Application of Watermarking Technique to Embedding Homemade Exercise Test Data into a Standard ECG Signal

Digital watermarking is a steganographic technique for hiding the confidential data into an open message, usually employed for content authentication, proof of authorship and copy control. This tool may also be useful for broadening the measurement context by coding auxiliary digital information into the main (host) signal of variable bandwidth. In this paper we present the application of the watermarking technique to embedding in-field screening or homemade exercise test data into a standard digital ECG signal. This approach allows to track the physical load of the patient even in natural living environment with a standard Holter recording and messaging equipment with no additional data storage structures or transmission channel.

[1]  Eliasz Kantoch,et al.  Bio-inspired Topology of Wearable Sensor Fusion for Telemedical Application , 2017, ICAISC.

[2]  P. Augustyniak PURSUIT OF THE ECG INFORMATION DENSITY BY DATA CANCELLING IN TIME-FREQUENCY DOMAIN , 2002 .

[3]  P. Augustyniak Analysis of ECG bandwidth gap as a possible carrier for supplementary digital data , 2012, 2012 Computing in Cardiology.

[4]  Mehmet Engin,et al.  Wavelet Transformation Based Watermarking Technique for Human Electrocardiogram (ECG) , 2005, Journal of Medical Systems.

[5]  Ayman Ibaida,et al.  Wavelet-Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Systems , 2013, IEEE Transactions on Biomedical Engineering.

[6]  Tina Fan,et al.  Screening for coronary heart disease with electrocardiography. , 2014, American family physician.

[7]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[8]  Pablo Laguna,et al.  A wavelet-based ECG delineator: evaluation on standard databases , 2004, IEEE Transactions on Biomedical Engineering.

[9]  K. P. Indiradevi,et al.  Integer-to-Integer Wavelet Transform Based ECG Steganography for Securing Patient Confidential Information , 2016 .

[10]  Nilanjan Dey,et al.  Watermarking in Biomedical Signal Processing , 2017 .

[11]  Daniel P. Siewiorek,et al.  Activity recognition and monitoring using multiple sensors on different body positions , 2006, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06).

[12]  Nilanjan Dey,et al.  Intelligent Techniques in Signal Processing for Multimedia Security , 2017 .

[13]  P. Augustyniak Moving window signal concatenation for spectral analysis of ECG waves , 2010, 2010 Computing in Cardiology.

[14]  Bor-Shing Lin,et al.  Preserving privacy of online digital physiological signals using blind and reversible steganography , 2017, Comput. Methods Programs Biomed..

[15]  P. Augustyniak,et al.  Analysis of human eye movements during the plot inspection as a tool of assessment of local informative value of the 12-lead ECG , 2007 .

[16]  V. B. Raskar,et al.  SURVEY PAPER ON WAVELET BASED ECG STEGANOGRAPHY , 2015 .

[17]  Weiming Zhang,et al.  Protecting patient confidential information based on ECG reversible data hiding , 2015, Multimedia Tools and Applications.

[18]  Minghong Liao,et al.  Wavelet-Based Watermarking and Compression for ECG Signals with Verification Evaluation , 2014, Sensors.

[19]  Piotr Augustyniak Encoding the electrocardiogram details in the host record's bandgap for authorization-dependent ECG quality , 2014, Computing in Cardiology 2014.

[20]  Hassan Ghasemzadeh,et al.  Physical Movement Monitoring Using Body Sensor Networks: A Phonological Approach to Construct Spatial Decision Trees , 2011, IEEE Transactions on Industrial Informatics.

[21]  S. Edward Jero,et al.  ECG steganography using curvelet transform , 2015, Biomed. Signal Process. Control..

[22]  Deepak L. Bhatt,et al.  2013 ACCF/AHA guideline for the management of ST-elevation myocardial infarction: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. , 2013, Circulation.

[23]  S. Edward Jero,et al.  Curvelets-based ECG steganography for data security , 2016 .

[24]  Chien-Ding Lee,et al.  A Cryptographic Key Management Solution for HIPAA Privacy/Security Regulations , 2008, IEEE Transactions on Information Technology in Biomedicine.

[25]  R A Bruce,et al.  Methods of exercise testing. Step test, bicycle, treadmill, isometrics. , 1974, The American journal of cardiology.

[26]  Omar Farooq,et al.  Digital Watermarking of ECG Data for Secure Wireless Commuication , 2010, 2010 International Conference on Recent Trends in Information, Telecommunication and Computing.

[27]  J H van Bemmel,et al.  A reference data base for multilead electrocardiographic computer measurement programs. , 1987, Journal of the American College of Cardiology.

[28]  Ayman Ibaida,et al.  A low complexity high capacity ECG signal watermark for wearable sensor-net health monitoring system , 2011, 2011 Computing in Cardiology.