计算机工程2017，Vol.43Issue(3)：213-219,224,8.DOI:10.3969/j.issn.1000-3428.2017.03.036
利用分析和外观模型的混合心电图人体识别方法
Mixed Electrocardiogram Human Identification Method Using Analysis Model and Appearance Model
摘要
Abstract
In order to improve the sensitivity of Electrocardiogram(ECG) identification to noise and changes of signal,and to prioritize heartbeat features,a hybrid ECG human identification method is proposed.Heartbeat and appearance properties are jointly analyzed in the proposed method,in which Fisher linear discriminant analysis method is used to obtain the main attributes from these properties and the heartbeat features are calculated in Fisher space.The feature in time domain is used to calculate ECG characteristics.After the heartbeat feature in time domain is deducted by a series of heartbeat,the morphological characteristics are obtained by standardizing and scaling ECG signals.By maximizing the rate between the between-class individual hash and in-class individual hash,the most discriminative features are selected.Experimental results show that the recognition accuracy of the proposed method in a large database of healthy individuals is 99.24%.When the body is in the case of heart disorders,the Equal Error Rate(EER) is only 0.76%.In a mixed state,EER is 1.31%.So the robustness is well verified.关键词
心电图/人体识别/心跳分析/时域特征/形态学特征/等错误率Key words
Electrocardiogram(ECG)/human identification/heartbeat analysis/feature in time domain/morphological characteristic/Equal Error Rate(EER)分类
信息技术与安全科学引用本文复制引用
谢杨晓洁,赵凌..利用分析和外观模型的混合心电图人体识别方法[J].计算机工程,2017,43(3):213-219,224,8.基金项目
国家自然科学基金青年项目"复杂医疗保健数据的统计推断和过程控制"(11301364) （11301364）
四川省教育厅科研重点项目(13sa0137). （13sa0137）
