Abstract
Investigation of heart rate variability is of considerable interest in physiology, clinical medicine and drug development. HRV analysis requires accurate rhythm classification. The well-known ARGUS system defines the useful method of rhythm classification. The original set of features used in this method contains 4 parameters: QRS duration, QRS height, QRS offset and QRS area. Zhou at al. showed, that the spatial features: T wave amplitude in lead V2, QRS and T axes angles in frontal plane, and QRS-T spatial angle are of utmost value for diagnostic classification of ventricular conduction defects. We studied usefulness of spatial features instead of original ones in the ARGUS system classification method. The spatial features were computed using SPART method developed by the authors. Classification results for spatial and original features are similar and close to those obtained by the original ARGUS system. The study results confirm usefulness of spatial features for automatic rhythm analysis.
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References
Pallas-Areny, R., Colominas-Balague, J., Rosell, F.J.: The Effect of Respiration-Induced Heart Movements on The ECG. IEEE Trans. Biomed. Eng. 36 (1989) 585–590
Kowalski, H.A., Skorupski, A.: SPART-Real Time Spatial Analysis of ECG Signal. In: Computers in Cardiology 1995. Vol. 22. IEEE Computer Society Press, Piscataway (1995) 357–360.
Kowalski, H.A., Skorupski, A., Wojciechowski, D., Szymański, Z., Jedrasik, P., Kacprzak, P., Zych, R.: Use of SPART Method for Automatic Rhythm Analysis in Presence of Body Position Changes and Respiration Artifacts. In: Chicago 2000 World Congress on Medical Physics and Biomedical Engineering. Medical Physics 27 (2000)
Zhou, S.H., Raoutaharaju, P.M., Calhoun, H.P.: Selection of Reduced Set of Parameters for Classification of Ventricular Defects by Clasters Analysis. Vol. 20. IEEE Computer Society Press, Piscataway (1993) 879–882
Rubel, P.: Past And Future Of Quantitative 3-D Electrocardiography And Vectorcardiography. In: IEEE Engineering in Medicine and Biology 14th Annual Conference. Paris (1992) 2768D–2768F
Ciacio, E.J., Dunn, S.M., Akay, M., Biosignal Pattern Recognition and Interpretation Systems, Part. 2: Methods for Feature Extraction and Selection. IEEE Eng. in Med. & Biol. 12 (1993) 106–113
Nolle, F.M.: ARGUS, a Clinical Computer System for Monitoring Electrocardiographic Rhythms. D.Sc.dissertation, Washington Univ., St. Louis Mo. (1972)
Kowalski, H.A., Skorupski, A.: Prototyping of ECG Analysis Methods for Real-Time Applications. In: VII Mediterranean Conference on Medical and Biological Engineering Medicon’95. Jerusalem (1995) 54
Kowalski, H.A., Skorupski, A., Szymański, Z., Jędrasik, P., Wojciechowski, D.: Computer Analysis of Electrocardiograms: Validation with the CSE Database. In: 2nd International Congress Polish Cardiac Society. Polish Heart Journal 49 (1998) Sup.I:156.
Shapiro, W., Berson, A.S., Pipberger, H.V: Differences Between Supine and Sitting Frank-Lead Electrocardiograms. J. Electrocardiol. 9 (1976) 303–308
Jedrasik, P., Kowalski, H.A., Wojciechowski, D., Skorupski, A., Gnilka, A., Mikolajewski, A., Sionek, P., Ozimek, W., Wróblewska-Kaluzewska, M.: Heart Rate Variability in Children After Total Repair of Tetralogy of Fallot: An Autonomie Nervous System Dysfunction?. In: The Second World Congress of Pediatrie Cardiology and Cardiac Surgery Honolulu (1997) 921–923
Jedrasik, P., Wojciechowski, D., Lewandowski, Z., Kowalski, H.A., Wróblewska-Kaluzewska, M.: Does Time After Repair of Fallot Tetralogy Increase the Risk of Occurrence of Factors Having Influence on Electrical Function of the Heart?. In: 11th World Symposium on Cardiac Pacing and Electrophysiology. Pace 22 (1999) A35
Pipberger, H.V., Carter, T.N.: Analysis of the Normal and Abnormal Vectorcardiogam in its own Reference Frame. Circulation 25 (1962) 827–840
Kowalski, H.A., Skorupski, A., Jędrasik, P., Wojciechowski, D., Kacprzak, P., Zych, R.: Automatic Rhythm Analysis Using SPART Method. In: Proceedings Computers in Cardiology 1999, Vol. 26. IEEE Computer Society Press, Piscataway (1999) 515–518
Commission of the European Communities, Medical and Public Health Research (Willems J.L. CSE Project Leader).: Common Standards for Quantitative Electrocardiography, CSE Multilead Atlas. CSE Ref. 88-04.15 Acco Publ., Leuven Belgia, (1988)
Schalkoff, R.J.: Pattern Recognition: Statistical, Structural and Neural Approaches. John Wiley & Sons, New York (1992)
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Kowalski, H.A. et al. (2001). Cardiac Rhythm Analysis Using Spatial ECG Parameters and SPART Method. In: Skarbek, W. (eds) Computer Analysis of Images and Patterns. CAIP 2001. Lecture Notes in Computer Science, vol 2124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44692-3_36
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DOI: https://doi.org/10.1007/3-540-44692-3_36
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