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首页> 外文会议>2016 International Conference on Biometrics >Single pulse ECG-based small scale user authentication using guided filtering
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Single pulse ECG-based small scale user authentication using guided filtering

机译：使用引导滤波的基于单脉冲ECG的小规模用户身份验证

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摘要

Electrocardiogram (ECG) has been demonstrated as a promising biometric for user authentication or classification. However, most of the previous works on ECG biometrics dealt with more than five ECG pulses at once, which will require at least a few seconds to acquire. Moreover, many of them investigated classification systems that require ECG signals of many people for effective dimensionality reduction methods such as PCA or for powerful classifiers such as SVM. In this article, we consider fast responding, small scale authentication systems (e.g., wearable devices). We investigate the feasibility of using a single pulse ECG for authentication assuming that there is no access to others' ECG signals. Multiple ECG pulses are allowed only in the enrollment stage. We propose to use guided filter (GF) to reduce noise of a single ECG pulse using a low noise ECG template from the enrollment step. We employed simple distance measures such as Euclidean distance and dynamic time warping (DTW) for small scale authentication system and compared them with PCA based authentication system using others' ECG information. We evaluated our proposed methods with public ECGID database (89 subjects, selected 2 records per subject that were collected on the same day). Performance measures were used such as inter/intra distance ratio (IIDR), area under the curve (AUC) of the receiver operating characteristic (ROC) curve, and equal error rate (EER). GF improved the performance of simple user authentication systems with Euclidean distance and DTW substantially. The Euclidean distance with GF achieved comparable authentication performance with PCA based method using other people's ECG information (EER = 2.4%).
机译：心电图（ECG）已被证明是一种用于用户身份验证或分类的有前途的生物统计数据。但是，以前有关ECG生物识别的大多数工作都一次处理了五个以上的ECG脉冲，这至少需要几秒钟的时间。此外，他们中的许多人研究了需要许多人的ECG信号的分类系统，以实现有效的降维方法（例如PCA）或功能强大的分类器（例如SVM）。在本文中，我们考虑了快速响应的小型身份验证系统（例如可穿戴设备）。我们假设无法访问其他人的ECG信号，研究使用单脉冲ECG进行身份验证的可行性。仅在注册阶段允许多个ECG脉冲。我们建议使用引导滤波器（GF）来降低来自注册步骤的低噪声ECG模板的单个ECG脉冲的噪声。我们对小型身份验证系统采用了简单的距离度量，例如欧几里得距离和动态时间规整（DTW），并将它们与使用其他人的ECG信息的基于PCA的身份验证系统进行了比较。我们使用公开的ECGID数据库（89名受试者，在同一天收集的每个受试者选择2条记录）评估了我们提出的方法。使用了性能度量，例如内部/内部距离比率（IIDR），接收器工作特性曲线（ROC）曲线的曲线下面积（AUC）和相等错误率（EER）。 GF大大提高了具有欧几里德距离和DTW的简单用户身份验证系统的性能。使用GF的欧式距离与使用其他人的ECG信息的基于PCA的方法（EER = 2.4％）达到了可比的身份验证性能。

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