Secure Telemedicine: Biometrics for Remote and Continuous Patient Verification
Secure Telemedicine: Biometrics for Remote and Continuous Patient Verification
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DOI：
10.1155/2012/924791
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发表时间：
2012-01-01
影响因子：
2
通讯作者：
Hatzinakos, Dimitrios
中科院分区：
文献类型：
--
作者：
Agrafioti, Foteini;Bui, Franci M.;Hatzinakos, Dimitrios
遥感领域的技术进步促进了远程医疗行业的大幅增长。虽然医疗保健从业者现在可以远程监控患者的健康状况并远程提供服务，但缺乏实际存在会带来安全风险，主要涉及相关各方的身份。患者在家中使用的传感装置可以收集生命信号并将其传输到医疗中心，尽管缺乏对发射器身份的可靠验证，医疗中心仍会做出治疗决定。从本质上讲，远程监控增加了医疗保健领域身份欺诈的风险。本文提出了一种适用于连续监控环境的生物识别解决方案。该系统使用心电图 (ECG) 信号来提取独特的特征，从而区分用户。在安全方面，心电图属于医学生物识别的范畴，这是一个相对年轻但前景广阔的生物识别安全解决方案领域。在这项工作中，作者研究了家庭远程监护的特殊特性，这些特性可能会影响心电图信号并危及安全。在设计稳健的生物识别系统时考虑了心理变化对心电图波形的影响，该系统可以根据心脏信号识别用户，无论身体或情绪如何变化。
The technological advancements in the field of remote sensing have resulted in substantial growth of the telemedicine industry. While health care practitioners may now monitor their patients' well-being from a distance and deliver their services remotely, the lack of physical presence introduces security risks, primarily with regard to the identity of the involved parties. The sensing apparatus, that a patient may employ at home, collects and transmits vital signals to medical centres which respond with treatment decisions despite the lack of solid authentication of the transmitter's identity. In essence, remote monitoring increases the risks of identity fraud in health care. This paper proposes a biometric identification solution suitable for continuous monitoring environments. The system uses the electrocardiogram (ECG) signal in order to extract unique characteristics which allow to discriminate users. In security, ECG falls under the category of medical biometrics, a relatively young but promising field of biometric security solutions. In this work, the authors investigate the idiosyncratic properties of home telemonitoring that may affect the ECG signal and compromise security. The effects of psychological changes on the ECG waveform are taken into consideration for the design of a robust biometric system that can identify users based on cardiac signals despite physical or emotional variations.