Background The electrocardiogram (ECG) is one of the most commonly used diagnostic tools in medicine and healthcare. Deep learning methods have achieved promising results …
The Electrocardiogram (ECG) arrhythmia classification has become an interesting research area for researchers and developers as it plays a vital role in early prevention and diagnosis …
S Dargan, M Kumar - Expert Systems with Applications, 2020 - Elsevier
Biometrics is the branch of science that deals with the identification and verification of an individual based on the physiological and behavioral traits. These traits or identifiers are …
M Saber, M Abotaleb - J. Artif. Intell. Metaheuristics, 2022 - researchgate.net
Artificial intelligence methods are utilized in biological signal processing to locate and extract interesting data. The examination of ECG signal characteristics is crucial for the …
Electrocardiogram (ECG) recordings are indicative for the state of the human heart. Automatic analysis of these recordings can be performed using various computational …
Electrocardiography (ECG) is widely used for arrhythmia detection nowadays. The machine learning methods with signal processing algorithms have been used for automated …
M Hammad, Y Liu, K Wang - Ieee Access, 2018 - ieeexplore.ieee.org
A multimodal biometric system integrates information from more than one biometric modality to improve the performance of each individual biometric system and make the system robust …
Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising reliable recognition in diverse applications. Commercial products using these traits for …
A Kadi, A Oubelaid, SK Towfek - Journal of Artificial Intelligence …, 2023 - americaspg.com
The electrocardiogram (ECG) is a type of biometric data that has recently attracted a lot of attention as a potentially useful biometric trait due to its high discriminatory power. However …