Novel fiducial and non-fiducial approaches to electrocardiogram-based biometric systems
Novel fiducial and non-fiducial approaches to electrocardiogram-based biometric systems
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DOI：
10.1049/iet-bmt.2012.0055
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发表时间：
2013-06-01
期刊：
影响因子：
2
通讯作者：
Figueiredo, Mario
中科院分区：
文献类型：
--
作者：
Coutinho, David Pereira;Silva, Hugo;Figueiredo, Mario
心电图（ECG）是一种非侵入性和广泛使用的心脏电生理评估技术。虽然ECG传统上仅用于功能诊断和评估，但电生理传感的几项进展已使可靠的信号采集设备变得可用，特别适用于非卧床条件，从而扩大了其应用范围。特别是，最近的工作已经显示了ECG作为生物特征的潜力，用于人类识别和认证。这项研究为基于ECG的实时生物识别系统奠定了基础。作者描述了一个实验装置和新的基准和非基准方法的评估，包括数据采集，信号处理，特征提取和分析以及分类方法，显示了ECG作为实时生物特征的适用性。性能评估是在来自51名健康对照个体（公开可用的基准数据集）的临床级ECG记录以及从26名健康志愿者收集的数据中进行的，这些志愿者在没有任何姿势或运动限制的情况下进行计算机活动，从而模拟常规计算机使用场景。
The electrocardiogram (ECG) is a non-invasive and widely used technique for cardiac electrophysiological assessment. Although the ECG has traditionally only been used for functional diagnostic and evaluation, several advances in electrophysiological sensing have made available robust signal acquisition devices, particularly suited for ambulatory conditions, widening its range of applications. In particular, recent work has shown the potential of the ECG as a biometric trait, both for human identification and authentication. This study sets the ground for an ECG-based real-time biometric system. The authors describe an experimental setup and the evaluation of new fiducial and non-fiducial approaches, including data acquisition, signal processing, feature extraction and analysis and classification methodologies, showing the applicability of the ECG as a real-time biometric. Performance evaluation was done in clinical-grade ECG recording from 51 healthy control individuals (of a publicly available benchmark dataset) as well as on data collected from 26 healthy volunteers performing computer activities without any posture or motion limitations, thus simulating a regular computer usage scenario.