基于脉冲主动宽度(PAW)的心电生物识别认证

2011 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS) Pub Date : 2011-11-01 DOI:10.1109/BIOMS.2011.6052382

S. Safie, J. Soraghan, L. Petropoulakis

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引用次数: 19

摘要

提出了一种新的特征提取方法——脉冲主动宽度(PAW)，该方法应用于心电图的生物识别认证。该方法是基于脉宽调制(PWM)的概念发展起来的。模拟中使用了来自98名受试者的196张脑电图，这些脑电图来自德国物理技术(PTB)数据库。然后使用生物特征性能概况，如ROC下面积(AUR)和等错误率(EER)来评估结果。结果表明，该方法优于传统的时间特征提取技术。

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ECG biometric authentication using Pulse Active Width (PAW)

This paper presents a new feature extraction method known as Pulse Active Width (PAW) implemented on electrocardiogram (ECG) for biometric authentication. This method is developed based on the concept of Pulse Width Modulation (PWM). A total of 196 ECGs from 98 subjects, taken from the Physikalisch-Technische Bundesanstalt (PTB) database are used in the simulations. Biometric performance profile such as the area under ROC (AUR) and equal error rate (EER) are then used to evaluate the results. It is shown that the PAW method outperforms conventional temporal feature extraction techniques.

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2011 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS)

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