Registration of transthoracic impedance signal and ventilation volume data in out-of-hospital cardiac arrestMendeley Data
Studying ventilation during out-of-hospital cardiac arrest (OHCA) presents significant challenges due to the limited methods available for monitoring ventilation during Basic Life Support care. Researchers are increasingly focusing on transthoracic impedance (TTI) as a new means of investigating ven...
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Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-04-01
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Series: | Data in Brief |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925000770 |
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Summary: | Studying ventilation during out-of-hospital cardiac arrest (OHCA) presents significant challenges due to the limited methods available for monitoring ventilation during Basic Life Support care. Researchers are increasingly focusing on transthoracic impedance (TTI) as a new means of investigating ventilation.We employed manual ventilation monitoring devices to record cardiopulmonary resuscitation (CPR), ventilation volumes (Vvol) and TTI data. A registration of TTI with Vvol signals is performed. The Vvol are considered as the ground truth for ventilation detection in our dataset. The latter comprises data recorded during OHCA involving adult patients. Specifically, the data include TTI signals and automated external defibrillators (AED) analysis markers collected using Defigard Touch 7® AEDs (Schiller Medical, Wissembourg, France), as well as CPR Vvol recorded by manual ventilation monitoring devices (EOlife®, ARCHEON Medical, Besançon, France).The TTI signals and Vvol data that derived from the same OHCA can be registered. It allows better characterization of the TTI signal by identifying when TTI variations are caused by ventilations and distinguishing these from artifacts. This registration process allows to position the ventilation on TTI.The combination of TTI signals and Vvol data improves readability of CPR process, by providing a robust method to interpret TTI signals. |
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ISSN: | 2352-3409 |