1EPS Teoría de la Señal y Comunicaciones
TSC
Oslo University Hospital
Oslo, NoruegaPublikationen in Zusammenarbeit mit Forschern von Oslo University Hospital (21)
2024
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Induction of Translational Readthrough on Protein Tyrosine Phosphatases Targeted by Premature Termination Codon Mutations in Human Disease
Methods in Molecular Biology (Humana Press Inc.), pp. 1-19
2021
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A global analysis of the reconstitution of PTEN function by translational readthrough of PTEN pathogenic premature termination codons
Human Mutation, Vol. 42, Núm. 5, pp. 551-566
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
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Protein tyrosine phosphatase PTPN1 modulates cell growth and associates with poor outcome in human neuroblastoma
Diagnostic Pathology, Vol. 14, Núm. 1
2018
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An Accurate Shock Advise Algorithm for Use during Piston-Driven Chest Compressions
Computing in Cardiology
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DUSP5 expression associates with poor prognosis in human neuroblastoma
Experimental and Molecular Pathology, Vol. 105, Núm. 3, pp. 272-278
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
2014
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A reliable method for rhythm analysis during cardiopulmonary resuscitation
BioMed Research International, Vol. 2014
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Filtering chest compression artifacts improves the performance of VF-detection parameters
Computing in Cardiology
2013
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A new algorithm to diagnose during chest compressions: Effect on cardiopulmonary resuscitation delivery
Computing in Cardiology
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A simple impedance-based method for ventilation detection during cardiopulmonary resuscitation
Computing in Cardiology
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Feasibility of automated rhythm assessment in chest compression pauses during cardiopulmonary resuscitation
Resuscitation, Vol. 84, Núm. 9, pp. 1223-1228
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Probabilistic classification approaches for cardiac arrest rhythm interpretation during resuscitation
Computing in Cardiology
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Reliable extraction of the circulation component in the thoracic impedance measured by defibrillation pads
Resuscitation, Vol. 84, Núm. 10, pp. 1345-1352