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

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

研究成果: 雜誌貢獻文章

19 引文 斯高帕斯(Scopus)

摘要

AIMS: Accurate ventricular fibrillation (VF) waveform analysis usually requires rescuers to discontinue cardiopulmonary resuscitation (CPR). However, prolonged "hands-off" 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. 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. 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<. 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. 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.
原文英語
頁(從 - 到)1505-1511
頁數7
期刊Resuscitation
84
發行號11
DOIs
出版狀態已發佈 - 十一月 1 2013
對外發佈Yes

Keywords

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

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Emergency
  • Emergency Medicine

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  • 引用此

    Lo, M. T., Lin, L. Y., Hsieh, W. H., Ko, P. C. I., Liu, Y. B., Lin, C., Chang, Y. C., Wang, C. Y., Young, V. H. W., Chiang, W. C., Lin, J. L., Chen, W. J., & Ma, M. H. M. (2013). A new method to estimate the amplitude spectrum analysis of ventricular fibrillation during cardiopulmonary resuscitation. Resuscitation, 84(11), 1505-1511. https://doi.org/10.1016/j.resuscitation.2013.07.004