Enhancing Security of Telemedicine Data: A Multi-Scroll Chaotic System for ECG Signal Encryption and RF Transmission.

Area of Science:

• Biomedical Engineering
• Cryptography
• Wireless Communications

Background:

• Increasing demand for secure telemedicine communications necessitates robust protection of sensitive patient data like electrocardiogram (ECG) signals during RF wireless transmission.
• Existing security measures may not adequately address the unique challenges of transmitting complex medical data wirelessly.

Purpose of the Study:

• To propose and validate an innovative chaotic-based encryption system for enhancing the security and integrity of telemedicine data transmission.
• To ensure reliable and efficient RF transmission of ECG data for improved patient privacy and healthcare data management.

Main Methods:

• Utilized a multi-scroll chaotic system for ECG signal encryption via master-slave synchronization.
• Employed an extended state observer for decryption at the remote slave system.
• Achieved synchronization using Lyapunov criteria for system stability.
• Integrated Orthogonal Frequency Division Multiplexing (OFDM) and adaptive n-quadrature amplitude modulation (n-QAM) for signal discretization.

Main Results:

• Experimental validation confirmed the system's effectiveness in preventing channel overlap during 2.5 GHz transmissions.
• Demonstrated robust and efficient RF transmission of encrypted ECG data.
• Successfully monitored transmission quality using commercial RF Power Amplifier (RF-PA) and development board.

Conclusions:

• The proposed chaotic encryption system provides a secure and efficient solution for wireless transmission of sensitive medical information in telemedicine.
• This approach offers potential for broader applications in modern healthcare, ensuring reliable data security.