Literature DB >> 26711443

Effective Electrocardiogram Steganography Based on Coefficient Alignment.

Ching-Yu Yang1, Wen-Fong Wang2.   

Abstract

This study presents two types of data hiding methods based on coefficient alignment for electrocardiogram (ECG) signals, namely, lossy and reversible ECG steganographys. The lossy method is divided into high-quality and high-capacity ECG steganography, both of which are capable of hiding confidential patient data in ECG signals. The reversible data hiding method can not only hide secret messages but also completely restore the original ECG signal after bit extraction. Simulations confirmed that the perceived quality generated by the lossy ECG steganography methods was good, while hiding capacity was acceptable. In addition, these methods have a certain degree of robustness, which is rare in conventional ECG stegangraphy schemes. Moreover, the proposed reversible ECG steganography method can not only successfully extract hidden messages but also completely recover the original ECG data.

Entities:  

Keywords:  Coefficient alignment; Data hiding; Lossy ECG steganography; Reversible ECG steganography

Mesh:

Year:  2015        PMID: 26711443     DOI: 10.1007/s10916-015-0426-9

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  12 in total

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3.  Embedding and retrieving private metadata in electrocardiograms.

Authors:  Suleyman S Kozat; Michail Vlachos; Claudio Lucchese; Helga Van Herle; Philip S Yu
Journal:  J Med Syst       Date:  2009-08       Impact factor: 4.460

4.  A new Watermarking System based on Discrete Cosine Transform (DCT) in color biometric images.

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Authors:  Jing Liu; Guangming Tang; Yifeng Sun
Journal:  J Med Syst       Date:  2013-01-15       Impact factor: 4.460

6.  Discrete wavelet transform and singular value decomposition based ECG steganography for secured patient information transmission.

Authors:  S Edward Jero; Palaniappan Ramu; S Ramakrishnan
Journal:  J Med Syst       Date:  2014-09-04       Impact factor: 4.460

7.  Hiding patients confidential datainthe ECG signal viaa transform-domain quantization scheme.

Authors:  Shuo-Tsung Chen; Yuan-Jie Guo; Huang-Nan Huang; Woon-Man Kung; Kuo-Kun Tseng; Shu-Yi Tu
Journal:  J Med Syst       Date:  2014-05-17       Impact factor: 4.460

8.  Security and privacy issues in wireless sensor networks for healthcare applications.

Authors:  Moshaddique Al Ameen; Jingwei Liu; Kyungsup Kwak
Journal:  J Med Syst       Date:  2010-03-12       Impact factor: 4.460

9.  Wavelet-based watermarking and compression for ECG signals with verification evaluation.

Authors:  Kuo-Kun Tseng; Xialong He; Woon-Man Kung; Shuo-Tsung Chen; Minghong Liao; Huang-Nan Huang
Journal:  Sensors (Basel)       Date:  2014-02-21       Impact factor: 3.576

10.  Wavelet-Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Systems.

Authors:  Ayman Ibaida; Ibrahim Khalil
Journal:  IEEE Trans Biomed Eng       Date:  2013-05-21       Impact factor: 4.538

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Authors:  Anukul Pandey; Barjinder Singh Saini; Butta Singh; Neetu Sood
Journal:  J Med Syst       Date:  2017-10-18       Impact factor: 4.460

3.  Improved ECG Watermarking Technique Using Curvelet Transform.

Authors:  Lalit Mohan Goyal; Mamta Mittal; Ranjeeta Kaushik; Amit Verma; Iqbaldeep Kaur; Sudipta Roy; Tai-Hoon Kim
Journal:  Sensors (Basel)       Date:  2020-05-22       Impact factor: 3.576

  3 in total

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