Publikationen in Zusammenarbeit mit Forschern von Oslo University Hospital (30)

2024

  1. Cardiac output estimation using ballistocardiography: a feasibility study in healthy subjects

    Scientific Reports, Vol. 14, Núm. 1

  2. Extracting physiologic and clinical data from defibrillators for research purposes to improve treatment for patients in cardiac arrest

    Resuscitation Plus, Vol. 18

  3. Invasive arterial blood pressure delineator for cardiopulmonary resuscitation patients during pauses of chest compressions

    Biomedical Signal Processing and Control, Vol. 94

  4. Recovery of arterial blood pressure after chest compression pauses in patients with out-of-hospital cardiac arrest

    Resuscitation, Vol. 201

2023

  1. A Convolutional Neural Network Approach for Interpreting Cardiac Rhythms from Resuscitation of Cardiac Arrest Patients

    Computing in Cardiology

  2. Classification of Cardiac Rhythms During Load-Distributing Band Cardiopulmonary Resuscitation

    Computing in Cardiology

  3. Non-shockable rhythms: A parametric model for the immediate probability of return of spontaneous circulation

    Resuscitation, Vol. 191

2022

  1. Adaptive Filtering Methods for ECG Waveform Restoration during Cardiopulmonary Resuscitation

    Computing in Cardiology

2021

  1. A Machine Learning-Based Pulse Detection Algorithm for Use during Cardiopulmonary Resuscitation

    Computing in Cardiology

  2. Automated Detection of Pulse Using Continuous Invasive Arterial Blood Pressure in Patients during Cardiopulmonary Resuscitation

    Computing in Cardiology

  3. Shock decision algorithm for use during load distributing band cardiopulmonary resuscitation

    Resuscitation, Vol. 165, pp. 93-100

  4. Tidal volume measurements via transthoracic impedance waveform characteristics: The effect of age, body mass index and gender. A single centre interventional study

    Resuscitation, Vol. 167, pp. 218-224

2020

  1. A Probabilistic Function to Model the Relationship between Quality of Chest Compressions and the Physiological Response for Patients in Cardiac Arrest

    Computing in Cardiology

  2. Detection of Shockable Rhythms Using Convolutional Neural Networks during Chest Compressions Provided by a Load Distributing Band

    Computing in Cardiology

  3. Multimodal Biosignal Analysis Algorithm for the Classification of Cardiac Rhythms during Resuscitation

    Computing in Cardiology

  4. Rhythm analysis during cardiopulmonary resuscitation using convolutional neural networks

    Entropy, Vol. 22, Núm. 6

2019

  1. 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

  2. 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

  3. A Robust Machine Learning Architecture for a Reliable ECG Rhythm Analysis during CPR

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

  4. Automatic cardiac rhythm classification with concurrent manual chest compressions

    IEEE Access, Vol. 7, pp. 115147-115159