ROBUST REPEATABLE MONITORING WITH EIT
Lead Research Organisation:
University of Edinburgh
Department Name: Sch of Engineering
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Organisations
People |
ORCID iD |
| Hugh McCann (Principal Investigator) |
Publications
Ahsan S T
(2017)
Distinguishability-to-noise ratio (DNR), a parameter to determine the discriminating capability of an EIT instrument
in GE-International Journal of Engineering Research
Crabb M
(2014)
Mutual information as a measure of image quality for 3D dynamic lung imaging with EIT
in Physiological Measurement
Liu S
(2020)
Time Sequence Learning for Electrical Impedance Tomography Using Bayesian Spatiotemporal Priors
in IEEE Transactions on Instrumentation and Measurement
Ouypornkochagorn T
(2015)
Electrical Impedance Measurement of Cerebral Haemodynamics
Ouypornkochagorn T
(2019)
A Comparison of Bound-Constrained and Positivity-Constrained Optimization Method to Estimate Head Tissue Conductivities by Scalp Voltage Information
in International journal of electrical and computer engineering systems
Ouypornkochagorn T
(2022)
Scalp-Mounted Electrical Impedance Tomography of Cerebral Hemodynamics.
in IEEE sensors journal
| 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. |
| First Year Of Impact | 2017 |
| Sector | Healthcare |
| Impact Types | Economic |