An Analytical Study on the Most Important Methods and Data Sets Used to Identify People Through ECG: Review

Abdullah Najm Abed Alzaki, Mohammed Al-Tamimi
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Abstract

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 features that are not common among humans, making it a good topic for researchers in biometric systems for identifying people. In this research paper, the goal is to shed light on the most important basic concepts that are related to ECG in terms of the methods used by researchers and in terms of the most critical data sets used by researchers, and also to shed light on some previous studies that achieved a high rate of citations, and also to shed light on the most important basic concepts that make Its features are unique and intelligence methods can be used effectively.
通过心电图识别人员的最重要方法和数据集分析研究:综述
从医学和生物识别的角度来看,心电图是一个非常重要的课题,尤其是最近,研究人员开始寻找除掌纹、指纹或虹膜之外的新的生物识别方法,以替代掌纹、指纹或虹膜系统。研究人员发现,心电图具有人类不常见的独特特征,因此成为生物识别系统研究人员识别人员身份的好课题。本研究论文的目标是,从研究人员使用的方法和研究人员使用的最关键数据集的角度,阐明与心电图有关的最重要的基本概念,同时阐明以前一些获得高引用率的研究,并阐明使其特征具有独特性和可有效使用智能方法的最重要的基本概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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