Separating ventricular activity in thoracic EIT using 4D image-based FEM simulations
Abstract:
One challenge in central hemodynamic monitoring based on electrical impedance tomography (EIT) is to robustly detect ventricular signal components and the corresponding EIT image region without external monitoring information. Current stimulation and voltage measurement of EIT were simulated with finite element porcine torso models in presence of a multitude ofthoracic blood volume shifts. The simulated measurement data was examined for linear dependence on changes in stroke volume. Based onthe results the EIT measurement information regardingstroke volume changesis sparse.
| Zugehörige Institution(en) am KIT | Institut für Biomedizinische Technik (IBT) |
| Publikationstyp | Zeitschriftenaufsatz |
| Publikationsjahr | 2021 |
| Sprache | Englisch |
| Identifikator | ISSN: 2364-5504 KITopen-ID: 1000141734 |
| Erschienen in | Current Directions in Biomedical Engineering |
| Verlag | De Gruyter |
| Band | 7 |
| Heft | 2 |
| Seiten | 871-874 |
| Schlagwörter | electrical impedance tomography (EIT), stroke volume (SV), cardiac output (CO), pulmonary artery pressure (PAP), bioimpedance model, finite element method (FEM) |
| Nachgewiesen in | Scopus OpenAlex Dimensions |
| Globale Ziele für nachhaltige Entwicklung |