Communication Technologies Group, Aragón Institute of Engineering Research, University of Zaragoza, Edif. Ada Byron, C/María de Luna 3, 50018 Zaragoza, Spain.
J Biomed Inform. 2013 Aug;46(4):653-64. doi: 10.1016/j.jbi.2013.05.002. Epub 2013 May 23.
This paper proposes an encoding system for 1D biomedical signals that allows embedding metadata and provides security and privacy. The design is based on the analysis of requirements for secure and efficient storage, transmission and access to medical tests in e-health environment. This approach uses the 1D SPIHT algorithm to compress 1D biomedical signals with clinical quality, metadata embedding in the compressed domain to avoid extra distortion, digital signature to implement security and attribute-level encryption to support Role-Based Access Control. The implementation has been extensively tested using standard electrocardiogram and electroencephalogram databases (MIT-BIH Arrhythmia, MIT-BIH Compression and SCCN-EEG), demonstrating high embedding capacity (e.g. 3 KB in resting ECGs, 200 KB in stress tests, 30 MB in ambulatory ECGs), short delays (2-3.3s in real-time transmission) and compression of the signal (by ≃3 in real-time transmission, by ≃5 in offline operation) despite of the embedding of security elements and metadata to enable e-health services.
本文提出了一种用于一维生物医学信号的编码系统，该系统允许嵌入元数据，并提供安全性和隐私性。该设计基于对电子健康环境中安全高效存储、传输和访问医疗测试的需求分析。该方法使用一维 SPIHT 算法以临床质量压缩一维生物医学信号，在压缩域中嵌入元数据以避免额外的失真，使用数字签名实现安全性，并使用基于属性的访问控制进行属性级加密。该实现已使用标准心电图和脑电图数据库（MIT-BIH 心律失常、MIT-BIH 压缩和 SCCN-EEG）进行了广泛测试，证明了高嵌入容量（例如，静息心电图中为 3KB，应激测试中为 200KB，动态心电图中为 30MB），短延迟（实时传输中为 2-3.3s）以及信号压缩（实时传输中约为 3，离线操作中约为 5），尽管嵌入了安全元素和元数据以实现电子健康服务。
