A morphologically robust chaotic map based approach to embed patient’s confidential data securely in non-QRS regions of ECG signal

[1]  B. S. Saini,et al.  An Integrated Approach Using Chaotic Map & Sample Value Difference Method for Electrocardiogram Steganography and OFDM Based Secured Patient Information Transmission , 2017, Journal of Medical Systems.

[2]  Farhana Ahad,et al.  Hiding clinical information in medical images: A new high capacity and reversible data hiding technique , 2017, J. Biomed. Informatics.

[3]  B. S. Saini,et al.  A 2D electrocardiogram data compression method using a sample entropy-based complexity sorting approach , 2016, Comput. Electr. Eng..

[4]  B. S. Saini,et al.  A joint application of optimal threshold based discrete cosine transform and ASCII encoding for ECG data compression with its inherent encryption , 2016, Australasian Physical & Engineering Sciences in Medicine.

[5]  Leonardo Palacios-Luengas,et al.  A steganographic method using Bernoulli's chaotic maps , 2016, Comput. Electr. Eng..

[6]  Rengarajan Amirtharajan,et al.  Chaos based crossover and mutation for securing DICOM image , 2016, Comput. Biol. Medicine.

[7]  Swaminathan Ramakrishnan,et al.  Imperceptibility - Robustness tradeoff studies for ECG steganography using Continuous Ant Colony Optimization , 2016, Expert Syst. Appl..

[8]  Jagmeet P. Singh,et al.  QRS Duration or QRS Morphology: What Really Matters in Cardiac Resynchronization Therapy? , 2016, Journal of the American College of Cardiology.

[9]  Ching-Yu Yang,et al.  Effective Electrocardiogram Steganography Based on Coefficient Alignment , 2016, Journal of Medical Systems.

[10]  V. Rajaraman,et al.  IEEE standard for floating point numbers , 2016 .

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

[12]  Adriana Mexicano,et al.  Feature extraction of electrocardiogram signals by applying adaptive threshold and principal component analysis , 2015 .

[13]  Yicong Zhou,et al.  2D Sine Logistic modulation map for image encryption , 2015, Inf. Sci..

[14]  Vijay H. Mankar,et al.  Current status and key issues in image steganography: A survey , 2014, Comput. Sci. Rev..

[15]  Swaminathan Ramakrishnan,et al.  Discrete Wavelet Transform and Singular Value Decomposition Based ECG Steganography for Secured Patient Information Transmission , 2014, Journal of Medical Systems.

[16]  Hung-Ming Chen,et al.  Performance Evaluation of Continuity of Care Records (CCRs): Parsing Models in a Mobile Health Management System , 2014, Journal of Medical Systems.

[17]  Kuo-Kun Tseng,et al.  Hiding Patients Confidential Datainthe ECG Signal viaa Transform-Domain Quantization Scheme , 2014, Journal of Medical Systems.

[18]  Yicong Zhou,et al.  A new 1D chaotic system for image encryption , 2014, Signal Process..

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

[20]  Arun Khosla,et al.  QRS detection using K-Nearest Neighbor algorithm (KNN) and evaluation on standard ECG databases , 2012, Journal of advanced research.

[21]  Habib Zaidi,et al.  A contextual based double watermarking of PET images by patient ID and ECG signal , 2011, Comput. Methods Programs Biomed..

[22]  Ayman Ibaida,et al.  Embedding patients confidential data in ECG signal for healthcare information systems , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[23]  Amine Naït-Ali,et al.  QRS complex detection using Empirical Mode Decomposition , 2010, Digit. Signal Process..

[24]  A. Kanso,et al.  Logistic chaotic maps for binary numbers generations , 2009 .

[25]  M. Sabarimalai Manikandan,et al.  Wavelet energy based diagnostic distortion measure for ECG , 2007, Biomed. Signal Process. Control..

[26]  Elaine B. Barker,et al.  A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications , 2000 .

[27]  S. Itoh,et al.  A wavelet transform-based ECG compression method guaranteeing desired signal quality , 1998, IEEE Transactions on Biomedical Engineering.

[28]  Sushil Jajodia,et al.  Exploring steganography: Seeing the unseen , 1998, Computer.

[29]  M. Ishijima Fundamentals of the Decision of Optimum Factors in he ECG Data Compression , 1993 .

[30]  Willis J. Tompkins,et al.  A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.

[31]  Xingming Sun,et al.  A High-Capacity Image Data Hiding Scheme Using Adaptive LSB Substitution , 2009 .

[32]  Amjed S. Al-Fahoum,et al.  Quality assessment of ECG compression techniques using a wavelet-based diagnostic measure , 2006, IEEE Transactions on Information Technology in Biomedicine.

[33]  Robert Plonsey,et al.  Bioelectromagnetism: Principles and Applications of Bioelectric and Biomagnetic Fields , 1995 .

[34]  J. J. Carr,et al.  Introduction to Biomedical Equipment Technology , 1981 .