IEEE J Biomed Health Inform. 2018 May;22(3):707-713. doi: 10.1109/JBHI.2017.2698498. Epub 2017 Apr 27.
Electrocardiogram (ECG) monitoring systems are widely used in healthcare. ECG data must be compressed for transmission and storage. Furthermore, there is a need to be able to directly process biomedical signals in encrypted domains to ensure the protection of patients' privacy. Existing encryption-then-compression (ETC) approaches for multimedia using the state-of-the-art encryption techniques inevitably sacrifice the compression efficiency or signal quality. This paper presents the first ETC approach for processing ECG data. The proposed approach not only can protect data privacy but also provide the same quality of the reconstructed signals without sacrificing the compression efficiency relative to unencrypted compressions. Specifically, the singular value decomposition technique is used to compress the data such that the proposed system can provide quality-control compressed data, even though the data has been encrypted. Experimental results prove the proposed system to be an effective technique for assuring data security as well as compression performance for ECG data.
心电图（ECG）监测系统在医疗保健中得到了广泛应用。ECG 数据必须经过压缩才能传输和存储。此外，还需要能够直接在加密域中处理生物医学信号，以确保保护患者的隐私。现有的使用最先进加密技术的多媒体加密-然后压缩（ETC）方法不可避免地牺牲了压缩效率或信号质量。本文提出了一种用于处理 ECG 数据的 ETC 方法。所提出的方法不仅可以保护数据隐私，而且可以在不牺牲压缩效率的情况下提供与未加密压缩相同的重建信号质量。具体来说，使用奇异值分解技术对数据进行压缩，使得所提出的系统即使在数据已加密的情况下也可以提供质量控制的压缩数据。实验结果证明，该系统是一种有效的技术，可以确保 ECG 数据的安全性以及压缩性能。
