Long term EIT based compliance monitoring in COVID-19 patients

Isasa Reinoso, Imanol

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Title

Long term EIT based compliance monitoring in COVID-19 patients

Author

Isasa Reinoso, Imanol Mondragon Unibertsitatea

Author (from another institution)

Chen, Rongquing

Lovas, Andras

Möeller, Knut

xmlui.dri2xhtml.METS-1.0.item-contributorOtherinstitution

https://ror.org/02m11x738
Kiskunhalas Semmelweis Hospital

Version

http://purl.org/coar/version/c_970fb48d4fbd8a85

Rights

Access

http://purl.org/coar/access_right/c_abf2

xmlui.dri2xhtml.METS-1.0.item-publicationfirstpage

323

xmlui.dri2xhtml.METS-1.0.item-publicationlastpage

326

Publisher

De Gruyter

Keywords

Electrical Impedance Tomography
phenotype
lung compliance
COVID-19 pneumonia

Abstract

The COVID-19 is a viral infection that causes respiratory complications. Infected lungs often present ground glass opacities, thus suggesting that medical imaging technologies could provide useful information for the disease diagnosis, treatment, and posterior recovery. The Electrical Impedance Tomography (EIT) is a non-invasive, radiationfree, and continuous technology that generates images by using a sequence of current injections and voltage measurements around the body, making it very appropriate for the study to monitor the regional behaviour of the lung. Moreover, this tool could also be used for a preliminary COVID-19 phenotype classification of the patients. This study is based on the monitoring of lung compliances of two COVID-19-infected patients: the results indicate that one of them could belong to the H-type, while the other is speculated belongs to L-type. It has been concluded that the EIT is a useful tool to obtain information regarding COVID-19 patients and could also be used to classify different phenotypes. [-]