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Tissue type determination by impedance measurement: a bipolar and monopolar comparison

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posted on 25.05.2016, 11:28 authored by Jack Sharp, Kaddour Bouazza-MaroufKaddour Bouazza-Marouf, Dorita Noronha, Atul Gaur
Background: In certain medical applications, it is necessary to be able to determine the position of a needle inside the body, specifically with regards to identifying certain tissue types. By measuring the electrical impedance of specific tissue types, it is possible to determine the type of tissue the tip of the needle (or probe) is at. Materials and Methods: Two methods have been investigated for electric impedance detection; bipolar and monopolar. Commercially available needle electrodes are of a monopolar type. Although many patents exist on the bipolar setups, these have not as yet been commercialized. This paper reports a comparison of monopolar and bipolar setups for tissue type determination. In vitro experiments were carried out on pork to compare this investigation with other investigations in this field. Results: The results show that both monopolar and bipolar setups are capable of determining tissue type. However, the bipolar setup showed slightly better results; the difference between the different soft tissue type impedances was greater compared to the monopolar method. Conclusion: Both monopolar and bipolar electrical impedance setups work very similarly in inhomogeneous volumes such as biological tissue. There is a clear potential for clinical applications with impedance‑based needle guidance, with both the monopolar and bipolar setups. It is, however, worth noting that the bipolar setup is more versatile.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Saudi Journal of Anaesthesia

Volume

11

Issue

1

Citation

SHARP, J. ... et al., 2017. Tissue type determination by impedance measurement: a bipolar and monopolar comparison. Saudi Journal of Anaesthesia, 11 (1), pp. 15-20.

Publisher

Wolters Kluwer / © Saudi Journal of Anesthesia

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-sa/3.0/

Publication date

2017

Notes

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

ISSN

1658-354X

eISSN

0975-3125

Language

en