Unai
Ayala Fernández
Publicaciones en las que colabora con Unai Ayala Fernández (35)
2019
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A Machine Learning Shock Decision Algorithm for Use During Piston-Driven Chest Compressions
IEEE Transactions on Biomedical Engineering, Vol. 66, Núm. 6, pp. 1752-1760
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A Multistage Algorithm for ECG Rhythm Analysis during Piston-Driven Mechanical Chest Compressions
IEEE Transactions on Biomedical Engineering, Vol. 66, Núm. 1, pp. 263-272
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Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia
PLoS ONE, Vol. 14, Núm. 5
2018
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An Accurate Shock Advise Algorithm for Use during Piston-Driven Chest Compressions
Computing in Cardiology
2017
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Removing piston-driven mechanical chest compression artefacts from the ECG
Computing in Cardiology
2016
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Filtering mechanical chest compression artefacts from out-of-hospital cardiac arrest data
Resuscitation, Vol. 98, pp. 41-47
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Machine learning techniques for the detection of shockable rhythms in automated external defibrillators
PLoS ONE, Vol. 11, Núm. 7
2015
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Chest compression rate feedback based on transthoracic impedance
Resuscitation, Vol. 93, pp. 82-88
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Fully automatic rhythm analysis during chest compression pauses
Resuscitation, Vol. 89, Núm. C, pp. 25-30
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Reliability and accuracy of the thoracic impedance signal for measuring cardiopulmonary resuscitation quality metrics
Resuscitation, Vol. 88, pp. 28-34
2014
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A New Method for Feedback on the Quality of Chest Compressions during Cardiopulmonary Resuscitation
BioMed Research International, Vol. 2014
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A reliable method for rhythm analysis during cardiopulmonary resuscitation
BioMed Research International, Vol. 2014
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Automatic detection of chest compressions for the assessment of CPR-quality parameters
Resuscitation, Vol. 85, Núm. 7, pp. 957-963
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Can thoracic impedance monitor the depth of chest compressions during out-of-hospital cardiopulmonary resuscitation?
Resuscitation, Vol. 85, Núm. 5, pp. 637-643
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Comparison of time and frequency domain methods for the feedback on chest compression rate
Computing in Cardiology
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Empirical mode decomposition for chest compression and ventilation detection in cardiac arrest
Computing in Cardiology
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Filtering chest compression artifacts improves the performance of VF-detection parameters
Computing in Cardiology
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Rhythm analysis during cardiopulmonary resuscitation: Past, present, and future
BioMed Research International, Vol. 2014