Open AccessValidation of spectral energy for the quantitative analysis of ventricular fibrillation waveform to guide defibrillation in a porcine model of cardiac arrest and resuscitation
Author(s) -
Qiyu Yang,
Ming Li,
Zhaolan Huang,
Zhuoyan Xie,
Yue Wang,
Qin Ling,
Xuefen Liu,
Wanchun Tang,
Longyuan Jiang,
Zhengfei Yang
Publication year - 2019
Publication title -
journal of thoracic disease
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.682
H-Index - 60
eISSN - 2077-6624
pISSN - 2072-1439
DOI - 10.21037/jtd.2019.09.18
Subject(s) - defibrillation , ventricular fibrillation , medicine , cardiopulmonary resuscitation , return of spontaneous circulation , cardiology , waveform , resuscitation , metric (unit) , spectral analysis , fibrillation , anesthesia , atrial fibrillation , electrical engineering , voltage , physics , quantum mechanics , spectroscopy , operations management , economics , engineering
The amplitude spectrum area (AMSA), a frequency-domain ventricular fibrillation (VF) waveform metric, can predict successful defibrillation and the return of spontaneous circulation (ROSC) after defibrillation attempts. We aimed to investigate the validation of Spectral Energy for the quantitative analysis of the VF waveform to guide defibrillation in a porcine model of cardiac arrest and compare it with the AMSA metric. In addition, we sought to determine the effects of epinephrine and cardiopulmonary resuscitation (CPR) on AMSA and Spectral Energy.