Reversible Watermarking for Electrocardiogram Protection
Year: 2025
Type: article
Abstract: The electrocardiogram (ECG) is one of the widespread diagnostic methods used in telemedicine. However, in the telemedicine systems, the data transfer process to the end user may suffer from security risks. Reversible watermarking can preserve the security of electrocardiograms and keep their original precision for correct diagnostics. In this paper, we present an extensive investigation of four reversible watermarking methods: prediction error expansion (PEE), reversible contrast mapping difference expansion (RCM), integer transform-based difference expansion (ITB), and compression-based watermarking. We discover new facets of the existing ECG watermarking methods (PEE and compression-based watermarking) and adapt image watermarking methods (RCM and ITB) to ECG signal. We compare different kinds of prediction and compression methods used in the studied methods and provide a watermark capacity comparison for different methods' implementations. The research results will help in watermarking method selection in practice.
Source: Sensors
DOI: 10.3390/s25072185
Authors: Pavel Andreev, Anna Denisova, Victor Fedoseev
Institution: Samara National Research University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,137
Funder: Russian Science Foundation
Award: G3183380434
OpenAlex ID: W4408992722
