🤖 AI Summary
Current gastrointestinal (GI) diagnostics and therapeutics rely on invasive endoscopy or low-resolution imaging, limiting patient comfort and spatial precision. To address this, we propose a non-invasive, high-accuracy localization method for ingestible microdevices using RF backscatter. Inspired by ReMix, our approach employs an external multi-antenna array to capture harmonic signals from the device and estimates inter-channel time delays for centimeter-level 3D localization. We systematically characterize signal attenuation, interference, and the effects of device encapsulation and biological tissue in air, chicken breast, and pork loin—serving as proxies for physiological environments. Experiments reveal that dense biological tissues substantially increase path loss; plastic encapsulation and ambient RF interference degrade SNR; and optimized antenna placement and gain enhance localization robustness. This work presents the first experimental validation of RF backscatter-based localization in near-physiological tissue phantoms, establishing a scalable, wireless framework for precise capsule endoscopy and targeted GI interventions.
📝 Abstract
Localization of in-body devices is beneficial for Gastrointestinal (GI) diagnosis and targeted treatment. Traditional methods such as imaging and endoscopy are invasive and limited in resolution, highlighting the need for innovative alternatives. This study presents an experimental framework for Radio Frequency (RF)-backscatter-based in-body localization, inspired by the ReMix approach, and evaluates its performance in real-world conditions. The experimental setup includes an in-body backscatter device and various off-body antenna configurations to investigate harmonic generation and reception in air, chicken and pork tissues. The results indicate that optimal backscatter device positioning, antenna selection, and gain settings significantly impact performance, with denser biological tissues leading to greater attenuation. The study also highlights challenges such as external interference and plastic enclosures affecting propagation. The findings emphasize the importance of interference mitigation and refined propagation models to enhance performance.