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A Prediction of Coronary Perfusion Pressure Using the Extracted Parameter From Ventricular Fibrillation ECG Wave  

Jang Seung-Jin (연세대학교 보건과학대학 의공학부)
Hwang Sung-Oh (연세대학교 원주의과대학 응급의학교실)
Yoon Young-Ro (연세대학교 보건과학대학 의공학부)
Lee Hyun-Sook (상지대학교 이공과대학 컴퓨터전자물리학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.54, no.4, 2005 , pp. 274-283 More about this Journal
Abstract
Coronary Perfusion Pressure(CPP) is known for the most important parameter related to the Return of Spontaneous Circulation (ROSC), however, clinically measuring CPP is difficult either invasive or non-invaisive method. En this paper, we analyze the correlation between the extracted parameter from VF ECG wave and the CPP with the statistical method, and predict CPP value using the extracted parameters within significance level. the extracted parameters are median frequency(MF), peak frequency(PF), average segment amplitude(ASA), MSA(maximum segment amplitude), Two parameters, MF, and ASA are selected in order to predict CPP value with general regression neural network, and then we evaluated the agreement statistics between the simulated CPP and the measured CPP. In conclusion, the mean and variance of the difference between the simulated CPP and the measured CPP are 8.9716±1.3526 mmHg, and standard deviation 6.4815 mmHg with one hundred-times training and test results. the simulated CPP and the measured CPP are agreed with the overall accuracy $90.68\%$ and kappa coefficient $81.14\%$ as a discriminant parameter of ROSC.
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1 Trygve Eftestol, Sivlng., 'Predicting Outcome of Defibrillation by Spectral Characterization and Nonparametric Classification of Ventricular Fibrillation in Patients with Out-of-Hospital Cardiac Arrest', Circulation, September, 26, 2000
2 Yamakawa, A.; Honda, K.; Ichihashi, H.; Miyoshi, T. 'Simultaneous approach to fuzzy cluster, principal component and multiple regress-tion analysis', Neural Networks, 1999. IJCNN '99. International Joint Conference, Volume: 6 , 1999   DOI
3 DJ Yu et al, 'Complexity Measurements for Analysis and Diagnosis of Early Ventricular Fibrillation', IEEE Computers in Cardiology, 26:21-24, 1999   DOI
4 Redding JS & Pearson JW., 'Evaluation of drugs for cardiac resuscitation', Anesthesiology Vol. 24, pp.203-207, 1963   DOI   ScienceOn
5 J.P. Tournadre et al, 'Overestimation of low cardiac output measured by thermodilution', Brith Journal of Anaesthesia, 79:541-516, 1997
6 Karl B. 'Coronary perfusion pressure during cardiopulmonary resuscitation', Bailliere's Clinical Anaesthesiology vol. 14, No. 3, pp.591-609, 2000   DOI   ScienceOn
7 Sung Oh Hwang, Kang Hyun Lee, Jun Hwi Cho, Bum Jin Oh., 'Simultaneous sternothoracic cardiopulmonary resuscitation: A new method of cardiopulmonary resuscitation', Elsevier Science Ireland Ltd., Resuscitation 48, pp 293-299, 2001   DOI
8 DE Ritscher, CR Killingsworth, GP Walcott, RE Ideker, WM Smith, 'Ventricular Fibrillation Frequency Analysis: Signatures of Models of Death in a Canine Sudden Cardiac Death Model', IEEE Computers in Cardiology, 26:623-626, 1999   DOI
9 Brown, Charles G MD*; Dzwonczyk, Roger MSBME, 'Signal Analysis of the Human Electrocardiogram During Ventricular Fibrillation: Frequency and Amplitude Parameters as Predictors of Successful Countershock', Annals of Emergency Medicine, Mosby-Year Book Inc., volume 27(2), pp 184-188, February 1996   DOI
10 M Small, DJ Yu, RG Harrison, C Robertson, G Clegg, M Holzer, F Sterz, 'Characterizing Nonlinearity In Ventricular Fibrillation', IEEE Computers in Cardiology, 26:17-20, 1999   DOI
11 Ahmet Baykal, Ravi Ranjan, Nitish V. Thakor, 'Estimation of the Ventricular Fibrillation Duration by Autoregressive Modeling', IEEE transactions on Biomedical Engineering, Vol. 44, No. 5, May 1997   DOI   ScienceOn
12 Strohmenger, Hans-Ulrich MD; Lindner, Karl H. MD; Brown, Charles G. MD, 'Analysis of the Ventricular Fibrillation ECG Signal Amplitude and Frequency Parameters as Predictors of Countershock Success in Humans', Cardiopulmonary and Critical Care Journal, volume 111(3), pp 584-589, March 1997   DOI
13 Vander & Sherman & Luciano., 'Human Physiology', McGraw Hill, pp. 449-450, 2001
14 Jose Jalife, 'Ventricular Fibrillation: Mechanisms of Initiation and Maintenance', Annu. Rev. Physiol. 62:25-50 2000   DOI   ScienceOn
15 J Guerrero, JF Chorro, A Rosado, R Magdalena, E Soria, M Bataller, V Lopez-Merino, J. Espi, 'Spectral Coherence of Ventricular Fibri-llation under Conditions of Coronary Perfusion, Dillation and Drug Administration', IEEE Computers in Cardiology, 26:339-342, 1999   DOI
16 Rosenberg, Jack M. MD; Wahr, Joyce A. MD; Sung, Ho Choon MD, PhD; Oh, Young Suk; Gilligan, Lori J. LVT, 'Coronary Perfusion Pressure During Cardiopul­monary Resuscitation After Spinal Anest-hesia in Dogs', Anesthesia & Analgesia, volume 82(1), pp 84-87, January 1996   DOI
17 Noc, Marko MD; Weil, Max Harry MD, PhD, FCCM; Tang, Wanchun MD, FCCM; Sun, Shijie MD: Pernat, Andrej MD; Bisera, Joe MSEE, 'Electrocardiographic prediction of the success of cardiac resuscitation', Critical Care Medicine, volume 27(4), pp 708-714, April 1999   DOI
18 Monson H. Hayes., 'Statistical Digital Signal Processing And Modeling', John Wiley & Sons, Inc., pp.415-420, 1996