Literature DB >> 21646709

Adjacent stimulation and measurement patterns considered harmful.

Andy Adler1, Pascal Olivier Gaggero, Yasheng Maimaitijiang.   

Abstract

We characterize the ability of electrical impedance tomography (EIT) to distinguish changes in internal conductivity distributions, and analyze it as a function of stimulation and measurement patterns. A distinguishability measure, z, is proposed which is related to the signal-to-noise ratio of a medium and to the probability of detection of conductivity changes in a region of interest. z is a function of the number of electrodes, the EIT stimulation and measurement protocol, the stimulation amplitude, the measurement noise, and the size and location of the contrasts. Using this measure we analyze various choices of stimulation and measurement patterns under the constraint of medical electrical safety limits (maximum current into the body). Analysis is performed for a planar placement of 16 electrodes for simulated 3D tank and chest shapes, and measurements in a saline tank. Results show that the traditional (and still most common) adjacent stimulation and measurement patterns have by far the poorest performance (by 6.9 ×). Good results are obtained for trigonometric patterns and for pair drive and measurement patterns separated by over 90°. Since the possible improvement over adjacent patterns is so large, we present this result as a call to action: adjacent patterns are harmful, and should be abandoned. We recommend using pair drive and measurement patterns separated by one electrode less than 180°. We describe an approach to modify an adjacent pattern EIT system by adjusting electrode placement.

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Year:  2011        PMID: 21646709     DOI: 10.1088/0967-3334/32/7/S01

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  11 in total

1.  Evaluation of measurement and stimulation patterns in open electrical impedance tomography with scanning electrode.

Authors:  Jinzhen Liu; Hui Xiong; Ling Lin; Gang Li
Journal:  Med Biol Eng Comput       Date:  2015-03-13       Impact factor: 2.602

2.  Optimization of the electrode drive pattern for imaging fascicular compound action potentials in peripheral nerve with fast neural electrical impedance tomography.

Authors:  Enrico Ravagli; Svetlana Mastitskaya; Nicole Thompson; Kirill Aristovich; David Holder
Journal:  Physiol Meas       Date:  2019-12-03       Impact factor: 2.833

3.  Electrical impedance tomography of electrolysis.

Authors:  Arie Meir; Boris Rubinsky
Journal:  PLoS One       Date:  2015-06-03       Impact factor: 3.240

4.  Variability in EIT Images of Lung Ventilation as a Function of Electrode Planes and Body Positions.

Authors:  Jie Zhang; Robert Patterson
Journal:  Open Biomed Eng J       Date:  2014-06-27

Review 5.  Electrical Impedance Tomography for Cardio-Pulmonary Monitoring.

Authors:  Christian Putensen; Benjamin Hentze; Stefan Muenster; Thomas Muders
Journal:  J Clin Med       Date:  2019-08-07       Impact factor: 4.241

6.  Measurement-Based Domain Parameter Optimization in Electrical Impedance Tomography Imaging.

Authors:  Jan Dusek; Jan Mikulka
Journal:  Sensors (Basel)       Date:  2021-04-03       Impact factor: 3.576

7.  Electrical impedance tomography for non-invasive identification of fatty liver infiltrate in overweight individuals.

Authors:  Chih-Chiang Chang; Zi-Yu Huang; Shu-Fu Shih; Yuan Luo; Arthur Ko; Qingyu Cui; Jennifer Sumner; Susana Cavallero; Swarna Das; Wei Gao; Janet Sinsheimer; Alex Bui; Jonathan P Jacobs; Päivi Pajukanta; Holden Wu; Yu-Chong Tai; Zhaoping Li; Tzung K Hsiai
Journal:  Sci Rep       Date:  2021-10-06       Impact factor: 4.996

8.  Recommended implementation of electrical resistance tomography for conductivity mapping of metallic nanowire networks using voltage excitation.

Authors:  Alessandro Cultrera; Gianluca Milano; Natascia De Leo; Carlo Ricciardi; Luca Boarino; Luca Callegaro
Journal:  Sci Rep       Date:  2021-06-23       Impact factor: 4.379

9.  Structural-functional lung imaging using a combined CT-EIT and a Discrete Cosine Transformation reconstruction method.

Authors:  Benjamin Schullcke; Bo Gong; Sabine Krueger-Ziolek; Manuchehr Soleimani; Ullrich Mueller-Lisse; Knut Moeller
Journal:  Sci Rep       Date:  2016-05-16       Impact factor: 4.379

10.  Non-Invasive Electrical Impedance Tomography for Multi-Scale Detection of Liver Fat Content.

Authors:  Yuan Luo; Parinaz Abiri; Shell Zhang; Chih-Chiang Chang; Amir H Kaboodrangi; Rongsong Li; Ashish K Sahib; Alex Bui; Rajesh Kumar; Mary Woo; Zhaoping Li; René R Sevag Packard; Yu-Chong Tai; Tzung K Hsiai
Journal:  Theranostics       Date:  2018-02-08       Impact factor: 11.556

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