Hiding Patients Confidential Datainthe ECG Signal viaa Transform-Domain Quantization Scheme

Author:

Chen Shuo-Tsung,Guo Yuan-Jie,Huang Huang-Nan,Kung Woon-Man,Tseng Kuo-Kun,Tu Shu-Yi

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Reference20 articles.

1. Anand, D., and Niranjan, U. C., Watermarking medical images with patient information. in:Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Hong Kong, China, 29 Oct.-1 Nov. 2:703–706, 1998.

2. Kong, X., and Feng, R., Watermarking Medical Signals for Telemedicine. IEEE Transactions on Information Technology in Biomedicine 5(3):195–201, 2001.

3. Engin, M., Çidam, O., and Engin, E. Z., Wavelet transformation based watermarking technique for human electrocardiogram (ECG). Journal of Medical Systems 29(6):589–594, 2005.

4. Nambakhsh, M. S., Ahmadian, A., Ghavami, M., Dilmaghani, R. S., and Karimi-Fard, S., A novel blind watermarking of ECG signals on medical images using EZW algorithm. in:Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS’06), New York, USA, 30 Aug- 3 Sept 1:3274–3277, 2006.

5. Zheng KM, Qian X (2008) Reversible data hiding for electrocardiogram signal based on wavelet transforms. In: Proceedings of the2008 International Conference on Computational Intelligence and Security (CIS2008), Suzhou, China,, 13–17 Dec., pp. 295–299.

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