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为生物特征认证对健康人和心血管疾病患者的心电图进行归一化处理。

Normalizing electrocardiograms of both healthy persons and cardiovascular disease patients for biometric authentication.

机构信息

Shenzhen Institutes of Advanced Technology, and Key Lab for Health Informatics, Chinese Academy of Sciences, Shenzhen, Guangdong, P.R. China.

出版信息

PLoS One. 2013 Aug 20;8(8):e71523. doi: 10.1371/journal.pone.0071523. eCollection 2013.

DOI:10.1371/journal.pone.0071523
PMID:23977063
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3748040/
Abstract

Although electrocardiogram (ECG) fluctuates over time and physical activity, some of its intrinsic measurements serve well as biometric features. Considering its constant availability and difficulty in being faked, the ECG signal is becoming a promising factor for biometric authentication. The majority of the currently available algorithms only work well on healthy participants. A novel normalization and interpolation algorithm is proposed to convert an ECG signal into multiple template cycles, which are comparable between any two ECGs, no matter the sampling rates or health status. The overall accuracies reach 100% and 90.11% for healthy participants and cardiovascular disease (CVD) patients, respectively.

摘要

尽管心电图 (ECG) 随时间和身体活动而波动，但它的一些固有测量值可以很好地用作生物识别特征。考虑到心电图信号的持续可用性和难以伪造，它正成为生物认证的一个有前途的因素。目前大多数可用的算法仅在健康参与者身上效果良好。提出了一种新的归一化和插值算法，将心电图信号转换为多个模板周期，无论采样率或健康状况如何，两个心电图之间的模板周期都具有可比性。对于健康参与者和心血管疾病 (CVD) 患者，整体准确率分别达到 100%和 90.11%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7daa/3748040/3f8a4e76109c/pone.0071523.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7daa/3748040/f75d55a65b66/pone.0071523.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7daa/3748040/6fdde17157b0/pone.0071523.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7daa/3748040/47e3765ab94c/pone.0071523.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7daa/3748040/c06bea804d82/pone.0071523.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7daa/3748040/55a71cadfb61/pone.0071523.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7daa/3748040/3f8a4e76109c/pone.0071523.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7daa/3748040/f75d55a65b66/pone.0071523.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7daa/3748040/6fdde17157b0/pone.0071523.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7daa/3748040/47e3765ab94c/pone.0071523.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7daa/3748040/c06bea804d82/pone.0071523.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7daa/3748040/55a71cadfb61/pone.0071523.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7daa/3748040/3f8a4e76109c/pone.0071523.g006.jpg

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