Long term EIT based compliance monitoring in COVID-19 patients
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 Tomo...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2021-10-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2021-2082 |
| _version_ | 1797989337930924032 |
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| author | Isasa Reinoso Imanol Chen Rongqing Lovas András Moeller Knut |
| author_facet | Isasa Reinoso Imanol Chen Rongqing Lovas András Moeller Knut |
| author_sort | Isasa Reinoso Imanol |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T08:17:34Z |
| format | Article |
| id | doaj.art-f8e7e8cc5c5f44c4a2c09546799f4ea0 |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-04-11T08:17:34Z |
| publishDate | 2021-10-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-f8e7e8cc5c5f44c4a2c09546799f4ea02022-12-22T04:35:04ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042021-10-017232332610.1515/cdbme-2021-2082Long term EIT based compliance monitoring in COVID-19 patientsIsasa Reinoso Imanol0Chen Rongqing1Lovas András2Moeller Knut3Biomedical Engineering Department, Mondragon Unibertsitatea, 20500 Mondragón, Spain and Institute of Technical Medicine, Furtwangen University,Villingen-Schwenningen, GermanyInstitute of Technical Medicine, Furtwangen University,Villingen-Schwenningen, GermanyKiskunhalas Semmelweis Hospital, Department of Anaesthesiology and Intensive Therapy, H-6400, Dr.MonszpartL. u. 1, HungaryInstitute of Technical Medicine, Furtwangen University,Villingen-Schwenningen, GermanyThe 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.https://doi.org/10.1515/cdbme-2021-2082electrical impedance tomographyphenotypelung compliancecovid-19 pneumonia |
| spellingShingle | Isasa Reinoso Imanol Chen Rongqing Lovas András Moeller Knut Long term EIT based compliance monitoring in COVID-19 patients Current Directions in Biomedical Engineering electrical impedance tomography phenotype lung compliance covid-19 pneumonia |
| title | Long term EIT based compliance monitoring in COVID-19 patients |
| title_full | Long term EIT based compliance monitoring in COVID-19 patients |
| title_fullStr | Long term EIT based compliance monitoring in COVID-19 patients |
| title_full_unstemmed | Long term EIT based compliance monitoring in COVID-19 patients |
| title_short | Long term EIT based compliance monitoring in COVID-19 patients |
| title_sort | long term eit based compliance monitoring in covid 19 patients |
| topic | electrical impedance tomography phenotype lung compliance covid-19 pneumonia |
| url | https://doi.org/10.1515/cdbme-2021-2082 |
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