Literature DB >> 16636412

Identification of a suitable current waveform for acute stroke imaging.

A Romsauerova1, A McEwan, D S Holder.   

Abstract

MFEIT (multi-frequency electrical impedance tomography) has the potential to provide a portable non-invasive neuroimaging method ideal for use in acute stroke. Skin perception has not previously occurred in MFEIT with injected frequencies above 2 kHz, but use in brain imaging requires applied current below 100 Hz, which could stimulate cutaneous nerve endings. The purpose of this work was to find the most suitable current pattern that could be employed in MFEIT measurements in the adult head with the UCLH Mk2.5 system, which applies currents from 20 Hz-1.6 MHz. Single frequency current waveforms of 0.28 mA peak-to-peak at 20 Hz-80 Hz were applied to the forearms of three volunteers; although the skin was abraded, none of these were perceived, which agrees with similar studies in the literature. When a full frequency pattern at 20 Hz-1.6 MHz was applied to the forearm or head in four healthy subjects, with the same current amplitude of 0.28 mA for each component, an unpleasant tingling sensation was perceived, due to summation of the applied currents. The sensation was reduced or abolished by attenuation or removal of frequencies below 100 Hz; the optimal compromise was a pattern with absence of 40 Hz, and with 80 and 20 Hz respectively reduced to 75% and 50%.

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Year:  2006        PMID: 16636412     DOI: 10.1088/0967-3334/27/5/S18

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


  5 in total

1.  Design of electrodes and current limits for low frequency electrical impedance tomography of the brain.

Authors:  O Gilad; L Horesh; D S Holder
Journal:  Med Biol Eng Comput       Date:  2007-06-28       Impact factor: 2.602

2.  The Frequency Spectral Properties of Electrode-Skin Contact Impedance on Human Head and Its Frequency-Dependent Effects on Frequency-Difference EIT in Stroke Detection from 10Hz to 1MHz.

Authors:  Lin Yang; Meng Dai; Canhua Xu; Ge Zhang; Weichen Li; Feng Fu; Xuetao Shi; Xiuzhen Dong
Journal:  PLoS One       Date:  2017-01-20       Impact factor: 3.240

Review 3.  Advances in electrical impedance tomography-based brain imaging.

Authors:  Xi-Yang Ke; Wei Hou; Qi Huang; Xue Hou; Xue-Ying Bao; Wei-Xuan Kong; Cheng-Xiang Li; Yu-Qi Qiu; Si-Yi Hu; Li-Hua Dong
Journal:  Mil Med Res       Date:  2022-02-28

4.  Electrical impedance imaging system using FPGAs for flexibility and interoperability.

Authors:  Harsh Sohal; Hun Wi; Alistair Lee McEwan; Eung Je Woo; Tong In Oh
Journal:  Biomed Eng Online       Date:  2014-08-30       Impact factor: 2.819

5.  System Description and First Application of an FPGA-Based Simultaneous Multi-Frequency Electrical Impedance Tomography.

Authors:  Susana Aguiar Santos; Anne Robens; Anna Boehm; Steffen Leonhardt; Daniel Teichmann
Journal:  Sensors (Basel)       Date:  2016-07-25       Impact factor: 3.576

  5 in total

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