A new method to estimate the amplitude spectrum analysis of ventricular fibrillation during cardiopulmonary resuscitation

作者：Lo Men Tzung; Lin Lian Yu; Hsieh Wan Hsin; Ko Patrick Chow In^*; Liu Yen Bin; Lin Chen; Chang Yi Chung; Wang Cheng Yen; Young Vincent Hsu Wen; Chiang Wen Chu; Lin Jiunn Lee; Chen Wen Jone; Ma Matthew Huei Ming

来源：Resuscitation, 2013, 84(11): 1505-1511.

DOI：10.1016/j.resuscitation.2013.07.004

• Ventricular fibrillation
• Automated external defibrillator
• Empirical mode decomposition
• Least mean square
• Amplitude spectrum analysis

AIMS: Accurate ventricular fibrillation (VF) waveform analysis usually requires rescuers to discontinue cardiopulmonary resuscitation (CPR). However, prolonged %26quot;hands-off%26quot; time has a deleterious impact on the outcome. We developed a new filter technique that could clean the CPR artifacts and help preserve the shockability index of VF %26lt;br%26gt;METHODS: We analyzed corrupted ECGs, which were constructed by randomly adding different scaled CPR artifacts to the VF waveforms. A newly developed algorithm was used to identify the CPR fluctuations. The algorithm contained two steps. First, decomposing the raw data by empirical mode decomposition (EMD) into several intrinsic mode fluctuations (IMFs) and combining the dominant IMFs to reconstruct a new signal. Second, calculating each CPR cycle frequency from the new signal and fitting the new signal to the original corrupted ECG by least square mean (LSM) method to derive the CPR artifacts. The estimated VF waveform was derived by subtraction of the CPR artifacts from the corrupted ECG. We then performed amplitude spectrum analysis (AMSA) for original VF, corrupted ECG and estimated VF. %26lt;br%26gt;RESULTS: A total of 150 OHCA subjects with initial VF rhythm were included for analysis. Ten CPR artifacts signals were used to construct corrupted ECG. Even though the correlations of AMSA between the corrupted ECG vs. the original VF and the estimated VF vs. the original VF are all high (all p %26lt; 0.001), the values of AMSA were obviously biased in corrupted ECG with wide limits of agreement in Bland-Altman mean-difference plot. ROC analysis of the AMSA in the prediction of defibrillation success showed that the new algorithm could preserve the cut-off AMSA value for CPR artifacts with power ratio to VF from 0 to 6 dB. %26lt;br%26gt;CONCLUSION: The new algorithm could efficiently filter the CPR-related artifacts of the VF ECG and preserve the shockability index of the original VF waveform.

• 出版日期2013-11
• 单位中央民族大学