Literature DB >> 24832688

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

Shuo-Tsung Chen1, Yuan-Jie Guo, Huang-Nan Huang, Woon-Man Kung, Kuo-Kun Tseng, Shu-Yi Tu.   

Abstract

Watermarking is the most widely used technology in the field of copyright and biological information protection. In this paper, we use quantization based digital watermark encryption technology on the Electrocardiogram (ECG) to protect patient rights and information. Three transform domains, DWT, DCT, and DFT are adopted to implement the quantization based watermarking technique. Although the watermark embedding process is not invertible, the change of the PQRST complexes and amplitude of the ECG signal is very small and so the watermarked data can meet the requirements of physiological diagnostics. In addition, the hidden information can be extracted without knowledge of the original ECG data. In other words, the proposed watermarking scheme is blind. Experimental results verify the efficiency of the proposed scheme.

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Year:  2014        PMID: 24832688     DOI: 10.1007/s10916-014-0054-9

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


  9 in total

1.  The impact of the MIT-BIH arrhythmia database.

Authors:  G B Moody; R G Mark
Journal:  IEEE Eng Med Biol Mag       Date:  2001 May-Jun

2.  Watermarking medical signals for telemedicine.

Authors:  X Kong; R Feng
Journal:  IEEE Trans Inf Technol Biomed       Date:  2001-09

3.  Wavelet transformation based watermarking technique for human electrocardiogram (ECG).

Authors:  Mehmet Engin; Oğuz Cidam; Erkan Zeki Engin
Journal:  J Med Syst       Date:  2005-12       Impact factor: 4.460

4.  Embedding patients confidential data in ECG signal for healthcare information systems.

Authors:  Ayman Ibaida; Ibrahim Khalil; Dhiah Al-Shammary
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

5.  A novel blind watermarking of ECG signals on medical images using EZW algorithm.

Authors:  Mohammad S Nambakhsh; Alireza Ahmadian; Mohammad Ghavami; Reza S Dilmaghani; S Karimi-Fard
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2006

6.  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

7.  A patient privacy protection scheme for medical information system.

Authors:  Chenglang Lu; Zongda Wu; Mingyong Liu; Wei Chen; Junfang Guo
Journal:  J Med Syst       Date:  2013-10-30       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 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

  9 in total
  6 in total

1.  Effective Electrocardiogram Steganography Based on Coefficient Alignment.

Authors:  Ching-Yu Yang; Wen-Fong Wang
Journal:  J Med Syst       Date:  2015-12-29       Impact factor: 4.460

2.  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

3.  Dual-Level Security based Cyclic18 Steganographic Method and its Application for Secure Transmission of Keyframes during Wireless Capsule Endoscopy.

Authors:  Khan Muhammad; Muhammad Sajjad; Sung Wook Baik
Journal:  J Med Syst       Date:  2016-03-19       Impact factor: 4.460

4.  An Integrated Approach Using Chaotic Map & Sample Value Difference Method for Electrocardiogram Steganography and OFDM Based Secured Patient Information Transmission.

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

5.  Intelligent Healthcare System Using Patients Confidential Data Communication in Electrocardiogram Signals.

Authors:  Ming Zhao; Shuo-Tsung Chen; Tzu-Li Chen; Shu-Yi Tu; Cheng-Ta Yeh; Fang-Yu Lin; Hao-Chun Lu
Journal:  Front Aging Neurosci       Date:  2022-04-20       Impact factor: 5.702

6.  Wavelet-Domain Information-Hiding Technology with High-Quality Audio Signals on MEMS Sensors.

Authors:  Ming Zhao; Shuo-Tsung Chen; Shu-Yi Tu
Journal:  Sensors (Basel)       Date:  2022-08-30       Impact factor: 3.847

  6 in total

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