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Real-Time Wireless ECG Biometrics with Mobile Devices

机译:带有移动设备的实时无线ECG生物识别

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摘要

Over the last years, there has been an increasing research interest in the application of medical biometrics data for many kinds of automated recognition algorithms. The need for more security and health monitoring is increasing with new functionalities and features made available. To improve different device/application security and health monitoring we propose an stable biometric electrocardiography (ECG) recognition approach with a stable cycle detection mechanism and comparison algorithm. Unlike previous work on wearable ECG recognition, which was based from cabled non-wireless systems, this paper reports new wireless technology and techniques for which can improve the performance, by using simple and low cost approaches. Pre-processing, cycle detection and recognition analysis were applied to the ECG signal. The performance of the system was evaluated having 30 volunteers (5 sessions per volunteer) and resulted in an equal error rate (EER) less than 1%.
机译:在过去的几年中,对于用于多种自动识别算法的医学生物特征数据的应用已经有了越来越多的研究兴趣。随着新功能的推出,对更多安全性和健康状况监控的需求也在增长。为了提高不同设备/应用程序的安全性和健康监控,我们提出了一种稳定的生物特征心电图(ECG)识别方法以及稳定的周期检测机制和比较算法。与以前的基于有线非无线系统的可穿戴式ECG识别工作不同,本文报告了通过使用简单且低成本的方法可以提高性能的新型无线技术。对ECG信号进行预处理,循环检测和识别分析。评估了系统的性能,其中有30名志愿者(每名志愿者5个疗程),其平均错误率(EER)小于1%。

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