File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Standalone electrical impedance tomography system can infer spirometric indices providing global and regional lung function assessment 

TitleStandalone electrical impedance tomography system can infer spirometric indices providing global and regional lung function assessment 
Authors
Issue Date11-Jul-2022
Abstract

Electrical impedance tomography (EIT) is a bio-medical imaging modality that has several clinical applications namely for human lungs. Yet, its relationship with gold standard lung diagnostic tools including spirometry is not available. In this study, simultaneous EIT and spirometry measurements were collected for 14 healthy subjects who performed forced breathing paradigms of different efforts simulating a wide range of spirometry indicators. It is demonstrated that EIT can predict standard spirometry indicators over a wide dynamic range, with a potential sensitivity and specificity of 98% and 100%, respectively, in detecting obstructive patterns. It is also shown that EIT can provide a regional mapping of the spirometry indicator which are shown to be consistent with their corresponding global indicators. Overall, EIT can predict spirometry indicators and can assess regional lung health through parametric mapping. Clinical Relevance- This study shows that EIT can infer standard spirometry indicators and potentially assess regional lung health. Therefore, EIT can be used for screening, diagnosis, and monitoring of obstructive and resistive lung diseases.


Persistent Identifierhttp://hdl.handle.net/10722/333920

 

DC FieldValueLanguage
dc.contributor.authorZouari, Fedi-
dc.contributor.authorOon, Wei Yi-
dc.contributor.authorModak, Dipyaman-
dc.contributor.authorKwok, Wang Chun-
dc.contributor.authorCao, Peng-
dc.contributor.authorLee, Wei-Ning-
dc.contributor.authorTam, Terence Chi Chun-
dc.contributor.authorWong, Eddie C-
dc.contributor.authorChan, Russell W-
dc.date.accessioned2023-10-06T08:40:15Z-
dc.date.available2023-10-06T08:40:15Z-
dc.date.issued2022-07-11-
dc.identifier.urihttp://hdl.handle.net/10722/333920-
dc.description.abstract<p>Electrical impedance tomography (EIT) is a bio-medical imaging modality that has several clinical applications namely for human lungs. Yet, its relationship with gold standard lung diagnostic tools including spirometry is not available. In this study, simultaneous EIT and spirometry measurements were collected for 14 healthy subjects who performed forced breathing paradigms of different efforts simulating a wide range of spirometry indicators. It is demonstrated that EIT can predict standard spirometry indicators over a wide dynamic range, with a potential sensitivity and specificity of 98% and 100%, respectively, in detecting obstructive patterns. It is also shown that EIT can provide a regional mapping of the spirometry indicator which are shown to be consistent with their corresponding global indicators. Overall, EIT can predict spirometry indicators and can assess regional lung health through parametric mapping. Clinical Relevance- This study shows that EIT can infer standard spirometry indicators and potentially assess regional lung health. Therefore, EIT can be used for screening, diagnosis, and monitoring of obstructive and resistive lung diseases.<br></p>-
dc.languageeng-
dc.relation.ispartof44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society - EMBC2022 (11/07/2022-15/07/2022, Glasgow)-
dc.titleStandalone electrical impedance tomography system can infer spirometric indices providing global and regional lung function assessment -
dc.typeConference_Paper-
dc.identifier.doi10.1109/EMBC48229.2022.9871104-
dc.identifier.scopuseid_2-s2.0-85138128782-
dc.identifier.volume2022-July-
dc.identifier.spage3277-
dc.identifier.epage3280-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats