应用于动态心电监测的自动身份识别系统

心电信号由于其易于监测和重要的临床应用价值成为物联网获取健康信息的重要内容。人体心电信号虽然是非稳态时变信号,但现有研究表明其可以作为一种新型的生物识别特征用于对识别分辨率要求不高的应用场合。本项目开发了一套应用于动态心电监测的自动用户身份识别系统。该系统侧重在手机端利用接收到的心电信号实现自动用户身份识别,并在远程接入服务器时基于身份识别结果将心电数据存入对应的用户数据库。所开发的身份识别系统可加载于现有加密模块之上,从而实现保密加认证的双重安全需求。

An Automatic Identification System with Applications in Holter Monitoring

Electrocardiogram （ECG） is among the most important sources in Internet of Things for healthcare applications due to its ease-of-measurement and important clinical value. Though ECG signal is non-stationary and time-varying, existing studies show that it can be used as a new characteristics for biometric recognition in situations with a less-demanding resolution. This work has developped an ECG-based automatic identification system with applications in Holter monitoring, where a mobile phone is used as the access point to a remote server. Upon receiving ECG signals, the mobile phone can automatically identify the user and then access the remote server for correct data storage. The developed identification system can be built on top of the existing cryptographic modules, which thus helps to increase the security level of the whole system.