Course of quantitative ventricular fibrillation waveform measure and outcome following out-of-hospital cardiac arrest.
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Combining Amplitude Spectrum Area with Previous Shock Information Using Neural Networks Improves Prediction Performance of Defibrillation Outcome for Subsequent Shocks in Out-Of-Hospital Cardiac Arrest Patients.Spectral analysis-based risk score enables early prediction of mortality and cerebral performance in patients undergoing therapeutic hypothermia for ventricular fibrillation and comatose status.Ventricular fibrillation waveform measures combined with prior shock outcome predict defibrillation success during cardiopulmonary resuscitation.Feasibility of Biosignal-guided Chest Compression During Cardiopulmonary Resuscitation: A Proof of Concept.A Novel Approach to Improve Time to First Shock in Prehospital STEMI Complicated by Ventricular Fibrillation.
P2860
Course of quantitative ventricular fibrillation waveform measure and outcome following out-of-hospital cardiac arrest.
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2013 nî lūn-bûn
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2013年の論文
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2013年学术文章
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2013年学术文章
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2013年学术文章
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2013年学术文章
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2013年学术文章
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name
Course of quantitative ventric ...... ut-of-hospital cardiac arrest.
@en
Course of quantitative ventric ...... ut-of-hospital cardiac arrest.
@nl
type
label
Course of quantitative ventric ...... ut-of-hospital cardiac arrest.
@en
Course of quantitative ventric ...... ut-of-hospital cardiac arrest.
@nl
prefLabel
Course of quantitative ventric ...... ut-of-hospital cardiac arrest.
@en
Course of quantitative ventric ...... ut-of-hospital cardiac arrest.
@nl
P2093
P1433
P1476
Course of quantitative ventric ...... ut-of-hospital cardiac arrest.
@en
P2093
Carol Fahrenbruch
Jennifer Blackwood
Lauren Murphy
Peter Kudenchuk
Peter Schoene
Thomas Rea
P304
P356
10.1016/J.HRTHM.2013.10.049
P577
2013-10-28T00:00:00Z