Literature DB >> 33317181

Self-Abrading Servo Electrode Helmet for Electrical Impedance Tomography.

James Avery1,2, Brett Packham2, Hwan Koo2, Ben Hanson3, David Holder2.   

Abstract

Electrical Impedance Tomography (EIT) is a medical imaging technique which has the potential to reduce time to treatment in acute stroke by rapidly differentiating between ischaemic and haemorrhagic stroke. The potential of these methods has been demonstrated in simulation and phantoms, it has not yet successfully translated to clinical studies, due to high sensitivity to errors in scalp electrode mislocation and poor electrode-skin contact. To overcome these limitations, a novel electrode helmet was designed, bearing 32 independently controlled self-abrading electrodes. The contact impedance was reduced through rotation on an abrasive electrode on the scalp using a combined impedance, rotation and position feedback loop. Potentiometers within each unit measure the electrode tip displacement within 0.1 mm from the rigid helmet body. Characterisation experiments on a large-scale test rig demonstrated that approximately 20 kPa applied pressure and 5 rotations was necessary to achieve the target 5 kΩ contact impedance at 20 Hz. This performance was then replicated in a simplified self-contained unit where spring loaded electrodes are rotated by servo motors. Finally, a 32-channel helmet and controller which sequentially minimised contact impedance and simultaneously located each electrode was built which reduced the electrode application and localisation time to less than five minutes. The results demonstrated the potential of this approach to rapidly apply electrodes in an acute setting, removing a significant barrier for imaging acute stroke with EIT.

Entities:  

Keywords:  bioimpedance electrodes; brain imaging; electrical impedance tomography; stroke

Mesh:

Year:  2020        PMID: 33317181      PMCID: PMC7763319          DOI: 10.3390/s20247058

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  41 in total

1.  Factors limiting the application of electrical impedance tomography for identification of regional conductivity changes using scalp electrodes during epileptic seizures in humans.

Authors:  L Fabrizi; M Sparkes; L Horesh; J F Perez-Juste Abascal; A McEwan; R H Bayford; R Elwes; C D Binnie; D S Holder
Journal:  Physiol Meas       Date:  2006-04-20       Impact factor: 2.833

2.  Number of cell layers of the stratum corneum in normal skin - relationship to the anatomical location on the body, age, sex and physical parameters.

Authors:  Z Ya-Xian; T Suetake; H Tagami
Journal:  Arch Dermatol Res       Date:  1999-10       Impact factor: 3.017

3.  In vivo bioimpedance measurement of healthy and ischaemic rat brain: implications for stroke imaging using electrical impedance tomography.

Authors:  T Dowrick; C Blochet; D Holder
Journal:  Physiol Meas       Date:  2015-05-26       Impact factor: 2.833

4.  Using a structured-light 3D scanner to improve EEG source modeling with more accurate electrode positions.

Authors:  Simon Homölle; Robert Oostenveld
Journal:  J Neurosci Methods       Date:  2019-07-31       Impact factor: 2.390

5.  High and dry? Comparing active dry EEG electrodes to active and passive wet electrodes.

Authors:  Kyle E Mathewson; Tyler J L Harrison; Sayeed A D Kizuk
Journal:  Psychophysiology       Date:  2017-01       Impact factor: 4.016

6.  Reproducible 3D printed head tanks for electrical impedance tomography with realistic shape and conductivity distribution.

Authors:  James Avery; Kirill Aristovich; Barney Low; David Holder
Journal:  Physiol Meas       Date:  2017-05-22       Impact factor: 2.833

7.  Active electrode IC for EEG and electrical impedance tomography with continuous monitoring of contact impedance.

Authors:  Marco Guermandi; Roberto Cardu; Eleonora Franchi Scarselli; Roberto Guerrieri
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2014-05-19       Impact factor: 3.833

8.  A novel multi-frequency electrical impedance tomography spectral imaging algorithm for early stroke detection.

Authors:  Lin Yang; Canhua Xu; Meng Dai; Feng Fu; Xuetao Shi; Xiuzhen Dong
Journal:  Physiol Meas       Date:  2016-11-29       Impact factor: 2.833

9.  A Preliminary Study on Precision Image Guidance for Electrode Placement in an EEG Study.

Authors:  Sangseo Jeon; Jongho Chien; Chanho Song; Jaesung Hong
Journal:  Brain Topogr       Date:  2017-12-04       Impact factor: 3.020

10.  Managing erroneous measurements of dynamic brain electrical impedance tomography after reconnection of faulty electrodes.

Authors:  Haoting Li; Xuechao Liu; Canhua Xu; Bin Yang; Danchen Fu; Xiuzhen Dong; Feng Fu
Journal:  Physiol Meas       Date:  2020-04-16       Impact factor: 2.833

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