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Experimental Analysis of Microbubble Propagation for In-Body Data Transmission

Annika Tjabben, Lea Bergkemper, Carolin Conrad, Michael Gundall, Hans D. Schotten

Abstract

In-body communication is an upcoming field with significant implications for medical diagnostics and therapeutic interventions. Microbubbles have gained attention due to their distinct physical properties, making them promising candidates to facilitate communication within the human body. This work explores the use of microbubbles as communication carriers, with a particular focus on their detection and the application of a modulation scheme. Through experimental analysis the feasibility and effectiveness of microbubble-based communication is tested. Filtering and peak detection methods are applied to accurately identify the presence of microbubbles despite noise, demonstrating the feasibility of microbubble-based communication systems for future biomedical applications. The results offer insights into signal integrity, noise challenges, and the optimization of detection algorithms, providing a foundation for future advancements in this field.

Experimental Analysis of Microbubble Propagation for In-Body Data Transmission

Abstract

In-body communication is an upcoming field with significant implications for medical diagnostics and therapeutic interventions. Microbubbles have gained attention due to their distinct physical properties, making them promising candidates to facilitate communication within the human body. This work explores the use of microbubbles as communication carriers, with a particular focus on their detection and the application of a modulation scheme. Through experimental analysis the feasibility and effectiveness of microbubble-based communication is tested. Filtering and peak detection methods are applied to accurately identify the presence of microbubbles despite noise, demonstrating the feasibility of microbubble-based communication systems for future biomedical applications. The results offer insights into signal integrity, noise challenges, and the optimization of detection algorithms, providing a foundation for future advancements in this field.
Paper Structure (12 sections, 10 equations, 3 figures, 2 tables)

This paper contains 12 sections, 10 equations, 3 figures, 2 tables.

Figures (3)

  • Figure 1: Schematic representation of data transmission via microbubbles.
  • Figure 2: Setup for Microbubble Injection and Detection (1: Siemens S7-1500 PLC, 2: Water Tank, 3: Water Pump, 4: Syringe for Microbubble Injection, 5: Bubble Sensor).
  • Figure 3: Captured Utrasound Data for a Periodic Injection of Microbubbles.