Trygve Eftestøl

Summary

Affiliation: Stavanger University College
Country: Norway

Publications

  1. ncbi Effects of interrupting precordial compressions on the calculated probability of defibrillation success during out-of-hospital cardiac arrest
    Trygve Eftestøl
    Stavanger University College, Department of Electrical and Computer Engineering, Stavanger, Norway
    Circulation 105:2270-3. 2002
  2. ncbi Advanced life support therapy on out-of-hospital cardiac arrest patients: an engineering perspective
    Trygve Eftestøl
    Stavanger University College, Department of Electrical and Computer Engineering, Norway
    Expert Rev Cardiovasc Ther 1:203-13. 2003
  3. ncbi Feasibility of shock advice analysis during CPR through removal of CPR artefacts from the human ECG
    Joar Eilevstjønn
    Department of Electrical and Computer Engineering, Stavanger University College, P O Box 8002, N 4068 Stavanger, Norway
    Resuscitation 61:131-41. 2004
  4. ncbi Using within-patient correlation to improve the accuracy of shock outcome prediction for cardiac arrest
    Kenneth Gundersen
    Department of Electrical and Computing Engineering, University of Stavanger, Stavanger, Norway
    Resuscitation 78:46-51. 2008
  5. ncbi Development of the probability of return of spontaneous circulation in intervals without chest compressions during out-of-hospital cardiac arrest: an observational study
    Kenneth Gundersen
    Department of Electrical and Computing Engineering, University of Stavanger, Stavanger, Norway
    BMC Med 7:6. 2009
  6. ncbi Independent evaluation of a defibrillation outcome predictor for out-of-hospital cardiac arrested patients
    Trygve Eftestøl
    University of Stavanger, Faculty of Science and Technology, Department of Electrical and Computer Engineering, N 4036 Stavanger, Norway
    Resuscitation 67:55-61. 2005
  7. ncbi Chest compression quality variables influencing the temporal development of ROSC-predictors calculated from the ECG during VF
    Kenneth Gundersen
    Department of Electrical and Computing Engineering, University of Stavanger, Stavanger, Norway
    Resuscitation 80:177-82. 2009
  8. ncbi Automatic identification of return of spontaneous circulation during cardiopulmonary resuscitation
    Martin Risdal
    Department of Electrical and Computer Engineering, University of Stavanger, Stavanger 4036, Norway
    IEEE Trans Biomed Eng 55:60-8. 2008
  9. ncbi Using ontologies to integrate and share resuscitation data from diverse medical devices
    Kari Anne Haaland Thorsen
    Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Stavanger, 4036 Stavanger, Norway
    Resuscitation 80:511-6. 2009
  10. ncbi Identifying approaches to improve the accuracy of shock outcome prediction for out-of-hospital cardiac arrest
    Kenneth Gundersen
    Department of Electrical and Computing Engineering, University of Stavanger, Stavanger, Norway
    Resuscitation 76:279-84. 2008

Detail Information

Publications14

  1. ncbi Effects of interrupting precordial compressions on the calculated probability of defibrillation success during out-of-hospital cardiac arrest
    Trygve Eftestøl
    Stavanger University College, Department of Electrical and Computer Engineering, Stavanger, Norway
    Circulation 105:2270-3. 2002
    ..We analyzed whether similar hands-off intervals in humans with ventricular fibrillation causes changes in the ECG predicting a lower probability of ROSC...
  2. ncbi Advanced life support therapy on out-of-hospital cardiac arrest patients: an engineering perspective
    Trygve Eftestøl
    Stavanger University College, Department of Electrical and Computer Engineering, Norway
    Expert Rev Cardiovasc Ther 1:203-13. 2003
    ....
  3. ncbi Feasibility of shock advice analysis during CPR through removal of CPR artefacts from the human ECG
    Joar Eilevstjønn
    Department of Electrical and Computer Engineering, Stavanger University College, P O Box 8002, N 4068 Stavanger, Norway
    Resuscitation 61:131-41. 2004
    ..We need a better understanding of the physiological mixing of artefacts and the underlying heart rhythm and suggest clinical trials to investigate the nature of CPR artefacts further...
  4. ncbi Using within-patient correlation to improve the accuracy of shock outcome prediction for cardiac arrest
    Kenneth Gundersen
    Department of Electrical and Computing Engineering, University of Stavanger, Stavanger, Norway
    Resuscitation 78:46-51. 2008
    ..The accuracy of such methods determines how useful it is clinically and for retrospective analysis...
  5. ncbi Development of the probability of return of spontaneous circulation in intervals without chest compressions during out-of-hospital cardiac arrest: an observational study
    Kenneth Gundersen
    Department of Electrical and Computing Engineering, University of Stavanger, Stavanger, Norway
    BMC Med 7:6. 2009
    ..We have used this in the current study to quantify in detail the effects of interrupting chest compressions...
  6. ncbi Independent evaluation of a defibrillation outcome predictor for out-of-hospital cardiac arrested patients
    Trygve Eftestøl
    University of Stavanger, Faculty of Science and Technology, Department of Electrical and Computer Engineering, N 4036 Stavanger, Norway
    Resuscitation 67:55-61. 2005
    ..As in the present study, future testing should be performed on totally independent data not included in the design of the outcome predictor to get a reliable impression of expected performance...
  7. ncbi Chest compression quality variables influencing the temporal development of ROSC-predictors calculated from the ECG during VF
    Kenneth Gundersen
    Department of Electrical and Computing Engineering, University of Stavanger, Stavanger, Norway
    Resuscitation 80:177-82. 2009
    ..It has not been studied how the quality of chest compressions affect the development of such ROSC predictors...
  8. ncbi Automatic identification of return of spontaneous circulation during cardiopulmonary resuscitation
    Martin Risdal
    Department of Electrical and Computer Engineering, University of Stavanger, Stavanger 4036, Norway
    IEEE Trans Biomed Eng 55:60-8. 2008
    ..5% of the normal pulse rhythm segments. Automatic identification of pulse could avoid unnecessary pulse checks and thereby reduce no-flow time and potentially increase the chance of survival...
  9. ncbi Using ontologies to integrate and share resuscitation data from diverse medical devices
    Kari Anne Haaland Thorsen
    Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Stavanger, 4036 Stavanger, Norway
    Resuscitation 80:511-6. 2009
    ..To propose a method for standardised data representation and demonstrate a technology that makes it possible to translate data from device dependent formats to this standard representation format...
  10. ncbi Identifying approaches to improve the accuracy of shock outcome prediction for out-of-hospital cardiac arrest
    Kenneth Gundersen
    Department of Electrical and Computing Engineering, University of Stavanger, Stavanger, Norway
    Resuscitation 76:279-84. 2008
    ..The accuracy of such methods determines how useful it is clinically and for retrospective analysis...
  11. ncbi Effects of cardiopulmonary resuscitation on predictors of ventricular fibrillation defibrillation success during out-of-hospital cardiac arrest
    Trygve Eftestøl
    Stavanger University College, Department of Electrical and Computer Engineering, PO Box 8002, 4068 Stavanger, Norway
    Circulation 110:10-5. 2004
    ..To examine whether CPR improves myocardial readiness for defibrillation, we analyzed whether CPR causes changes in predictors of defibrillation success calculated from the ventricular fibrillation waveform...
  12. ncbi Removal of cardiopulmonary resuscitation artifacts from human ECG using an efficient matching pursuit-like algorithm
    John Håkon Husøy
    Department of Electrical and Computer Engineering, Stavanger University College, P O Box 8002, N 4068 Stavanger, Norway
    IEEE Trans Biomed Eng 49:1287-98. 2002
    ..Using more realistic data than what have been previously available, we present evidence showing the excellent performance of our approach and quantify its computational complexity...
  13. ncbi Representing resuscitation data-Considerations on efficient analysis of quality of cardiopulmonary resuscitation
    Trygve Eftestøl
    Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Stavanger, 4036 Stavanger, Norway
    Resuscitation 80:311-7. 2009
    ..To discuss challenges in representing resuscitation data from Utstein style reports and devices like defibrillators with focus on unified and efficient handling of variety of resuscitation research objectives...
  14. ncbi Impedance-based ventilation detection during cardiopulmonary resuscitation
    Martin Risdal
    Department of Electrical and Computer Engineering, University of Stavanger, Stavanger 4036, Norway
    IEEE Trans Biomed Eng 54:2237-45. 2007
    ..8% for a sensitivity of 88.7%. The results suggest that accurate ventilation detection during CPR based on the proposed approach is feasible, and that the performance is not significantly degraded in the presence of chest compressions...