR Schwartz, D Menotti. IEEE Transactions on ...
Learning Deep. Off-the-person Heart Biometrics Representations. IEEE Transactions on Information. Forensics and Security, 13 (5): 1258-1270. Mani, A., and ...
Jan 25, 2023 · This study utilizes a user authentication system based on electrocardiography (ECG) signals using deep learning algorithms.
Feb 23, 2024 · ECG signal also known as heartprint is an emerging biometric modality employed to improve security. This modality has the inherent liveness ...