Access the full text.
Sign up today, get DeepDyve free for 14 days.
ObjectiveA novel idea of exploiting the chaotic sequences for substitution in the DCT coefficients of ECG signal according to the secret data is proposed in this work.MethodologyThe chaotic values are selected as per the decimal number generated from a bundle of secret bits. The selected chaotic values sensibly manipulates only the low- energy DCT coefficients, thus preservinge the diagnostic features of the ECG signal. The approach engenders unprecedented rise in the eEmbedding cCapacity (EC) as every substitution involves secret bits equal to the bundle size. The remarkable feature of the approach is that unlike existing steganography techniques, the perceptual quality of the stego-ECG is minimally affected with increase in the EC.ResultsThe performance of the proposed technique is evaluated in terms of non-diagnostic distortion measures and clinically diagnostic error measures, while EC and bit error rate (BER) assess the steganography efficiency. The security analysis done in terms of key space verifies the robustness of the algorithm. The experimentation is done on the standard databases (both normal and abnormal) as well as on the self-recorded database. An average PRD, PSNR, WWPRD, WEDD and EC measured on all 48 records of MIT-BIH arrhythmia database of 5 min come out to be 2.51 × 10−3, 55.82, 0.088, 4.45 × 10−3 and 4.16, respectively marking the competency of the proposed technique in ECG steganography applications.
Research on Biomedical Engineering – Springer Journals
Published: Apr 27, 2021
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.