Classification of Vectorcardiograms Using Walsh And Cosine Orthogonal Transforms

In this study, the usefulness of two-dimensional transforms in classifying human vectorcardiograms is investigated. The transforms used are the Walsh-Hadamard (WHT) and the discrete cosine (DCT). Experimental results included in the paper demonstrate that about 80-85 percent correct classification may be achieved.

[1]  Harry C. Andrews,et al.  Multidimensional Rotations in Feature Selection , 1971, IEEE Transactions on Computers.

[2]  Peter E. Hart,et al.  Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.

[3]  King-Sun Fu,et al.  On the generalized Karhunen-Loeve expansion (Corresp.) , 1967, IEEE Trans. Inf. Theory.

[4]  Thomas W. Calvert,et al.  Feature Enhancement of Vectorcardiograms by Linear Normalization , 1971, IEEE Transactions on Computers.

[5]  Keinosuke Fukunaga,et al.  Application of the Karhunen-Loève Expansion to Feature Selection and Ordering , 1970, IEEE Trans. Computers.

[6]  H V Pipberger,et al.  Computer methods in electrocardiography. , 1975, Annual review of biophysics and bioengineering.

[7]  C. G. Hilborn,et al.  The Condensed Nearest Neighbor Rule , 1967 .

[8]  T Y YOUNG,et al.  ON THE REPRESENTATION OF ELECTROCARDIOGRAMS. , 1963, IEEE transactions on bio-medical engineering.

[9]  N. Ahmed,et al.  Discrete Cosine Transform , 1996 .

[10]  A. Wayne Whitney,et al.  A Direct Method of Nonparametric Measurement Selection , 1971, IEEE Transactions on Computers.

[11]  Anthony N. Mucciardi,et al.  A Comparison of Seven Techniques for Choosing Subsets of Pattern Recognition Properties , 1971, IEEE Transactions on Computers.

[12]  A. C. Young,et al.  Factor Analysis of the Electrocardiogram: Test of Electrocardiographic Theory Normal Hearts , 1960, Circulation research.

[13]  B. Chandrasekaran,et al.  Independence of measurements and the mean recognition accuracy , 1971, IEEE Trans. Inf. Theory.

[14]  H V PIPBERGER,et al.  Digital computer analysis of the normal and abnormal electrocardiogram. , 1963, Progress in cardiovascular diseases.

[15]  Allan R. Hambley,et al.  The Use of Intrinsic Components in an ECG Filter , 1974 .

[16]  Peter E. Hart,et al.  The condensed nearest neighbor rule (Corresp.) , 1968, IEEE Trans. Inf. Theory.

[17]  J Cornfield,et al.  Multigroup diagnosis of electrocardiograms. , 1973, Computers and biomedical research, an international journal.

[18]  J. Walsh.  A Closed Set of Normal Orthogonal Functions , 1923 .

[19]  Martin D. Levine,et al.  Feature extraction: A survey , 1969 .

[20]  J. Pearl,et al.  Comparison of the cosine and Fourier transforms of Markov-1 signals , 1976 .

[21]  H. Andrews,et al.  Hadamard transform image coding , 1969 .

[22]  M. Woodbury,et al.  A Method for Electrocardiogram Wave‐Pattern Estimation: Example Left Ventricular Hypertrophy , 1961, Circulation research.

[23]  Josef Kittler,et al.  A new approach to feature selection based on the Karhunen-Loeve expansion , 1973, Pattern Recognit..

[24]  G. M. Baule,et al.  Research in electrocardiography and magnetocardiography , 1972 .

[25]  G. F. Hughes,et al.  On the mean accuracy of statistical pattern recognizers , 1968, IEEE Trans. Inf. Theory.