Hasil Pencarian - Unai Irusta

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  1. 1
    A Machine Learning Framework for Pulse Detection During Out-of-Hospital Cardiac Arrest

    A Machine Learning Framework for Pulse Detection During Out-of-Hospital Cardiac Arrest oleh Erik Alonso, Unai Irusta, Elisabete Aramendi, Mohamud R. Daya

    Diterbitkan 2020-01-01
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  2. 2
    A Machine Learning Model for the Prognosis of Pulseless Electrical Activity during Out-of-Hospital Cardiac Arrest

    A Machine Learning Model for the Prognosis of Pulseless Electrical Activity during Out-of-Hospital Cardiac Arrest oleh Jon Urteaga, Elisabete Aramendi, Andoni Elola, Unai Irusta, Ahamed Idris

    Diterbitkan 2021-06-01
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  3. 3
    Towards the Prediction of Rearrest during Out-of-Hospital Cardiac Arrest

    Towards the Prediction of Rearrest during Out-of-Hospital Cardiac Arrest oleh Andoni Elola, Elisabete Aramendi, Enrique Rueda, Unai Irusta, Henry Wang, Ahamed Idris

    Diterbitkan 2020-07-01
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  4. 4
    Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks

    Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks oleh Iraia Isasi, Unai Irusta, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik

    Diterbitkan 2020-05-01
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  5. 5
    Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest

    Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest oleh Andoni Elola, Elisabete Aramendi, Unai Irusta, Artzai Picón, Erik Alonso, Pamela Owens, Ahamed Idris

    Diterbitkan 2019-03-01
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  6. 6
    Shock Decision Algorithms for Automated External Defibrillators Based on Convolutional Networks

    Shock Decision Algorithms for Automated External Defibrillators Based on Convolutional Networks oleh Xabier Jaureguibeitia, Gorka Zubia, Unai Irusta, Elisabete Aramendi, Beatriz Chicote, Daniel Alonso, Andima Larrea, Carlos Corcuera

    Diterbitkan 2020-01-01
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  7. 7
    Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest

    Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest oleh Beatriz Chicote, Unai Irusta, Raúl Alcaraz, José Joaquín Rieta, Elisabete Aramendi, Iraia Isasi, Daniel Alonso, Karlos Ibarguren

    Diterbitkan 2016-08-01
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  8. 8
    Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions

    Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions oleh Iraia Isasi, Unai Irusta, Ali Bahrami Rad, Elisabete Aramendi, Morteza Zabihi, Trygve Eftestol, Jo Kramer-Johansen, Lars Wik

    Diterbitkan 2019-01-01
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  9. 9
    Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators.

    Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators. oleh Carlos Figuera, Unai Irusta, Eduardo Morgado, Elisabete Aramendi, Unai Ayala, Lars Wik, Jo Kramer-Johansen, Trygve Eftestøl, Felipe Alonso-Atienza

    Diterbitkan 2016-01-01
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  10. 10
    Fuzzy and Sample Entropies as Predictors of Patient Survival Using Short Ventricular Fibrillation Recordings during out of Hospital Cardiac Arrest

    Fuzzy and Sample Entropies as Predictors of Patient Survival Using Short Ventricular Fibrillation Recordings during out of Hospital Cardiac Arrest oleh Beatriz Chicote, Unai Irusta, Elisabete Aramendi, Raúl Alcaraz, José Joaquín Rieta, Iraia Isasi, Daniel Alonso, María del Mar Baqueriza, Karlos Ibarguren

    Diterbitkan 2018-08-01
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  11. 11
    Analysis of Few-Shot Techniques for Fungal Plant Disease Classification and Evaluation of Clustering Capabilities Over Real Datasets

    Analysis of Few-Shot Techniques for Fungal Plant Disease Classification and Evaluation of Clustering Capabilities Over Real Datasets oleh Itziar Egusquiza, Itziar Egusquiza, Artzai Picon, Artzai Picon, Unai Irusta, Arantza Bereciartua-Perez, Till Eggers, Christian Klukas, Elisabete Aramendi, Ramon Navarra-Mestre

    Diterbitkan 2022-03-01
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  12. 12
    Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia.

    Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia. oleh Artzai Picon, Unai Irusta, Aitor Álvarez-Gila, Elisabete Aramendi, Felipe Alonso-Atienza, Carlos Figuera, Unai Ayala, Estibaliz Garrote, Lars Wik, Jo Kramer-Johansen, Trygve Eftestøl

    Diterbitkan 2019-01-01
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