Data Transmission Enhancement Using Optimal Coding Technique Over In Vivo Channel for Interbody Communication

Area of Science:

• Biomedical Engineering
• Wireless Communications
• Medical Devices

Background:

• Wireless in vivo medical devices enable scalable, cost-effective wearable integration and continuous health monitoring.
• In vivo wireless body area networks reduce invasiveness and allow for long-term patient data collection.
• Significant signal fading in in vivo channels, caused by body tissues, necessitates robust communication solutions.

Purpose of the Study:

• To investigate the effectiveness of channel coding techniques for improving data transmission performance in wireless in vivo communication channels.
• To compare the performance of Turbo codes, Convolutional codes, and polar codes in overcoming in vivo channel impairments.

Main Methods:

• Simulations were conducted using a 50 MHz bandwidth at Ultra-Wideband frequencies (3.10-10.60 GHz).
• The performance of Turbo codes, Convolutional codes, and polar codes was evaluated for wireless in vivo communication.
• Bit error rate was used as the primary metric for performance comparison.

Main Results:

• Optimal channel coding significantly improves data transmission performance over the in vivo channel.
• Turbo codes demonstrated superior performance compared to polar and convolutional codes in terms of bit error rate.
• Increasing information block length showed similar performance across different coding approaches.

Conclusions:

• Channel coding is a viable solution for enhancing efficiency and overcoming inter-symbol interference in wireless in vivo communications.
• Turbo codes are the most effective among the tested methods for the in vivo channel.
• The in vivo channel exhibits lower performance than the Rayleigh channel due to the complex biological structure.