C-EIT – Unsupervised Identification of Heart and Lungs Function using Electrical Impedance Tomography

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dc.contributor.authorFerrario, Damien
dc.contributor.authorSolà, Josep
dc.contributor.authorAdler, Andy
dc.contributor.authorBöhm, Stephan H.
dc.date.accessioned2025-11-17T06:48:37Z
dc.date.available2025-11-17T06:48:37Z
dc.date.issued2010
dc.description.abstractEIT is a candidate technology for the non-invasive monitoring of cardio- and respiratory functions in humans. By placing a set of electrodes around the chest EIT generates conductivity images of the thoracic cavity. The analysis of sequences of EIT images generated along several cardiac and respiratory cycles is the main focus of this research activity. The objective is to obtain impedance curves that represent heart and lung function non-invasively. As a first step, an unsupervised method that automatically identifies heart and lungs within an EIT image sequence has been developed. The accuracy of the method is currently being tested on pigs, supported by simultaneously acquired computed tomography (CT) images.
dc.identifier.citationCSEM Scientific and Technical Report 2010, p. 14
dc.identifier.urihttps://hdl.handle.net/20.500.12839/1853
dc.titleC-EIT – Unsupervised Identification of Heart and Lungs Function using Electrical Impedance Tomography
dc.typeCSEM Report
dc.type.csemdivisionsBU-D
dc.type.csemresearchareasDigital Health
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