2017
DOI: 10.1016/j.resuscitation.2016.12.025
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Novel CPR system that predicts return of spontaneous circulation from amplitude spectral area before electric shock in ventricular fibrillation

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Cited by 14 publications
(7 citation statements)
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“…The evidence updates restricted the search to January 2008 to January 2020 and identified one large RCT conducted in 2013 45 and 20 observational studies. 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 In addition, there is an ongoing multicentre RCT of real-time amplitude spectrum area to guide defibrillation (NCT03237910). Although the VF waveform analyses and outcomes studied were highly heterogeneous, given the amount of data available, an updated SysRev was suggested.…”
Section: Defibrillation Strategies For Ventricular Fibrillation or Pumentioning
confidence: 99%
“…The evidence updates restricted the search to January 2008 to January 2020 and identified one large RCT conducted in 2013 45 and 20 observational studies. 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 In addition, there is an ongoing multicentre RCT of real-time amplitude spectrum area to guide defibrillation (NCT03237910). Although the VF waveform analyses and outcomes studied were highly heterogeneous, given the amount of data available, an updated SysRev was suggested.…”
Section: Defibrillation Strategies For Ventricular Fibrillation or Pumentioning
confidence: 99%
“…Changes in AMSA may reflect changes in myocardial perfusion and myocardial metabolic state, with improvement after chest compressions. 9,13,[16][17][18][19][20][21][22] Although on a group level, univariate comparisons showed no difference in D-characteristics between groups (Table 2), it was with machine learning algorithms that we identified the potential distinctive ability of DAMSA (Supplement 4 for a graphical illustration). In line with our previous study, machine learning algorithms that combined various VF-characteristics did not improve model performances.…”
Section: Discussionmentioning
confidence: 92%
“…Briefly, AMSA, whose algorithm was suggested, quantitated, determined, and gradually refined by Charles G. Brown et al over the past 25 years, is considered as a potential and practical prognosticator for measuring the probability of successful defibrillation and guiding the optimal timing of defibrillation, which has been studied in clinical trials and large animal experiments. In addition, a large number of researchers are convinced that AMSA is suitable for clinical transformation, although many questions and challenges remain ( 24 27 ).…”
Section: Discussionmentioning
confidence: 99%