Biometric authentication based on PCG and ECG signals: present status and future directions
Biometric authentication based on PCG and ECG signals: present status and future directions
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DOI：
10.1007/s11760-013-0593-4
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发表时间：
2014-05-01
影响因子：
2.3
通讯作者：
Abbas, S. N.
中科院分区：
文献类型：
--
作者：
Abo-Zahhad, M.;Ahmed, Sabah M.;Abbas, S. N.
由于生物医学数字信号处理的巨大进步，新的生物特征在认证系统中显示出显着的改进。近年来，心电图（ECG）和心电描记仪（PCG）被提出作为一种新的生物识别技术。本文综述了ECG和PCG信号在人体识别中的应用研究进展。此外，我们还简要讨论了研究人员在心电和心电信号的预处理、特征提取和分类中使用的最重要的技术和方法。最后，我们介绍了一些未来可以应用于本课题的考虑，如：不同技术之间的融合，在多模态生物识别认证系统中同时使用ECG和PCG信号，以及构建实时认证的原型系统。
Due to the great advances in biomedical digital signal processing, new biometric traits have showed noticeable improvements in authentication systems. Recently, the ElectroCardioGram (ECG) and the PhonoCardioGraph (PCG) have been proposed as novel biometrics. This paper aims to review the previous studies related to the usage of the ECG and PCG signals in human recognition. In addition, we discuss briefly the most important techniques and methodologies used by researchers in the preprocessing, feature extraction and classification of the ECG and PCG signals. At the end, we introduce some future considerations that can be applied in this topic such as: the fusion between different techniques previously used, use both ECG and PCG signals in a multimodal biometric authentication system and building a prototype system for real-time authentication.