DPAR grammars for ECG diagnosis justification

Piotr Flasiński

Abstrakt

A novel model of dynamically programmed attributed regular grammars, DPAR, for the ECG diagnosis justification purposes is presented in the paper. A formal model, power properties and a case of DPAR grammar are described. The formalism of DPAR grammars allows to differentiate between certain subclasses of ECG phenomena.

Słowa kluczowe: syntactic pattern recognition, ECG analysis, diagnostic justification
References

[1] Belferte G., De Mori R., Ferraris F., A contribution to the automatic processing of electrocardiograms using syntactic methods. IEEE Trans. Biomed. Eng., 1979, 26, pp. 125-136.

[2] Bunke H.O., Sanfeliu A. (eds.), Syntactic and Structural Pattern Recognition - Theory and Applications. World Scientific, Singapore, 1990.

[3] Cianciolo A.T., Williams R.G., Klamen D.L., Roberts N.K., Biomedical knowledge, clinical cognition and diagnostic justification: a structural equation model. Medical Education, 2013, 47, pp. 309-316.

[4] Flasi´nski M., Flasi´nski P., Konduracka E., On the use of programmed automata for verification of ECG diagnoses. Advances in Intelligent Systems and Computing 226, Springer, Berlin-Heidelberg-New York, 2013, pp. 591–599.

[5] Flasi´nski P., Syntactic pattern recognition of ECG for diagnostic justification. Machine Graphics & Vision International Journal, 2014, 24, 3/4, pp. 43–55.

[6] Fu K.S., Syntactic Pattern Recognition and Applications. Prentice Hall, Englewood Cliffs, 1982.

[7] Gilhooly K.J., McGeorge P., Hunter J. et al., Biomedical knowledge in diagnostic thinking: the case of electrocardiogram (ECG) interpretation. European Journal of Cognitive Psychology, 1997, 9, pp. 199–223.

[8] Gonzales R.C., Thomason M.G., Syntactic Pattern Recognition: An Introduction. Addison-Wesley, Reading, 1978.

[9] Horowitz S.L., A syntactic algorithm for peak detection in waveforms with applications to cardiography. Comm. ACM, 1975, 18, pp. 281–285.

[10] Kolykhalov I.V., Iznak, A.F., Chayanov N.V. et al., EEG mapping in diagnostic assessment of patients with mild dementia. European Neuropsychopharmacology, 1997, 7, pp. 248.

[11] Koski A., Juhola M., Meriste M., Syntactic recognition of ECG signals by attributed finite automata. Pattern Recognition, 1995, 28, pp. 1927–1940.

[12] McLaughlin K.J.,The Contribution of Analytic Information Processing to Diagnostic Performance in Medicine, Ph.D. Thesis, Erasmus University Rotterdam, 2007.

[13] Papakonstantinou G., Skordalakis E., Gritzali F., An attribute grammar for QRS detection. Pattern Recognition, 1986, 19, pp. 297–303.

[14] Patel V., Groen G., Knowledge based solution strategies in medical reasoning. Cognitive Science, 1986, 10, pp. 91–116.

[15] Pavlidis T., Structural Pattern Recognition. Springer, New York, 1997.

[16] Pi¸etka E., Feature extraction in computerized approach to the ECG analysis. Pattern Recognition 1991, 24, pp. 139–146.

[17] Skordalakis E., Syntactic ECG processing: a review. Pattern Recognition 1986, 19, pp. 305–313, .

[18] Stallmann F.W., Pipberger H.V., Automatic recognition of electrocardiographic waves by digital computer. Circ. Res., 1961, 9, pp. 1138–1143.

[19] Tadeusiewicz R., Ogiela M.R., Medical Image Understanding Technology. Springer, Berlin-Heidelberg-New York, 2004.

[20] Trahanias P., Skordalakis E., Syntactic pattern recognition of the ECG. IEEE Trans. Patt. Analysis Mach. Intell., 1990, 12, pp. 648–657.

[21] Tumer M.B., Belfore L.A., Ropella K.M., A syntactic methodology for automatic diagnosis by analysis of continuous time measurements using hierarchical signal representations. IEEE Trans. on Syst. Man Cybern., 2003, 33, pp. 951–965.

[22] Udupa J., Murthy I.S.N., Syntactic approach to ECG rhythm analysis. IEEE Trans. Biomed. Eng., 1980, 27, pp. 370–375.

Czasopismo ukazuje się w sposób ciągły on-line.
Pierwotną formą czasopisma jest wersja elektroniczna.

Wersja papierowa czasopisma dostępna na www.wuj.pl