Pattern Recognition in Biological Signals

Biological signals cover a wide range of frequencies, from almost zero, e.g. the signals representing the changes in the menstrual cycle, up to several kHz, e.g. from the electromyogram (see Table 1). In this contribution we will discuss some statistical and other operations on biological signals, especially on the ECG, not only because the latter signal is representive for a time-varying biological phenomenon, but also since the efforts made and the results obtained in electrocardiography are very illustrative for the methods applied to biological signals in general.

[1]  H B Boom,et al.  On-line processing of orthogonal exercise electrocardiograms. , 1975, Computers and biomedical research, an international journal.

[2]  R. K. Helppi,et al.  Computer analysis of rest and exercise electrocardiograms. , 1972, Computers and biomedical research, an international journal.

[3]  J J Bailey,et al.  A Method for Evaluating Computer Programs for Electrocardiographic Interpretation: III. Reproducibility Testing and the Sources of Program Errors , 1974, Circulation.

[4]  L. N. Kanal,et al.  Interactive pattern analysis and classification systems: A survey and commentary , 1972 .

[5]  Alan Halpern.  Computer Diagnosis and Diagnostic Methods , 1974, The Yale Journal of Biology and Medicine.

[6]  S J Hengeveld,et al.  Computer detection of P-waves. , 1976, Computers and biomedical research, an international journal.

[7]  R E Bonner,et al.  A new computer program for analysis of scalar electrocardiograms. , 1972, Computers and biomedical research, an international journal.

[8]  M.E. Womble,et al.  Data compression for storing and transmitting ECG's/VCG's , 1977, Proceedings of the IEEE.

[9]  S. L. Horowitz,et al.  Peak Recognition in Waveforms , 1977 .

[10]  T D Lawrie,et al.  A basis for computer interpretation of serial electrocardiograms , 1975 .

[11]  Jack Perkins.  Biomedical pattern recognition and image processing: Ed. K.S. Fu and T. Pavlidis Verlag Chemie pp. 441, DM 54 , 1981 .

[12]  Laveen N. Kanal,et al.  Patterns in pattern recognition: 1968-1974 , 1974, IEEE Trans. Inf. Theory.

[13]  J J Bailey,et al.  The importance of reproducibility testing of computer programs for electrocardiographic interpretation: application to the automatic vectorcardiographic analysis program (AVA 3.4). , 1976, Computers and biomedical research, an international journal.

[14]  J. Bailey,et al.  A Method for Evaluating Computer Programs for Electrocardiographic Interpretation: II. Application to Version D of the PHS Program and the Mayo Clinic Program of 1968 , 1974, Circulation.

[15]  J L Willems,et al.  Arrhythmia detection by digital computer. , 1972, Computers and biomedical research, an international journal.

[16]  J Wartak,et al.  Logical approach to diagnosing electrocardiograms. , 1969, Journal of electrocardiology.

[17]  L.J. Thomas,et al.  Automated cardiac dysrhythmia analysis , 1979, Proceedings of the IEEE.

[18]  J L Talmon,et al.  Template waveform recognition applied to ECG-VCG analysis. , 1973, Computers and biomedical research, an international journal.

[19]  J. R. Cox,et al.  Digital analysis of the electroencephalogram, the blood pressure wave, and the electrocardiogram , 1972 .

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

[21]  H A Fozzard,et al.  AZTEC, a preprocessing program for real-time ECG rhythm analysis. , 1968, IEEE transactions on bio-medical engineering.

[22]  M. Bertrand,et al.  Microprocessor application for numerical ECG encoding and transmission , 1977, Proceedings of the IEEE.

[23]  J. Cornfield,et al.  Clinical application of a second generation electrocardiographic computer program. , 1975, The American journal of cardiology.

[24]  W. H. Huggins,et al.  The Intrinsic Component Theory of Electrocardiography , 1962 .

[25]  J H van Bemmel,et al.  Clustering algorithm for QRS and ST-T waveform typing. , 1973, Computers and biomedical research, an international journal.

[26]  King-Sun Fu,et al.  Syntactic Pattern Recognition And Applications , 1968 .

[27]  P. W. MacFarlane,et al.  Trends in computer processed electrocardiograms , 1978 .

[28]  J H van Bemmel,et al.  Pattern recognition for ECG-monitoring: an interactive method for the classification of ventricular complexes. , 1973, Computers and biomedical research, an international journal.

[29]  Laveen N. Kanal,et al.  Structural pattern recognition of Carotid pulse waves using a general waveform parsing system , 1976, CACM.