Effective Electrocardiogram Steganography Based on Coefficient Alignment.

Area of Science:

• Biomedical Engineering
• Information Security
• Digital Signal Processing

Background:

• Electrocardiogram (ECG) signals are vital for diagnosing cardiac conditions.
• Secure transmission of sensitive patient data is a critical concern in healthcare.
• Existing ECG steganography methods often lack robustness or reversibility.

Purpose of the Study:

• To develop and evaluate novel data hiding techniques for ECG signals.
• To offer both lossy and reversible steganography methods for ECG data.
• To enhance the security and integrity of patient data during transmission.

Main Methods:

• Coefficient alignment-based data hiding for ECG signals.
• Development of high-quality and high-capacity lossy ECG steganography.
• Implementation of a reversible ECG steganography method for data embedding and extraction.

Main Results:

• Lossy ECG steganography demonstrated good perceived quality and acceptable hiding capacity.
• The reversible method successfully extracted hidden messages and fully restored original ECG data.
• Both methods exhibited a degree of robustness, outperforming conventional schemes.

Conclusions:

• The proposed methods provide effective solutions for secure data hiding in ECG signals.
• The reversible technique ensures data integrity by allowing complete restoration of the original ECG signal.
• These advancements contribute to more secure and reliable telemedicine and remote patient monitoring.