Abstract

E-healthcare systems are rapidly gaining importance with the evolution of remote monitoring devices for patient diagnosis. While transmitting patient classified information, it is essential to ensure that patient confidentiality is maintained. ECG signals are used as a medium to mask the patient's confidential data. ECG steganography is achieved by using Discrete Wavelet Transform along with Singular Value Decomposition. To assure that minimal distortion is reported after embedding the data, two distortion metrics namely, Percentage Residual Difference and Bit Error Rate are used. The proposal is implemented on MIT-BIH database and it has been observed that the proposed approach offers minimum distortion hence retaining the authenticity of the original signal.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.