Search Results - "Steen, Petter A"

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  1. 1

    Quality of cardiopulmonary resuscitation before and during transport in out-of-hospital cardiac arrest by Olasveengen, Theresa M, Wik, Lars, Steen, Petter A

    Published in Resuscitation (01-02-2008)
    “…Summary Aim of the study To evaluate quality of cardiopulmonary resuscitation (CPR) performed during transport after out-of-hospital cardiac arrest. Materials…”
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    Journal Article
  2. 2

    Effects of compression depth and pre-shock pauses predict defibrillation failure during cardiac arrest by Edelson, Dana P., Abella, Benjamin S., Kramer-Johansen, Jo, Wik, Lars, Myklebust, Helge, Barry, Anne M., Merchant, Raina M., Hoek, Terry L. Vanden, Steen, Petter A., Becker, Lance B.

    Published in Resuscitation (01-11-2006)
    “…Cardiopulmonary resuscitation (CPR) and electrical defibrillation are the primary treatment options for ventricular fibrillation (VF). While recent studies…”
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  3. 3

    Intravenous Drug Administration During Out-of-Hospital Cardiac Arrest: A Randomized Trial by Olasveengen, Theresa M, Sunde, Kjetil, Brunborg, Cathrine, Thowsen, Jon, Steen, Petter A, Wik, Lars

    “…CONTEXT Intravenous access and drug administration are included in advanced cardiac life support (ACLS) guidelines despite a lack of evidence for improved…”
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  4. 4

    Outcome when adrenaline (epinephrine) was actually given vs. not given – post hoc analysis of a randomized clinical trial by Olasveengen, Theresa M, Wik, Lars, Sunde, Kjetil, Steen, Petter A

    Published in Resuscitation (01-03-2012)
    “…Abstract Purpose of the study IV line insertion and drugs did not affect long-term survival in an out-of-hospital cardiac arrest (OHCA) randomized clinical…”
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    Out-of hospital advanced life support with or without a physician: Effects on quality of CPR and outcome by Olasveengen, Theresa M, Lund-Kordahl, Inger, Steen, Petter A, Sunde, Kjetil

    Published in Resuscitation (01-11-2009)
    “…Abstract Background The presence of physicians is believed to facilitate optimal management of out-of-hospital cardiac arrest, but has not been sufficiently…”
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    Different definitions of patient outcome: Consequences for performance analysis in trauma by Skaga, Nils O, Eken, Torsten, Jones, J. Mary, Steen, Petter A

    Published in Injury (01-05-2008)
    “…Summary Background Death during acute care hospitalisation is commonly used as a principal outcome indicator in injury research. This endpoint excludes…”
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  9. 9

    Manikins With Human-Like Chest Properties-A New Tool for Chest Compression Research by Nysaether, Jon B., Dorph, Elizabeth, Rafoss, Ivan, Steen, Petter A.

    “…Commercially available training manikins for cardiopulmonary resuscitation (CPR) do not accurately mimic the mechanical properties of human chests. This may…”
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    Retention of basic life support skills 6 months after training with an automated voice advisory manikin system without instructor involvement by Wik, Lars, Myklebust, Helge, Auestad, Bjørn H, Steen, Petter A

    Published in Resuscitation (01-03-2002)
    “…Aim: To evaluate the retention of skills 6 months after training in ventilation and chest compressions (CPR) on a manikin with computer based on-line voice…”
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  13. 13

    Is CPR quality improving? A retrospective study of out-of-hospital cardiac arrest by Olasveengen, Theresa M, Wik, Lars, Kramer-Johansen, Jo, Sunde, Kjetil, Pytte, Morten, Steen, Petter A

    Published in Resuscitation (01-11-2007)
    “…Summary Aim of the study To evaluate the quality of cardiopulmonary resuscitation (CPR) performed by a physician-manned ambulance, and assess whether it…”
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  14. 14

    Twelve-month retention of CPR skills with automatic correcting verbal feedback by Wik, Lars, Myklebust, Helge, Auestad, Bjørn H., Steen, Petter A.

    Published in Resuscitation (01-07-2005)
    “…To evaluate the retention of CPR skills 12 months after initial training, using a manikin equipped with a computer-based voice advisory feedback system…”
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    Comparison of mechanical characteristics of the human and porcine chest during cardiopulmonary resuscitation by Neurauter, Andreas, Nysæther, Jon, Kramer-Johansen, Jo, Eilevstjønn, Joar, Paal, Peter, Myklebust, Helge, Wenzel, Volker, Lindner, Karl H, Schmölz, Werner, Pytte, Morten, Steen, Petter A, Strohmenger, Hans-Ulrich

    Published in Resuscitation (01-04-2009)
    “…Abstract Background Most studies investigating cardiopulmonary resuscitation (CPR) interventions or functionality of mechanical CPR devices have been performed…”
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    Advanced life support therapy on out-of-hospital cardiac arrest patients : Applying signal processing and pattern recognition methods by EFTESTØL, Trygve, RISDAL, Martin, EILEVSTJØNN, Joar, STEEN, Petter Andreas

    Published in Modeling, identification and control (01-12-2005)
    “…In the US alone, several hundred thousands die of sudden cardiac arrests each year. Basic life support defined as chest compressions and ventilations and early…”
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    Scoring of anatomic injury after trauma: AIS 98 versus AIS 90—do the changes affect overall severity assessment? by Skaga, Nils O, Eken, Torsten, Hestnes, Morten, Jones, J. Mary, Steen, Petter A

    Published in Injury (01-01-2007)
    “…Summary Background Although several changes were implemented in the 1998 update of the abbreviated injury scale (AIS 98) versus the previous AIS 90, both are…”
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    Arterial blood gases during basic life support of human cardiac arrest victims by Pytte, Morten, Dorph, Elizabeth, Sunde, Kjetil, Kramer-Johansen, Jo, Wik, Lars, Steen, Petter A

    Published in Resuscitation (01-04-2008)
    “…Summary Background Ventilation with tidal volumes sufficient to raise the victim's chest is an integral part of guidelines for lay-rescuer basic life support,…”
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    A MIXTURE MODEL CLASSIFIER AND ITS APPLICATION ON THE BIOMEDICAL TIME SERIES by Yang, Zhijun, Yang, Zhengrong, Eftestøl, Trygve, Steen, Petter A., Lu, Weiping, Harrison, Robert G.

    Published in Applied artificial intelligence (01-07-2012)
    “…This article presents a methodology based on the mixture model to classify the real biomedical time series. The mixture model is shown to be an efficient…”
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