Automatic Detection of Ventilations During Mechanical Cardiopulmonary Resuscitation.
Journal
IEEE journal of biomedical and health informatics
ISSN: 2168-2208
Titre abrégé: IEEE J Biomed Health Inform
Pays: United States
ID NLM: 101604520
Informations de publication
Date de publication:
09 2020
09 2020
Historique:
pubmed:
25
1
2020
medline:
25
9
2021
entrez:
25
1
2020
Statut:
ppublish
Résumé
Feedback on chest compressions and ventilations during cardiopulmonary resuscitation (CPR) is important to improve survival from out-of-hospital cardiac arrest (OHCA). The thoracic impedance signal acquired by monitor-defibrillators during treatment can be used to provide feedback on ventilations, but chest compression components prevent accurate detection of ventilations. This study introduces the first method for accurate ventilation detection using the impedance while chest compressions are concurrently delivered by a mechanical CPR device. A total of 423 OHCA patients treated with mechanical CPR were included, 761 analysis intervals were selected which in total comprised 5 884 minutes and contained 34 864 ventilations. Ground truth ventilations were determined using the expired CO
Identifiants
pubmed: 31976918
doi: 10.1109/JBHI.2020.2967643
pmc: PMC7537815
mid: NIHMS1626102
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
2580-2588Subventions
Organisme : NHLBI NIH HHS
ID : U01 HL077887
Pays : United States
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