Why the study?
Automatic pulse detection during OHCA would allow rapid identification of cardiac arrest and prompt detection of return of spontaneous circulation.
Does a machine learning framework using ECG and thoracic impedance accurately detect pulse during out-of-hospital cardiac arrest?
Does a machine learning framework using ECG and thoracic impedance accurately detect pulse during out-of-hospital cardiac arrest?
A machine learning algorithm using ECG and thoracic impedance signals from defibrillators can reliably detect pulse during out-of-hospital cardiac arrest with high accuracy.
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May aid automated pulse detection in OHCA defibrillators; leaves open prospective validation before clinical use.
Alonso et al. (2020) studied this question.
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