U. Ayala

发表

Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators

Felipe Alonso-Atienza, Trygve Eftestøl, Unai Irusta, 2016, PloS one.

Filtering mechanical chest compression artefacts from out-of-hospital cardiac arrest data.

T. Eftestøl, J. Kramer-Johansen, E Aramendi, 2016, Resuscitation.

Feasibility of automated rhythm assessment in chest compression pauses during cardiopulmonary resuscitation.

T. Eftestøl, J. Kramer-Johansen, U Irusta, 2013, Resuscitation.

Automatic detection of chest compression pauses for rhythm analysis during 30:2 CPR in an ALS scenario

T. Eftestøl, J. Kramer-Johansen, U. Irusta, 2014 .

Use of the transthoracic impedance to determine CPR quality parameters

U. Irusta, E. Aramendi, U. Ayala, 2010 .

Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation

Ali Bahrami Rad, Trygve Eftestøl, Kjersti Engan, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Suppression of the respiration artefact and extraction of the cardiac component in the thoracic impedance recorded through defibrillation pads

E. Aramendi, U. Ayala, D. González-Otero, 2012, 2012 Computing in Cardiology.

Rhythm Analysis during Cardiopulmonary Resuscitation: Past, Present, and Future

Jesus Ruiz, Trygve Eftestøl, Unai Irusta, 2014, BioMed research international.

A high-temporal resolution algorithm to discriminate shockable from nonshockable rhythms in adults and children.

Sofía Ruiz de Gauna, Unai Irusta, Elisabete Aramendi, 2012, Resuscitation.

Evaluation of the reduction in time-to-defibrillation due to CPR artefact suppression in long duration out-of-hospital cardiac arrest

U. Irusta, E. Aramendi, U. Ayala, 2011, 2011 Computing in Cardiology.

Chest compression rate feedback based on transthoracic impedance.

Sofía Ruiz de Gauna, Jesus Ruiz, Trygve Eftestøl, 2015, Resuscitation.

Fully automatic rhythm analysis during chest compression pauses.

T. Eftestøl, J. Kramer-Johansen, U Irusta, 2015, Resuscitation.

Reliability and accuracy of the thoracic impedance signal for measuring cardiopulmonary resuscitation quality metrics.

Sofía Ruiz de Gauna, Elisabete Aramendi, Erik Alonso, 2015, Resuscitation.

Comparison of time and frequency domain methods for the feedback on chest compression rate

Digna M. González-Otero, James K. Russell, Elisabete Aramendi, 2014, Computing in Cardiology 2014.

A New Method for Feedback on the Quality of Chest Compressions during Cardiopulmonary Resuscitation

Sofía Ruiz de Gauna, Unai Irusta, Erik Alonso, 2014, BioMed research international.

Automatic detection of chest compressions for the assessment of CPR-quality parameters.

E. Aramendi, U. Irusta, J. Kramer-Johansen, 2014, Resuscitation.

A Reliable Method for Rhythm Analysis during Cardiopulmonary Resuscitation

U. Irusta, F. Alonso-Atienza, J. Kramer-Johansen, 2014, BioMed research international.

Reliable extraction of the circulation component in the thoracic impedance measured by defibrillation pads.

T. Eftestøl, J. Kramer-Johansen, E Aramendi, 2013, Resuscitation.

Automatic detection of chest compression pauses using the transthoracic impedance signal

U. Ayala, E. Alonso, D. Gonzalez-Otero, 2012, 2012 Computing in Cardiology.

Suppression of the cardiopulmonary resuscitation artefacts using the instantaneous chest compression rate extracted from the thoracic impedance.

T. Eftestøl, J. Kramer-Johansen, E Aramendi, 2012, Resuscitation.

A Machine Learning Shock Decision Algorithm for Use During Piston-Driven Chest Compressions

Unai Irusta, Jo Kramer-Johansen, Iraia Isasi, 2019, IEEE Transactions on Biomedical Engineering.

A Multistage Algorithm for ECG Rhythm Analysis During Piston-Driven Mechanical Chest Compressions

Trygve Eftestøl, Unai Irusta, Jo Kramer-Johansen, 2019, IEEE Transactions on Biomedical Engineering.

An Accurate Shock Advise Algorithm for Use During Piston-Driven Chest Compressions

Trygve Eftestøl, Unai Irusta, Jo Kramer-Johansen, 2018, 2018 Computing in Cardiology Conference (CinC).

Direct evaluation of the effect of filtering the chest compression artifacts on the uninterrupted cardiopulmonary resuscitation time.

T. Eftestøl, U. Irusta, E. Aramendi, 2013, American Journal of Emergency Medicine.

Are dual-channel methods as accurate as multi-channel methods to suppress the CPR artifact?

J. Eilevstjønn, T. Eftestøl, U. Irusta, 2011, 2011 Computing in Cardiology.

Rhythm analysis during chest compressions: An artefact suppression method using the compression force as the reference signal

U. Irusta, U. Ayala, S. R. D. Gauna, 2010 .

Filtering the cardiopulmonary resuscitation artifact: Influence of the signal-to-noise-ratio on the accuracy of the shock advice algorithm

Jesus Ruiz, Unai Irusta, Unai Ayala, 2010, 2010 Computing in Cardiology.

Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia

Felipe Alonso-Atienza, Trygve Eftestøl, Unai Irusta, 2019, PloS one.

Can thoracic impedance monitor the depth of chest compressions during out-of-hospital cardiopulmonary resuscitation?

M. Daya, E. Aramendi, U. Ayala, 2014, Resuscitation.

Removing piston-driven mechanical chest compression artefacts from the ECG

Trygve Eftestøl, Unai Irusta, Jo Kramer-Johansen, 2017, 2017 Computing in Cardiology (CinC).

A new algorithm to diagnose during chest compressions: Effect on cardiopulmonary resuscitation delivery

Digna M. González-Otero, Trygve Eftestøl, Unai Irusta, 2013, Computing in Cardiology 2013.

Empirical mode decomposition for chest compression and ventilation detection in cardiac arrest

Digna M. González-Otero, James K. Russell, Elisabete Aramendi, 2014, Computing in Cardiology 2014.

Fully automatic rhythm analysis during chest compression pauses.

T. Eftestøl, J. Kramer-Johansen, U. Irusta, 2015, Resuscitation.

An alternative to derive the instantaneous frequency of the chest compressions to suppress the CPR Artifact

U. Irusta, E. Aramendi, U. Ayala, 2010, 2010 Computing in Cardiology.