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Unai Irusta

Showing results (1-10 of 46) with videos related to

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Journal of Thoracic Disease|February 24, 2016
To interrupt, or not to interrupt chest compressions for ventilation: that is the question!Elisabete Aramendi, Unai Irusta
Resuscitation|September 1, 2009
An algorithm to discriminate supraventricular from ventricular tachycardia in automated external defibrillators valid for adult and paediatric patientsUnai Irusta, Jesús Ruiz
Resuscitation|August 25, 2010
Cardiopulmonary resuscitation artefact suppression using a Kalman filter and the frequency of chest compressions as the reference signalJesus Ruiz, Unai Irusta, Sofia Ruiz de Gauna, et al.
Entropy (Basel, Switzerland)|July 2, 2021
A Machine Learning Model for the Prognosis of Pulseless Electrical Activity during Out-of-Hospital Cardiac ArrestJon Urteaga, Elisabete Aramendi, Andoni Elola, et al.
Physiological Measurement|June 20, 2020
Restoration of the electrocardiogram during mechanical cardiopulmonary resuscitationIraia Isasi, Unai Irusta, Elisabete Aramendi, et al.
IEEE Transactions on Bio-Medical Engineering|October 12, 2020
Multimodal Algorithms for the Classification of Circulation States During Out-of-Hospital Cardiac ArrestAndoni Elola, Elisabete Aramendi, Unai Irusta, et al.
Resuscitation|March 6, 2019
Value of capnography to predict defibrillation success in out-of-hospital cardiac arrestBeatriz Chicote, Elisabete Aramendi, Unai Irusta, et al.
Entropy (Basel, Switzerland)|December 8, 2020
Towards the Prediction of Rearrest during Out-of-Hospital Cardiac ArrestAndoni Elola, Elisabete Aramendi, Enrique Rueda, et al.
IEEE Transactions on Bio-Medical Engineering|January 20, 2009
A least mean-square filter for the estimation of the cardiopulmonary resuscitation artifact based on the frequency of the compressionsUnai Irusta, Jesús Ruiz, Sofía Ruiz de Gauna, et al.
Entropy (Basel, Switzerland)|December 8, 2020
Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural NetworksIraia Isasi, Unai Irusta, Elisabete Aramendi, et al.
Pageof 5

Showing results (1-10 of 46) with videos related to

Sort By:
Pageof 5
Journal of Thoracic Disease|February 24, 2016
To interrupt, or not to interrupt chest compressions for ventilation: that is the question!Elisabete Aramendi, Unai Irusta
Resuscitation|September 1, 2009
An algorithm to discriminate supraventricular from ventricular tachycardia in automated external defibrillators valid for adult and paediatric patientsUnai Irusta, Jesús Ruiz
Resuscitation|August 25, 2010
Cardiopulmonary resuscitation artefact suppression using a Kalman filter and the frequency of chest compressions as the reference signalJesus Ruiz, Unai Irusta, Sofia Ruiz de Gauna, et al.
Entropy (Basel, Switzerland)|July 2, 2021
A Machine Learning Model for the Prognosis of Pulseless Electrical Activity during Out-of-Hospital Cardiac ArrestJon Urteaga, Elisabete Aramendi, Andoni Elola, et al.
Physiological Measurement|June 20, 2020
Restoration of the electrocardiogram during mechanical cardiopulmonary resuscitationIraia Isasi, Unai Irusta, Elisabete Aramendi, et al.
IEEE Transactions on Bio-Medical Engineering|October 12, 2020
Multimodal Algorithms for the Classification of Circulation States During Out-of-Hospital Cardiac ArrestAndoni Elola, Elisabete Aramendi, Unai Irusta, et al.
Resuscitation|March 6, 2019
Value of capnography to predict defibrillation success in out-of-hospital cardiac arrestBeatriz Chicote, Elisabete Aramendi, Unai Irusta, et al.
Entropy (Basel, Switzerland)|December 8, 2020
Towards the Prediction of Rearrest during Out-of-Hospital Cardiac ArrestAndoni Elola, Elisabete Aramendi, Enrique Rueda, et al.
IEEE Transactions on Bio-Medical Engineering|January 20, 2009
A least mean-square filter for the estimation of the cardiopulmonary resuscitation artifact based on the frequency of the compressionsUnai Irusta, Jesús Ruiz, Sofía Ruiz de Gauna, et al.
Entropy (Basel, Switzerland)|December 8, 2020
Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural NetworksIraia Isasi, Unai Irusta, Elisabete Aramendi, et al.
Pageof 5