[HTML][HTML] Comprehensive survey of computational ECG analysis: Databases, methods and applications
E Merdjanovska, A Rashkovska - Expert Systems with Applications, 2022 - Elsevier
Electrocardiogram (ECG) recordings are indicative for the state of the human heart.
Automatic analysis of these recordings can be performed using various computational …
Automatic analysis of these recordings can be performed using various computational …
Individual identification via electrocardiogram analysis
Background During last decade the use of ECG recordings in biometric recognition studies
has increased. ECG characteristics made it suitable for subject identification: it is unique …
has increased. ECG characteristics made it suitable for subject identification: it is unique …
A survey on biometric authentication: Toward secure and privacy-preserving identification
Z Rui, Z Yan - IEEE access, 2018 - ieeexplore.ieee.org
In order to overcome the difficulty of password management and improve the usability of
authentication systems, biometric authentication has been widely studied and has attracted …
authentication systems, biometric authentication has been widely studied and has attracted …
Efficiently updating ECG-based biometric authentication based on incremental learning
Recently, the interest in biometric authentication based on electrocardiograms (ECGs) has
increased. Nevertheless, the ECG signal of a person may vary according to factors such as …
increased. Nevertheless, the ECG signal of a person may vary according to factors such as …
Assessing the reidentification risks posed by deep learning algorithms applied to ECG data
ECG (Electrocardiogram) data analysis is one of the most widely used and important tools in
cardiology diagnostics. In recent years the development of advanced deep learning …
cardiology diagnostics. In recent years the development of advanced deep learning …
[PDF][PDF] Mechanisms of Authentication toward Habitude Pattern Lock and ECG: An overview.
Smartphones contain access to user-sensitive information such as contacts, e-mails, e-
payments among others. Therefore, it is imperative that proper smartphone authentication …
payments among others. Therefore, it is imperative that proper smartphone authentication …
Increased risks of re-identification for patients posed by deep learning-based ECG identification algorithms
ECGs analysis is an important tool in cardiac diagnosis. ECG data also have the potential to
be used as a biometric source that allows precise person identification similar to the widely …
be used as a biometric source that allows precise person identification similar to the widely …
Personal identification by convolutional neural network with ECG signal
This paper proposes a novel approach for personal biometric identification with
Convolutional Neural Network (CNN) based on the electrocardiogram (ECG) signals that …
Convolutional Neural Network (CNN) based on the electrocardiogram (ECG) signals that …
Pulse ID: the case for robustness of ECG as a biometric identifier
V Chandrashekhar, P Singh, M Paralkar… - 2020 IEEE 30th …, 2020 - ieeexplore.ieee.org
Electrocardiogram (ECG) signals are known to encode unique signatures based on the
geometrical characteristics of the heart. Due to other advantages-such as continuity and …
geometrical characteristics of the heart. Due to other advantages-such as continuity and …
Finger ECG based two-phase authentication using 1D convolutional neural networks
This paper presents a study using 1D convolutional neural networks (CNNs) for ECG-based
authentication. A simple CNN structure is used to both learn the features and do the …
authentication. A simple CNN structure is used to both learn the features and do the …