Journal ArticleDOI
A reversible and multipurpose ECG data hiding technique for telemedicine applications
TLDR
A completely reversible data hiding method for ECG (Electrocardiogram) data that can find out false ownership claims as well as detect the tampered region of ECG data and 100% reversibility is proposed.About:
This article is published in Pattern Recognition Letters.The article was published on 2019-07-01. It has received 42 citations till now. The article focuses on the topics: Information hiding & Signal-to-noise ratio.read more
Citations
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Journal ArticleDOI
An Intelligent Cognitive-Inspired Computing with Big Data Analytics Framework for Sentiment Analysis and Classification
TL;DR: New cognitive computing with the big data analysis tool for Sentiment Analysis is presented and improved classification performance of the proposed BBSO-FCM model is highlighted in terms of different measures.
Journal ArticleDOI
An Intelligent Cognitive-Inspired Computing with Big Data Analytics Framework for Sentiment Analysis and Classification
TL;DR: In this paper , Sentiment Analysis (SA) is employed to understand such linguistic based tweets, feature extraction, compute subjectivity and sentimental texts placed in these tweets, which is useful for businesses to take commercial benefits insight from textoriented content.
Journal ArticleDOI
A Comprehensive Study of Reversible Data Hiding (RDH) Schemes Based on Pixel Value Ordering (PVO)
TL;DR: A comprehensive study of all the existing PVO based RDH schemes along with comparative analysis of different PVO-based RDH scheme using two key parameters—embedding capacity and marked image quality, is presented.
Journal ArticleDOI
Encryption of ECG signals for telemedicine applications
Abeer D. Algarni,Naglaa F. Soliman,Naglaa F. Soliman,Hanaa A. Abdallah,Hanaa A. Abdallah,Fathi E. Abd El-Samie,Fathi E. Abd El-Samie +6 more
TL;DR: The paper presents three cryptosystems for ECG signal encryption based on the fusion of ECG signals with other masking signals that are rich in activities such as speech signals, which saves much time and is more immune to both noise and hacking scenarios.
Journal ArticleDOI
ECG steganography based on tunable Q‐factor wavelet transform and singular value decomposition
P. Mathivanan,A. Balaji Ganesh +1 more
TL;DR: The article presents a novel ECG steganography scheme based on the tunable Q‐factor wavelet transformation (TQWT) and also singular value decomposition (SVD) techniques that ensure better safety and confidentiality of patient information.
References
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Journal ArticleDOI
PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.
Ary L. Goldberger,Luís A. Nunes Amaral,Leon Glass,Jeffrey M. Hausdorff,Plamen Ch. Ivanov,Roger G. Mark,Joseph E. Mietus,George B. Moody,Chung-Kang Peng,H. Eugene Stanley +9 more
TL;DR: The newly inaugurated Research Resource for Complex Physiologic Signals (RRSPS) as mentioned in this paper was created under the auspices of the National Center for Research Resources (NCR Resources).
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The impact of the MIT-BIH Arrhythmia Database
George B. Moody,Roger G. Mark +1 more
TL;DR: The history of the database, its contents, what is learned about database design and construction, and some of the later projects that have been stimulated by both the successes and the limitations of the MIT-BIH Arrhythmia Database are reviewed.
Journal ArticleDOI
Reversible data embedding using a difference expansion
TL;DR: The redundancy in digital images is explored to achieve very high embedding capacity, and keep the distortion low, in a novel reversible data-embedding method for digital images.
Journal ArticleDOI
Expansion Embedding Techniques for Reversible Watermarking
D.M. Thodi,Jeffrey J. Rodriguez +1 more
TL;DR: The experimental results for many standard test images show that prediction-error expansion doubles the maximum embedding capacity when compared to difference expansion, and there is a significant improvement in the quality of the watermarked image, especially at moderate embedding capacities.
Journal ArticleDOI
Deep learning for healthcare applications based on physiological signals: A review.
TL;DR: This review paper depicts the application of various deep learning algorithms used till recently, but in future it will be used for more healthcare areas to improve the quality of diagnosis.