A VARIATIONAL MODE DECOMPOSITION BASED APPROACH FOR CARDIOPULMONARY RESUSCITATION ESTIMATION AND ASSESSMENT

Tran Thi Thao, Pham Van Truong

Abstract


Cardiac arrests remain leading causes of deaths for thousands of people annually. One of the most common methods for cardiac arrest treatment is cardiopulmonary resuscitation (CPR) that provides chest compressions. It has been shown that the quality of chest compression is considered as one of key indicators for assessment of CPR performance. In this paper, we present an approach for CPR quality evaluation using ECG contaminated with CPR artifact and thoracic impedance. The proposed approach contains two key steps: First, the CPR artifact signal is estimated via variational mode decomposition (VMD) and a mode selection algorithm based on mode’s frequency and frequency of thoracic impedance signal. In the second step, CPR parameters performed on the estimated CPR signals are computed and compared with those derived by reference CPR. The proposed approach is applied for a dataset including patients presenting with asystole, ventricular tachycardia, and pulseless electrical activity. Quantitative results validate the performance of the proposed approach for CPR quality assessment.


Keywords


Cardiopulmonary resuscitation; Spectrum analysis; Thoracic impedance; Cardiac arrest; Variational mode decomposition

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References


Koster R., Baubin M., Bossaert L., Caballero A., Cassan P., Castrén M., Granja C., Handley A., Monsieurs K., Perkins G., Raffay V., Sandroni C. - European Resuscitation Council Guidelines for Resuscitation 2010 Section 2. Adult basic life support and use of automated external defibrillators, Resuscitation 81(10) (2010) 1277-1292.

Deakin C., Nolan J., Soar J., Sunde K., Koster R., Smith G., Perkins G., - European Resuscitation Council Guidelines for Resuscitation 2010 Section 4. Adult advanced life support, Resuscitation, 81(10) (2010) 1305-1352.

Kramer-Johansen J., Edelson D.P., Losert H., Köhler K., Abella BS. - Uniform reporting of measured quality of cardiopulmonary resuscitation (CPR), Resuscitation, 74(3) (2007) 406- 417.

Abella B., Alvarado J., Myklebust H., Edelson D., Barry A., O'Hearn N., Vanden Hoek T., Becker L., - Quality of cardiopulmonary resuscitation during in-hospital cardiac arrest, JAMA, 293(3) (2005) 305-310.

Abella B., Sandbo N., Vassilatos P., Alvarado J., O'Hearn N., Wigder H., Hoffman P., Tynus K., Vanden Hoek T., Becker L. -Chest compression rates during cardiopulmonary resuscitation are suboptimal: a prospective study during in-hospital cardiac arrest, Circulation, 111(4) (2005) 428-434.

Wik L., Kramer-Johansen J., Myklebust H., Sørebø H., Svensson L., Fellows B., Steen P. - Quality of cardiopulmonary resuscitation during out-of-hospital cardiac arrest, JAMA, 293(3) (2005) 299-304.

Valenzuela T., Kern K., Clark L., Berg R., Berg M., Berg D., Hilwig R., Otto C., Newburn D., Ewy G., - Interruptions of chest compressions during emergency medical systems resuscitation, Circulation, 112(9) (2005) 1259-1265.

Irusta U., Ruiz J., de Gauna SR., Eftestøl T., Kramer-Johansen J. - A least mean-square filter for the estimation of the cardiopulmonary resuscitation artifact based on the frequency of the compressions, IEEE Trans Biomed Eng. 56(4) (2009) 1052-1062.

Ayala U., Eftestøl T., Alonso E., Irusta U., Aramendi E., Wali S., Kramer-Johansen J., -Automatic detection of chest compressions for the assessment of CPR-quality parameters, Resuscitation, 85(7) (2014) 957-963.

Huang N. E., Shen Z., Long S. R., Wu M.C., Shih E. H., Zheng Q., Tung C. C, and Liu H. H., - The empirical mode decomposition method and the Hilbert spectrum for non-stationary time series analysis, Proc. R. Soc. Lond., 454A (1998) 903–995.

Lin L., Lo M., Chiang W., Lin C., Ko P., Hsiung K., Lin J., Chen W., Ma M., - A new way to analyze resuscitation quality by reviewing automatic external defibrillator data, Resuscitation, 83(2) (2012) 171-176.

Lo M., Lin L., Hsieh W., Ko P., Liu Y., Lin C., Chang C., Wang C., Young V., Chiang W., Lin J., Chen W., Ma M. -A new method to estimate the amplitude spectrum analysis of ventricular fibrillation during cardiopulmonary resuscitation, Resuscitation, 84(1) (2013) 1505-1511.

Konstantin D., Dominique Z., -Variational Mode Decomposition, IEEE Trans. Signal Process., 62(3) (2014) 531-544.

Pan J., Tompkins W., - A real-time QRS detection algorithm, IEEE Trans. Biomed. Eng., 32(3) (1985) 230-236.

Skjeflo W., Nordseth T., Loennechen JP., Bergum D., Skogvoll E., - ECG changes during resuscitation of patients with initial pulseless electrical activity are associated with return of spontaneous circulation, Resuscitation, 127 (2018) 31-36.

Aramendi E., de Gauna R., Irusta U., Ruiz J., Arcocha F., Ormaetxe M. - Detection of ventricular fibrillation in the presence of cardiopulmonary resuscitation artefacts, Resuscitation. 72(1) (2007) 115-123.

Tan Q., Freeman G., Geheb F., Bisera J. -Electrocardiographic analysis during uninterrupted cardiopulmonary resuscitation, Critical Care Medicine. 36(11) (2008) S409- S412.




DOI: https://doi.org/10.15625/2525-2518/57/1/12964

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