ROBUST REPEATABLE MONITORING WITH EIT
Lead Research Organisation:
University of Edinburgh
Department Name: Sch of Engineering
Abstract
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Organisations
People |
ORCID iD |
Hugh McCann (Principal Investigator) |
Publications
Ouypornkochagorn T
(2019)
In Vivo Estimation of Head Tissue Conductivities Using Bound Constrained Optimization.
in Annals of biomedical engineering
Ouypornkochagorn T
(2022)
Scalp-Mounted Electrical Impedance Tomography of Cerebral Hemodynamics.
in IEEE sensors journal
Wright P
(2016)
A new EIT instrument for lung function monitoring
Description | First demonstration of imaging of cerebral haemodynamics by Electrical Impedance Tomography. Demonstration of World-leading performance of EIT for lung imaging. |
Exploitation Route | Multiple. |
Sectors | Healthcare |
Description | To design further EIT systems (e.g. multi-frequency) with further sensitivity and utility. The methods and data analysis carried out in this prioject work have led to a fundamentally new capability, viz. to image human cerebral haemodynamics by EIT using scalp-mounted electrodes, as published in an IEEE Sensors paper in 2022. This is a world first. We have subsequently demonstrated (by simulation) that haemorrhagic stroke can be monitored continuously, as published in a Frontiers paper in 2023. Work is now underway with clinicians to apply this methodology to stroke patients. |
First Year Of Impact | 2022 |
Sector | Healthcare,Pharmaceuticals and Medical Biotechnology |
Impact Types | Societal |