Machine learning and feature engineering for predicting pulse presence during chest compressions
Current resuscitation protocols require pausing chest compressions during cardiopulmonary resuscitation (CPR) to check for a pulse. However, pausing CPR when a patient is pulseless can worsen patient outcomes. Our objective was to design and evaluate an ECG-based algorithm that predicts pulse presen...
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| Auteurs principaux: | , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
The Royal Society
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/60d420c517094551a0cee642b8ab944b |
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