Pioneering Security in Healthcare: Reversible Data Hiding for ECG Signals and Patient Information
ECG signal; High bit rate; Medical data hiding; Prediction error expansion; Reversible data hiding; Water marking
A population in large across worldwide grieve from cardiac illnesses, leading towards an increase in the popularity of telecardiology. Consequently, a significant quantity of electrocardiogram (ECG) signals and sensitive patient information are communicated over the Internet. Using electrocardiogram (ECG) signals as the host medium, this system safeguards the patient's personal information. Nevertheless, it was not possible to replicate the original electrocardiogram (ECG) signal entirely. Therefore, any alterations that occur on EKG have the potential to lead physicians to make an inaccurate diagnosis, which is something that the patient cannot accept. According to the fundamental viewpoint presented in this study, reversible hidden data must completely hide the patient information and ECG signals when they are present. Discreet patient data leading to their personal attributes should be incorporated into the electrocardiogram which is ECG signal while preserving a high level of visibility. On the other hand, in order to safeguard the confidentiality of the patient and the ECG signal, we employ a single built-in encryption mechanism. The ECG instance which is watermarked is recreated in detail. The findings presented herein provide evidence that the proposed method can be reversed. 2026 IEEE.
Vidushi; Tripathi, Joyti K; Gupta, Praveen Kumar; Bhardwaj, Shashank; Seth, Deepti; Tripathi, Nishant
4th IEEE International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2026;pp.45-50
Institute of Electrical and Electronics Engineers Inc.
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1109/PARC68365.2026.11453659 https://www.scopus.com/pages/publications/105036861591?origin=resultslist
Vidushi, School of Sciences, Christ University, Bengaluru, India; Tripathi J.K., School of Information Technology, IMS Noida, Noida, India; Gupta P.K., School of Computer Science and Engineering, Bennett University, Greater Noida, India; Bhardwaj S., KIET Group of Institutions, Department of Computer Applications, Ghaziabad, India; Seth D., KIET Group of Institutions, Department of Applied Science, Ghaziabad, India; Tripathi N., Alliance University, Department of Computer Science and Engineering, Bengaluru, India