about
Rhythm analysis during cardiopulmonary resuscitation: past, present, and futureFiltering mechanical chest compression artefacts from out-of-hospital cardiac arrest data.A new method for feedback on the quality of chest compressions during cardiopulmonary resuscitationMachine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators.Automatic detection of chest compressions for the assessment of CPR-quality parameters.A reliable method for rhythm analysis during cardiopulmonary resuscitation.Fully automatic rhythm analysis during chest compression pauses.Reliability and accuracy of the thoracic impedance signal for measuring cardiopulmonary resuscitation quality metrics.Direct evaluation of the effect of filtering the chest compression artifacts on the uninterrupted cardiopulmonary resuscitation time.Chest compression rate feedback based on transthoracic impedance.Reliable extraction of the circulation component in the thoracic impedance measured by defibrillation pads.Feasibility of automated rhythm assessment in chest compression pauses during cardiopulmonary resuscitation.A high-temporal resolution algorithm to discriminate shockable from nonshockable rhythms in adults and children.Suppression of the cardiopulmonary resuscitation artefacts using the instantaneous chest compression rate extracted from the thoracic impedance.Can thoracic impedance monitor the depth of chest compressions during out-of-hospital cardiopulmonary resuscitation?A Multistage Algorithm for ECG Rhythm Analysis During Piston-Driven Mechanical Chest CompressionsMixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia.
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description
investigador
@es
researcher
@en
name
U Ayala
@en
type
label
U Ayala
@en
prefLabel
U Ayala
@en
P31
P496
0000-0003-1079-752X