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Rebecca J. Yerworth

Researcher at University College London

Publications -  36
Citations -  752

Rebecca J. Yerworth is an academic researcher from University College London. The author has contributed to research in topics: Electrical impedance tomography & Reconstruction algorithm. The author has an hindex of 12, co-authored 36 publications receiving 685 citations. Previous affiliations of Rebecca J. Yerworth include Middlesex University & Community College of Philadelphia.

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Journal ArticleDOI

Multi-frequency electrical impedance tomography (EIT) of the adult human head: initial findings in brain tumours, arteriovenous malformations and chronic stroke, development of an analysis method and calibration

TL;DR: This study has identified a specification for accuracy in EITS in acute stroke, identified the size of variability in relation to this in human recordings, and presents new methods for analysis of data.
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Design and calibration of a compact multi-frequency EIT system for acute stroke imaging

TL;DR: A new, compact UCLH Mk 2.5 EIT system has been developed and calibrated for EIT imaging of the head and is sufficient to image severe acute stroke according to the specification from recent detailed anatomical modelling.
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Generating accurate finite element meshes for the forward model of the human head in EIT.

TL;DR: In this paper a method for generating accurate FEMs of the human head is presented where MRI images are manually segmented using custom adaptation of industry standard commercial design software packages.
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Electrical impedance tomography spectroscopy (EITS) for human head imaging

TL;DR: A novel multif Frequency EIT design which provides up to 64 electrodes for imaging in the head is described which appears to have been an acceptable compromise between practicality and performance and will now be employed in clinical trials of multifrequency EIT in stroke, epilepsy and neonatal brain injury.
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Design and performance of the UCLH mark 1b 64 channel electrical impedance tomography (EIT) system, optimized for imaging brain function.

TL;DR: The UCLH Mark 1b EIT system has adequate performance to image impedance changes of 5-50% known to occur in the brain during normal activity, epilepsy or stroke; clinical trials to image these conditions are in progress.