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Feature Extraction from ECG Waveforms; Techniques Used by Automatic Analysis Systems and Clinical Observers Compared and Contrasted

  • A. Murray
Chapter
Part of the Developments in Cardiovascular Medicine book series (DICM, volume 37)

Abstract

Techniques in current use for automatic feature extraction are examined and comparisons are made with visual techniques in an attempt to discover new approaches to automatic analysis of 24 h ECG recordings.

Keywords

Feature Extraction IEEE Computer Society Feature Extraction Technique Artificial Pacemaker Automatic Feature Extraction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Anderson, C.M., Sanders, W.J. and Harrison, D.C. 1980. Comparing the morphologies of ECG waveforms in frequency space. In “Computers in Cardiology” (Ed. K.L. Ripley and H.G. Ostrow). (IEEE Computer Society, Los Angeles). pp. 15–19.Google Scholar
  2. Armington, R.M., Graboys, T.B., Lown, B. and Lenson, R. 1978. Semiautomated data reduction of ventricular ectopic activity: methodology and clinical application. Med. Instrum., 12, 340–342.PubMedGoogle Scholar
  3. Attuel, P., Rosengarten, M., Leclercq, J.F., Milosevic, D., Mugica, J. and Coumel, Ph. 1981. Computer quantitated evaluation of cardiac arrhythmias. PACE, 4, 23–35.PubMedGoogle Scholar
  4. Biella, M., Contini, C., Kraft, G., Marchesi, C., Mazzocca, G.F. and Taddei, A. 1979. A minicomputer based system for automatic analysis of 24 hour ECG and its evaluation. In “Computers in Cardiology” (Ed. K.L. Ripley and H.G. Ostrow). (IEEE Computer Society, Long Beach, California). pp. 201–204.Google Scholar
  5. Birman, K.P., Rolnitzky, L.M. and Bigger, J.T. 1978. A shape oriented system for automated Holter ECG analysis. In “Computers in Cardiology” (Ed. K.L. Ripley and H.G. Ostrow). (IEEE Computer Society, Long Beach, California). pp. 217–220.Google Scholar
  6. Bragg-Remschel, D.A., Anderson, C.M. and Winkle, R.A. 1982. Frequency response characteristics of ambulatory ECG monitoring systems and their implications for ST segment analysis. Am. Heart J., 103, 20–31.PubMedCrossRefGoogle Scholar
  7. Bragg-Remschel, D.A. and Harrison, D.C. 1980. A computerized two channel ambulatory arrhythmia analysis system. In “Computers in Cardiology” (Ed. K.L. Ripley and H.G. Ostrow). (IEEE Computer Society, Long Beach, California). pp. 197–200.Google Scholar
  8. Cashman, P.M.M. 1978. A pattern-recognition program for continuous ECG processing in accelerated time. Comp. Biomed. Res. 11, 311–323.CrossRefGoogle Scholar
  9. Cashman, P.M.M. and Stott, F.D. 1974. A semi-automatic system for the analysis of 24 hour ECG recordings from ambulant subjects. Biomed. Eng., 9, 54–57.PubMedGoogle Scholar
  10. Clark, K.W., Hitchens, R.E., Ritter, J.A., Rankin, S.L., Oliver, G.C. and Thomas, L.J. 1977. Argus/2H: a dual channel Holter-tape analysis system. In “Computers in Cardiology” (Ed. H.G. Ostrow and K.L. Ripley). (IEEE Computer Society, Long Beach, California). pp. 191–198.Google Scholar
  11. Fancott, T., Wong, D. and Lemire, J. 1980. A software implementation of a high speed Holter ECG tape analysis system for a single small processor. In “Computers in Cardiology” (Ed. K.L. Ripley and H.G. Ostrow). (IEEE Computer Society, Los Angeles). pp. 131–134.Google Scholar
  12. Feldman, C.L., Hubelbank, M., Lane, B. and Valvo, V. 1980. Performance enhancement of a Holter processing system with microprocessor controlled over-reading stations and remote terminals. In “Computers in Cardiology” (Ed. K.L. Ripley and H.G. Ostrow). (IEEE Computer Society, Los Angeles). pp. 127–130.Google Scholar
  13. Gradman, A.H. and Lewis, J.W. 1978. YALECG: a new system for computer analysis of ambulatory electrocardiograms. In “Computers in Cardiology” (Ed. K.L. Ripley and H.G. Ostrow). (IEEE Computer Society, Long Beach, California). pp. 211–214.Google Scholar
  14. Gymoese, E., Andersen, J.D. and Sandoe, E. 1978. Random access mass storage ECG-analysis system (RAMSES): a new system for quantitative analysis of long-term ECGs. In “Computers in Cardiology” (Ed. K.L. Ripley and H.G. Ostrow). (IEEE Computer Society, Long Beach, California). pp. 221–224.Google Scholar
  15. Gymoese, E., Larsen, I.A., Andersen, J.D. and Sandoe E. 1975. A system for high-speed scanning of electrocardiographic tapes based on sequences of computer generated static TV pictures. In “Computers in Cardiology” (Ed. K.L. Ripley and H.G. Ostrow). (IEEE Computer Society, Long Beach, California). pp. 3–6.Google Scholar
  16. Hansmann, D.R. and Sheppard, J.J. 1975. The new Dyna-Gram system for high speed analysis of ambulatory ECG. In “Computers in Cardiology” (Ed. K.L. Ripley and H.G. Ostrow). (IEEE Computer Society, Long Beach, California). pp. 155–159.Google Scholar
  17. Higgins, S.B., Woosley, R.L., Herrin, C.B., Compton, J.L. and Harris, T.R. 1978. A minicomputer based system for the quantification of ventricular arrhythmias. In “Computers in Cardiology” (Ed. K.L. Ripley and H.G. Ostrow). (IEEE Computer Society, Long Beach, California). pp. 355–358.Google Scholar
  18. Holter, N.J. 1961. New method for heart studies. Science, 134, 1214–1220.PubMedCrossRefGoogle Scholar
  19. Jenkins, J.M., Wu, D. and Arzbaecher, R.C. 1979. Computer diagnosis of supraventricular and ventricular arrhythmias. Circulation, 60, 977–987.PubMedGoogle Scholar
  20. Joskowicz, G., Balatka, H., Glogar, D., Weber, H. and Steinbach, K. 1979. A high speed digital Holter tape analysis with full editing capability. In “Computers in Cardiology” (Ed. K.L. Ripley and H.G. Ostrow). (IEEE Computer Society, Long Beach, California). pp. 277–280.Google Scholar
  21. Kelen, G.J., Bloomfield, D.A., Hardage, M., Gomes, J.A., Khan, R., Gopalaswamy, C. and El Sherif, N. 1980. A clinical evaluation of an improved Holter monitoring technique for artificial pacemaker function. PACE, 3, 192–197.PubMedGoogle Scholar
  22. Kinias, P., Norusis, M. and Fozzard, H.A. 1978. A dual-processor computer for arrhythmia analysis. Med. Instrum., 12, 330–331.PubMedGoogle Scholar
  23. Knoebel, S.B. and Lovelace, D.E. 1978. A two-dimensional clustering technique for identification of multiform ventricular complexes. Med. Instrum., 12, 332–333.PubMedGoogle Scholar
  24. Macfarlane, P.W., McClung, J., Irving, A., Watts, M.P., Taylor, T.P. and Lawrie, T.D.V. 1979. Computer assisted analysis of dynamic (24-hour) electrocardiograms. In “Progress in Electrocardiography” (Ed. P.W. Macfarlane). (Tunbridge Wells, Pitman Medical). pp. 123–126.Google Scholar
  25. Mead, C.N., Cheng, J-S, Hitchens, R.E., Spenger, B.F. and Thomas, L.J. 1979. Recent progress in frequency-domain analysis of the ECG. In “Computers in Cardiology” (Ed. K.L. Ripley and H.G. Ostrow). (IEEE Computer Society, Long Beach, California). pp. 43–47.Google Scholar
  26. Monster, A.W., O’Connor, D. and Chan, H. 1978. Rapid scanning of ambulatory EKG recordings using several computers operating in parallel. In “Computers in Cardiology” (Ed. K.L. Ripley and H.G. Ostrow). (IEEE Computer Society, Long Beach, California). pp. 33–38.Google Scholar
  27. Morganroth, J. Michelson, E.L., Horowitz, L.N., Josephson, M.E., Pearlman, A.S. and Dunkman, W.B. 1978. Limitations of routine long-term electrocardiographic monitoring to assess ventriculare ctopic frequency. Circulation, 58, 408–414.PubMedGoogle Scholar
  28. Murray, A., Campbell, R.W.F. and Julian, D.G. 1979. Operator-controlled computer system for analysis of 24 hour electrocardiographic recordings. In “Computers in Cardiology” (Ed. K.L. Ripley and H.G. Ostrow). (IEEE Computer Society, Long Beach, California). pp. 197–199.Google Scholar
  29. Murray, A., Jordan, R.S. and Gold, R.G. 1981. Pacemaker assessment in the ambulant patient. Br. Heart J., 46, 531–538.PubMedCrossRefGoogle Scholar
  30. Neilson, J.M. 1974. High speed analysis of ventricular arrhythmias from 24 hour recordings. In “Computers in Cardiology”. (IEEE Computer Society, Long Beach, California). pp. 55–59.Google Scholar
  31. Ripley, K.L. and Murray, A. 1980. Introduction to automated arrhythmia detection. (IEEE Computer Society, Long Beach, (California).Google Scholar
  32. Ripley, K.L., Okkerse, R.J., Engelse, W.A.H., Vinke, R.V.H. and Zeelenberg, C. 1980. Implementation of Argus/2H at the Thoraxcentrum. In “Computers in Cardiology” (Ed. K.L. Ripley and H.G. Ostrow). (IEEE Computer Society, Long Beach, California). pp. 135–138.Google Scholar
  33. Rosenberg, N.W. and Tartakovsky, M.B. 1979. The TELAVIV system — Three-channel Evaluation of Long-term ECG records for Atrial and Ventricular Identification and Verification of arrhythmia. In “Computers in cardiology” (Ed. K.L. Ripley and H.G. Ostrow). (IEEE Computer Society, Long Beach, California). pp. 29–32.Google Scholar
  34. Spitz, A.L., Fitzgerald, J.W. and Harrison D.C. 1977. Ambulatory arrhythmia quantification by a correlation technique. In “Computers in Cardiology” (Ed. H.G. Ostrow and K.L. Ripley). (IEEE Computer Society, Long Beach, California). pp. 225–231.Google Scholar
  35. Zywietz, C., Grabbe, W. and Hemple, G. HES LKG, a new program for computer assisted analysis of Holter electrocardiograms. 1981. In “Computers in Cardiology” (Ed. K. L. Ripley). (IEEE Computer Society, Los Angeles). pp. 169–172.Google Scholar

Copyright information

© ECSC, EEC, EAEC, Brussels-Luxembourg 1984

Authors and Affiliations

  • A. Murray
    • 1
  1. 1.Regional Medical Physics DepartmentFreeman HospitalNewcastle upon TyneUK

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