ECG-based biometrics using a deep autoencoder for feature learning-an empirical study on transferability
Biometric identification is the task of recognizing an individual using biological or behavioral
traits and, recently, electrocardiogram has emerged as a prominent trait. In addition, deep …
traits and, recently, electrocardiogram has emerged as a prominent trait. In addition, deep …
ECG-based authentication systems: a comprehensive and systematic review
S Asadianfam, MJ Talebi, E Nikougoftar - Multimedia Tools and …, 2024 - Springer
In recent years, security systems based on biometric features have become a promising
solution to identify humans, and it is preferred over traditional methods working based on …
solution to identify humans, and it is preferred over traditional methods working based on …
ECG-based human identification system by temporal-amplitude combined feature vectors
ECG data are biosignals with unique characteristics that can be obtained regardless of time
and space constraints. Owing to these advantages, they have been widely used for not only …
and space constraints. Owing to these advantages, they have been widely used for not only …
Exploiting second-order dissimilarity representations for hierarchical clustering and visualization
H Aidos - Data Mining and Knowledge Discovery, 2022 - Springer
The representation of objects is crucial for the learning process, often having a large impact
on the application performance. The dissimilarity space (DS) is one of such representations …
on the application performance. The dissimilarity space (DS) is one of such representations …