Secure and Reversible Data Hiding in ECG Signals for Enhanced Patient Privacy in Telecardiology

Due to the worldwide rise in the incidence of cardiovascular disease, telecardiology has become increasingly mainstream in recent years. As a result, a great deal of Electrocardiogram (ECG) signals and other private patient information are transmitted over the web. Using the ECG signal as a host for patient data is a potential method for protecting sensitive information. However, the original ECG signal is not perfectly reproduced. Therefore, any changes in the ECG have the potential to lead the doctor to an incorrect diagnosis, which is unacceptable from the patient's point of view. The fundamental idea behind this article demands complete concealment of patient information and ECG signals through reversible hidden data. It is advisable to incorporate sensitive patient information inside the ECG signals while preserving its prominent visibility feature. Subsequently, a singular pre-existing encryption technique will be employed to safeguard the confidentiality of both the patient and the ECG signal. The process of generating the watermarked ECG signal is characterized by a high level of reconstruction density. The results demonstrate that the strategies we have proposed exhibit reversibility and possess a Percent Residual Difference (PRD) value of maximum 0.3 %. The proposed method has been tested for prevention of unauthorized access.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/ariia63345.2024.11051527
Citations
3
Primary Topic
Advanced Steganography and Watermarking Techniques
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article
Field-Weighted Citation Impact
0.75
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article

Secure and Reversible Data Hiding in ECG Signals for Enhanced Patient Privacy in Telecardiology

Satyajee Srivastava, Princy Randhawa, Anupam Lakhanpal, Neeraj Kumar Singh et al.
3 citations
Advanced Steganography and Watermarking Techniques
0.75
article

Secure and Reversible Data Hiding in ECG Signals for Enhanced Patient Privacy in Telecardiology

Satyajee Srivastava, Princy Randhawa, Anupam Lakhanpal, Neeraj Kumar Singh, Ashish Tiwari
article en
3 citations

Abstract

Due to the worldwide rise in the incidence of cardiovascular disease, telecardiology has become increasingly mainstream in recent years. As a result, a great deal of Electrocardiogram (ECG) signals and other private patient information are transmitted over the web. Using the ECG signal as a host for patient data is a potential method for protecting sensitive information. However, the original ECG signal is not perfectly reproduced. Therefore, any changes in the ECG have the potential to lead the doctor to an incorrect diagnosis, which is unacceptable from the patient's point of view. The fundamental idea behind this article demands complete concealment of patient information and ECG signals through reversible hidden data. It is advisable to incorporate sensitive patient information inside the ECG signals while preserving its prominent visibility feature. Subsequently, a singular pre-existing encryption technique will be employed to safeguard the confidentiality of both the patient and the ECG signal. The process of generating the watermarked ECG signal is characterized by a high level of reconstruction density. The results demonstrate that the strategies we have proposed exhibit reversibility and possess a Percent Residual Difference (PRD) value of maximum 0.3 %. The proposed method has been tested for prevention of unauthorized access.

Guru Gobind Singh Indraprastha University (IN), Maharishi Markandeshwar University, Mullana (IN), Manipal Academy of Higher Education (IN), University of Lucknow (IN), Artificial Intelligence in Medicine (Canada) (CA), Manipal Hospital (IN)
Openalex Percentile: Top 26%
Advanced Steganography and Watermarking Techniques
0.75
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Secure and Reversible Data Hiding in ECG Signals for Enhanced Patient Privacy in Telecardiology — Satyajee Srivastava, Princy Randhawa, et al. · (2024) | TGRS Research Map | TGRS