An Analytical Study on the Most Important Methods and Data Sets Used to Identify People Through ECG: Review
The electrocardiogram is a topic of great importance from a medical and biometric perspective, especially recently, as researchers have begun to search for new biometric methods other than the palm print, fingerprint, or iris as alternative systems. Researchers discovered that ECG has unique featur...
Saved in:
Main Authors: | Abdullah Najm Abed Alzaki, Mohammed Al-Tamimi |
---|---|
Format: | Article |
Language: | English |
Published: |
Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)
2024-06-01
|
Series: | Journal of Applied Engineering and Technological Science |
Subjects: | |
Online Access: | https://yrpipku.com/journal/index.php/jaets/article/view/3992 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SUPPORT VECTOR MACHINE FOR HUMAN IDENTIFICATION BASED ON NON-FIDUCIAL FEATURES OF THE ECG
by: HATEM ZEHIR, et al.
Published: (2023-05-01) -
The Role of Artificial Intelligence in Providing People With Privacy: Survey
by: Salar Raees, et al.
Published: (2024-06-01) -
ECG-based transfer learning for cardiovascular disease: A scoping review
by: Sharifah Noor Masidayu Sayed Ismail, et al.
Published: (2025-12-01) -
Assessment of ECG Criteria for the Diagnosis of Right Ventricular Involvement
by: Suhaib Al-Mashari, et al.
Published: (2024-07-01) -
Deep learning-assisted arrhythmia classification using 2-D ECG spectrograms
by: Pinjala N Malleswari, et al.
Published: (2024-12-01)