脉冲主动变换(PAT):一种应用于心电生物识别认证的非可逆变换

S. Safie, H. Nurfazira, Z. Azavitra, J. Soraghan, L. Petropoulakis
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引用次数: 14

摘要

本文提出了一种新的变换技术——脉冲有源变换。PAT使用一系列谐波相关的周期三角波形将信号分解成有限的脉冲有源特征集。这些特征将信号的信息纳入脉冲有源域,并随后为某些期望的应用进行处理。PAT是不可逆的,从而保证了原始信号源的完全安全。本文对心电信号进行了验证,并将其用于生物识别认证。对112例肺结核患者进行了新转化技术的实验。本文的研究表明,与传统的基于特征的特征提取方法相比,新的变换具有更优越的性能,并且增加了避免原始心电恢复的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pulse Active Transform (PAT): A non-invertible transformation with application to ECG biometric authentication
This paper presents a new transformation technique called the Pulse Active transform (PAT). The PAT uses a series of harmonically related periodic triangular waveforms to decompose a signal into a finite set of pulse active features. These features incorporate the signal's information in the pulse active domain, and which are subsequently processed for some desired application. PAT is non-invertible thus ensuring complete security of the original signal source. In this paper PAT is demonstrated on an ECG signal and used for biometric authentication. The new transformation technique is tested on 112 PTB subjects. It is shown in this paper that the new transformation has a superior performance compared to the conventional characteristic based feature extraction methods with additional security to avoid recovery of the original ECG.
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