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Related Experiment Video

Updated: Sep 28, 2025

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

Mohanad Ahmed Mezher1, Sadia Din2, Muhammad Ilyas1

  • 1Department of Electrical and Computer Engineering, Institute of Graduate Studies, Altinbas University, Istanbul, Turkey.

Big Data
|April 4, 2022
PubMed
Summary
This summary is machine-generated.

Wireless in vivo medical devices offer continuous health monitoring. This study found that Turbo codes significantly improve data transmission efficiency in these challenging body-channel communications, outperforming other coding methods.

Keywords:
bit error ratechannel codingdata analysisin vivopolarwireless body area networks

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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.