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Bidirectional Electrical and Optoelectronic Interfaces in Healthy and Ischemic Ex Vivo Rat Hearts

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A multi-electrode array and inversion technique for retrieving six conductivities from heart potential measurements.

Barbara M Johnston¹, Peter R Johnston

¹School of Biomolecular and Physical Science, Queensland Micro- and Nanotechnology Centre, Griffith University, Nathan, QLD, 4111, Australia, Barbara.Johnston@griffith.edu.au.

Medical & Biological Engineering & Computing

|July 30, 2013

Summary

This study introduces a new method to accurately determine all six cardiac bidomain conductivity parameters, essential for understanding heart electrical activity. The technique successfully retrieves these values, improving upon previous methods that determined fewer parameters.

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Area of Science:

Biophysics
Computational Biology
Cardiovascular Science

Background:

Accurate cardiac bidomain conductivity parameters are vital for studying heart electrical function.
The bidomain model requires six conductivity values (longitudinal, transverse, normal in intracellular and extracellular domains).
Previous methods often assumed equality between transverse and normal conductivities, determining only four values.

Purpose of the Study:

To present a novel method for retrieving all six cardiac bidomain conductivity parameters.
To validate the method's accuracy using simulated, noisy electrical potential measurements.
To enable a more comprehensive understanding of cardiac electrical anisotropy.

Main Methods:

Development of a mathematical model and solution technique.
Utilization of a multi-electrode array for potential measurements.
Implementation of a two-pass inversion method to retrieve conductivity values.

Main Results:

Successful retrieval of all six cardiac bidomain conductivity parameters from simulated data.
Accurate determination of the fibre rotation angle was also achieved.
The accuracy of retrieving six parameters was comparable to previous studies retrieving only four.

Conclusions:

The presented method accurately determines all six cardiac bidomain conductivity parameters and fibre rotation angle.
This advancement offers a more complete characterization of cardiac electrical properties.
The findings have significant implications for computational electrophysiology and cardiac modeling.