An evaluation of the generalisability and applicability of the PhysioNet electrocardiogram (ECG) repository as test cases for ECG-based biometrics

IF 1.4 3区 经济学 Q3 BUSINESS, FINANCE
M. Tantawi, K. Revett, M. Tolba, A. Salem
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引用次数: 15

Abstract

The PhysioNet is a very popular internet-based ECG repository which provides open access to a variety of ECG datasets. The data is collected from subjects within a medical framework, with the intention of acquiring clinically relevant information from patients. Because of the convenience afforded by the internet, literally thousands of ECG records can be downloaded and used for non-medical purposes, such as biometrics. The purpose of this study was to evaluate the applicability and/or suitability of the PhysioNet ECG data for deployment within biometrics. The needs and mindset of a clinician may be quite different from that of a security engineer. This paper therefore attempts to provide a preliminary examination of the PhysioNet ECG data repository along these dimensions, emphasising the need to create methodologies in the context of biometrics that not only take these considerations into account, but integrates them into the biometric methodology.
对PhysioNet心电图(ECG)存储库作为基于ECG的生物识别测试用例的通用性和适用性的评估
PhysioNet是一个非常流行的基于互联网的心电存储库,它提供了对各种心电数据集的开放访问。数据是从医学框架内的受试者中收集的,目的是从患者那里获得临床相关信息。由于互联网提供的便利,成千上万的心电图记录可以下载并用于非医疗目的,如生物识别。本研究的目的是评估PhysioNet心电图数据在生物识别技术中部署的适用性和/或适用性。临床医生的需求和心态可能与安全工程师大不相同。因此,本文试图沿着这些维度对PhysioNet ECG数据存储库进行初步检查,强调需要在生物识别的背景下创建方法,不仅要考虑到这些考虑因素,而且要将它们集成到生物识别方法中。
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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CiteScore
2.30
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