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Proceedings ArticleDOI

Unequal steganography with unequal error protection for wireless physiological signal transmission

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TLDR
Based on the literature reviews, the reliability, robustness, and energy efficiency of this proposed method are unmatched in comparison with any other published methods.
Abstract
In this paper, an innovative idea of secure and energy efficient electrocardiogram steganography based on Discrete Wavelet Transform (DWT) is proposed, in which different important ECG data are steganographed with variable embedding strengths so that the reconstructed ECG signal quality is preserved. Incorporating the proposed Unequal Steganography Embedding (USE) with Unequal Error Protection (UEP), the proposed scheme further improves transmission performance in terms of ECG signal quality, ensures the confidentiality as well as reliability of a user's data, and makes the transmission more energy efficient. Simulation results demonstrate that USE attains very low distortion (WWPRD less than 0.45 %). Furthermore, high correlation between host and stego ECG and ECG data remains diagnosable after steganography. Based on our literature reviews, the reliability, robustness, and energy efficiency of this proposed method are unmatched in comparison with any other published methods.

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Journal Article

Scalable and Secure Sharing of Personal Health Records in Cloud Computing using Attribute–Based Encryption

TL;DR: A cloud-based PHR system taking a radically new architectural solution to health record portability and a prototype of My PHR Machines applied to two use cases, i.e., radiology image sharing and personalized medicine are discussed.
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Real-Time Medical Systems Based on Human Biometric Steganography: a Systematic Review.

TL;DR: Recommendations on how the challenges associated with data hiding can be addressed are provided to enhance the efficiency of using biometric information processed in any authentication real-time medical system.
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Review on secured data capabilities of cryptography, steganography, and watermarking domain

TL;DR: It is concluded that cryptography techniques could be utilized with steganography and watermarking in secured data domain to enhance the security mechanisms.
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Bio-signal data sharing security through watermarking: a technical survey

TL;DR: A comprehensive survey on data hiding techniques for smart healthcare applications is presented in this article, where the authors introduce various aspects of data hiding along with major properties, generic embedding and extraction process, and recent applications.
References
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Journal ArticleDOI

A theory for multiresolution signal decomposition: the wavelet representation

TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
Journal ArticleDOI

A Real-Time QRS Detection Algorithm

TL;DR: A real-time algorithm that reliably recognizes QRS complexes based upon digital analyses of slope, amplitude, and width of ECG signals and automatically adjusts thresholds and parameters periodically to adapt to such ECG changes as QRS morphology and heart rate.
Journal ArticleDOI

Scalable and Secure Sharing of Personal Health Records in Cloud Computing Using Attribute-Based Encryption

TL;DR: A novel patient-centric framework and a suite of mechanisms for data access control to PHRs stored in semitrusted servers are proposed and a high degree of patient privacy is guaranteed simultaneously by exploiting multiauthority ABE.
Journal ArticleDOI

Wavelet transforms and the ECG: a review.

TL;DR: In this review, the emerging role of the wavelet transform in the interrogation of the ECG is discussed in detail, where both the continuous and the discrete transform are considered in turn.
Book

Wavelets: A Mathematical Tool for Signal Analysis

TL;DR: This book discusses waveform modeling and segmentation, algorithms and filter banks, and the need for duals and duality principle in relation to spline wavelets.
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