Ecg signal watermarking using QR decomposition
Author:
Funder
University of Guilan
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13246-024-01480-3.pdf
Reference28 articles.
1. Nambakhsh MS, Ahmadian A, Ghavami M, Dilmaghani RS, Karimi-Fard S (2006) A novel blind watermarking of ecg signals on medical images using ezw algorithm. In: 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, vol 2, pp 3274–3277. https://doi.org/10.1109/IEMBS.2006.259603
2. Venkateswarlu L, Rao NV, Reddy BE (2017) A robust double watermarking technique for medical images with semi-fragility. In: 2017 International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT), pp 126–131. https://doi.org/10.1109/ICRAECT.2017.40
3. Bhalerao S, Ansari IA, Kumar A (2020) Reversible ecg data hiding: Analysis and comparison of ann, regression svm and random forest regression. In: Proceedings of the 2020 IEEE International Conference on Communication and Signal Processing, ICCSP 2020, pp 667–671. https://doi.org/10.1109/ICCSP48568.2020.9182219
4. Natgunanathan I, Karmakar C, Rajasegarar S, Zong T, Habib A (2020) Robust patient information embedding and retrieval mechanism for ecg signals. IEEE Access 8:181233–181245. https://doi.org/10.1109/ACCESS.2020.3025533
5. Devi A, Shivakumar KB (2017) Novel Audio Steganography Technique for ECG Signals in Point of Care Systems (NASTPOCS). In: Proceedings - 2016 IEEE International Conference on Cloud Computing in Emerging Markets, CCEM 2016, pp 101–106. https://doi.org/10.1109/CCEM.2016.026
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