1EPS Sistemas embebidos y sistemas inteligentes para sistemas industriales
Ámbito de investigación
Unai
Irusta Zarandona
Publicaciones en las que colabora con Unai Irusta Zarandona (37)
2021
2020
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Shock Decision Algorithms for Automated External Defibrillators Based on Convolutional Networks
IEEE Access, Vol. 8, pp. 154746-154758
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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Algoritmo basado en redes neuronales recurrentes para la detección de ritmos desfibrilables
Hacia una salud personalizada y universal. XXXVII Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Actas del Congreso CASEIB 2019
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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
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Value of capnography to predict defibrillation success in out-of-hospital cardiac arrest
Resuscitation, Vol. 138, pp. 74-81
2018
2017
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Predicción del éxito de la desfibrilación mediante entropía difusa en términos de recuperación de ritmo cardíaco regular, pulso y supervivencia
XXXV Congreso anual de la Sociedad Española de Ingeniería Biomédica: Libro de actas
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Removing piston-driven mechanical chest compression artefacts from the ECG
Computing in Cardiology
2016
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Análisis de la influencia de la amplitud de la fibrilación ventricular en los predictores del éxito de la desfibrilación
CASEIB 2016 XXXIV Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Libro de actas
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Application of entropy-based features to predict defibrillation outcome in cardiac arrest
Entropy, Vol. 18, Núm. 9
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Circulation detection using the electrocardiogram and the thoracic impedance acquired by defibrillation pads
Resuscitation, Vol. 99, pp. 56-62
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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
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Nonlinear energy operators for defibrillation shock outcome prediction
Computing in Cardiology
2015
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A method to measure ventilation rate during cardiopulmonary resuscitation using the capnogram
Computing in Cardiology
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Fully automatic rhythm analysis during chest compression pauses
Resuscitation, Vol. 89, Núm. C, pp. 25-30
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Sample entropy as a shock outcome predictor during basis life support
Computing in Cardiology