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Mutual Inductance

Mutual Inductance

Inductance is the property of a device that tells us how effectively it induces an emf in another device. In other words, it is a physical quantity that expresses the effectiveness of a given device.
When two circuits carrying time-varying currents are close to one another, the magnetic flux through each circuit varies because of the changing current in the other circuit. Consequently, an emf is induced in each circuit by the changing current in the other. Therefore, this type of emf is called...

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Related Experiment Video

Updated: May 6, 2026

Fabrication and Implantation of Miniature Dual-element Strain Gages for Measuring In Vivo Gastrointestinal Contractions in Rodents.

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High Accuracy Localization for Miniature Ingestible Devices Using Mutual Inductance.

Lichen Yao, Sadeque Reza Khan, Guido Dolmans

IEEE Transactions on Biomedical Circuits and Systems

|February 2, 2024

Summary

This study presents a new localization system for miniature ingestible devices using inductive coupling. It achieves sub-centimeter accuracy, crucial for internal medical diagnostics and tracking.

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Area of Science:

Biomedical Engineering
Medical Devices
Localization Systems

Background:

Accurate localization of miniature ingestible devices is critical for internal medical diagnostics and monitoring.
Existing systems face challenges with power consumption and size constraints for internal components.
Inductive coupling offers a potential solution for external power and communication, but requires precise system design.

Purpose of the Study:

To develop and validate a high-accuracy localization system for miniature ingestible devices using inductive coupling.
To model system errors and identify key design parameters for achieving specific localization accuracy targets.
To demonstrate the feasibility of sub-centimeter localization accuracy within the human gastrointestinal tract.

Main Methods:

Implementation of an inductance double capacitances-series capacitance (LCC-S) compensation architecture for mutual inductance measurement.
Development of a detailed error model to guide system design and performance analysis.
Utilizing three primary and three secondary coils with an 18-bit external Analog-to-Digital Converter (ADC).
Verification through simulations and experiments using a 0.9% saline phantom to mimic human tissue.

Main Results:

Achieved sub-centimeter localization root-mean-square error (RMSE).
Demonstrated that the human body does not significantly influence localization accuracy up to 5 MHz.
Showcased the system's effectiveness along a realistic small intestine tract model.
Validated the proposed error model through experimental and simulation results.

Conclusions:

The proposed inductively coupled system enables high-accuracy localization for miniature ingestible devices.
The LCC-S architecture effectively minimizes power and area requirements for the ingestible component.
The developed error model provides a robust framework for designing future ingestible localization systems with targeted accuracy.