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Towards continuous EIT monitoring for hemorrhagic stroke patients

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dc.contributor.author Ouypornkochagorn T.
dc.contributor.author Polydorides N.
dc.contributor.author McCann H.
dc.contributor.other Srinakharinwirot University
dc.date.accessioned 2023-11-15T02:08:37Z
dc.date.available 2023-11-15T02:08:37Z
dc.date.issued 2023
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153065931&doi=10.3389%2ffphys.2023.1157371&partnerID=40&md5=4c4c06647691a714068b0ababb6b72a9
dc.identifier.uri https://ir.swu.ac.th/jspui/handle/123456789/29436
dc.description.abstract The practical implementation of continuous monitoring of stroke patients by Electrical Impedance Tomography (EIT) is addressed. In a previous paper, we have demonstrated EIT sensitivity to cerebral hemodynamics, using scalp-mounted electrodes, very low-noise measurements, and a novel image reconstruction method. In the present paper, we investigate the potential to adapt that system for clinical application, by using 50% fewer electrodes and by incorporating into the measurement protocol an additional high-frequency measurement to provide an effective reference. Previously published image reconstruction methods for multi-frequency EIT are substantially improved by exploiting the forward calculations enabled by the detailed head model, particularly to make the referencing method more robust and to attempt to remove the effects of modelling error. Images are presented from simulation of a typical hemorrhagic stroke and its growth. These results are encouraging for exploration of the potential clinical benefit of the methodology in long-term monitoring of hemorrhagic stroke. Copyright © 2023 Ouypornkochagorn, Polydorides and McCann.
dc.publisher Frontiers Media S.A.
dc.subject electrical impedance tomography
dc.subject image reconstruction
dc.subject low-noise
dc.subject multi-frequency
dc.subject simulation
dc.subject stroke
dc.title Towards continuous EIT monitoring for hemorrhagic stroke patients
dc.type Article
dc.rights.holder Scopus
dc.identifier.bibliograpycitation Frontiers in Physiology. Vol 14, No. (2023), p.-
dc.identifier.doi 10.3389/fphys.2023.1157371


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