Computer analysis of rest and exercise electrocardiograms.

Abstract The Dalhousie Program imposes rigid performance specifications and employs some new techniques. It can accommodate the three Frank orthogonal leads or six bipolar leads, which it computationally combines into three orthogonal leads of electrocardiograms (ECG). Each individual component lead is subjected to quality control, including noise abatement, thus providing pure signals. If the root-mean-square value of noise is less than 60 μV then in 95% of all measurements the measurement precision is ±10 msec for QRS duration, ±20 msec for other intervals, and ±25 μV for amplitudes. Patterns of all QRS complexes found are analyzed, using clustering techniques; and the members of the homogeneous majority cluster are averaged, using cross correlation for alignment of the complexes. The result is considered as the representative complex. The diagnostic program of Pipberger is used for clinical interpretation of the rest ECG. A modified diagnostic program is used in epidemiology studies, based on combined utilization of ECG and clinical information. The diagnostic program for interpretation of the exercise ECG is based on vector analysis of the ST-segment waveform.

[1]  R E Bonner,et al.  Computer diagnosis of electrocardiograms. II. A computer program for EKG measurements. , 1968, Computers and biomedical research, an international journal.

[2]  H. Pipberger,et al.  Computer classifications of electrocardiograms. , 1967, Computers and biomedical research, an international journal.

[3]  R. Stacy,et al.  Computers in biomedical research , 1967 .

[4]  J DITZEL,et al.  CLINICAL ASSESSMENT OF THE PERORAL METOPIRONE TEST. , 2009, Acta medica Scandinavica.

[5]  L STARK,et al.  COMPUTER PATTERN RECOGNITION TECHNIQUES: SOME RESULTS WITH REAL ELECTROCARDIOGRAPHIC DATA. , 1963, IEEE transactions on bio-medical engineering.

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

[7]  H BLACKBURN,et al.  THE EXERCISE ELECTROCARDIOGRAM; EXPERIENCE IN ANALYSIS OF "NOISY" CARDIOGRAMS WITH A SMALL COMPUTER. , 1965, American heart journal.

[8]  P M Rautaharju DETERMINISTIC TYPE WAVEFORM ANALYSIS IN ELECTROCARDIOGRAPHY * , 1966, Annals of the New York Academy of Sciences.

[9]  E. Simonson,et al.  The Electrocardiogram in Population Studies: A Classification System , 1960, Circulation.

[10]  W J CARBERY,et al.  Computer Extraction of Electrocardiographic Parameters , 1962, Circulation.

[11]  H V PIPBERGER,et al.  Automatic Recognition of Electrocardiographic Waves by Digital Computer , 1961, Circulation research.

[12]  C W Brandon,et al.  A hardware trigger for temporal indexing of the electrocardiographic signal. , 1970, Computers and biomedical research, an international journal.

[13]  L. T. Sheffield,et al.  On‐line Analysis of the Exercise Electrocardiogram , 1969, Circulation.

[14]  Patrick E. Mantey,et al.  Digital filtering with applications to electrocardiogram processing , 1968 .