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Biomedical subjects

O K Rybak

Publications and source records attributed to O K Rybak.

5 recordsLinked to original sources
PubMed1989

[Automatic electrocardiographic diagnosis of the main types of arrhythmia at a remote cardiologic consultation and diagnostic center].

A combination of methods based on hardware, software and mathematical support, was used to filter an ECG signal, transmitted telemetrically to the computer. Clusterization of P-Q and R-R intervals was used as primary informative ECG signs, providing the basis for the diagnosis of the type of heart rhythm disorder. The comparison was made by correlation of ranges. An algorithm, based on unconventional clinical signs, was developed. An analysis of 672 electrocardiograms has demonstrated that mean sensitivity of the proposed automated diagnosis of the basic heart rhythm is 96.9%, and its specificity is 98.0%.

Algorithms↗
PubMed1985

[Automatic electrocardiographic diagnosis of myocardial infarct in the system of a long-distance consultation and diagnostic cardiology center].

A newly-developed method and algorithm for the analysis of electrocardiograms received by telephone is described. Instrumental, mathematical and programmed valid signal filtering from interfering noises was used. High sensitivity of the method in the identification and measurement of electrocardiographic waves and intervals is demonstrated. The diagnosis of myocardial infarction on the basis of the newly-developed criteria showed a 91.3% sensitivity and a 98.0% specificity; computerized verdict of ST changes showed a 90.6% sensitivity and a 93.0% specificity.

Cardiac Care Facilities↗
PubMed1977

[Continuous automatic analysis of the ECG with the aid of a computer with cardiosignal input directly from the patient. 1. Isolation of the active signal of the ECG, identification and measurement of its elements].

Because when fed to an on-line computer the ECG information carries a good deal of noise, of prime importance is devising a method for representation and filtration of the useful asignal. It is shown that in order to separate the ueful signal with a protracted direct ECG input from the patient to a computer the use of the proposed modified method of coherent accumulation is advisable. This modification envisages a step-wise solution of the following problems: current diagnosis of arrhythmic contractions exclusion of arrhythmic contractions from the accumulation procedure, automatic search of the normal duration of the RR intervals, equalization of the RRh intervals duration, statistical averaging of the obtained quantum values. The devised modification of the coherent accumulation method, while considerably increasing the noise-immunity of the algorhythm, enables it to effect a direct long-term automatic analysis of the ECG at intensive care units. The identification and measurement of the ECG waves and intervals are done through and automatic selection of the curve elements search zones, finding local maxima and also of the commencement and end of waves by using the method of the "moving window" with an adaptive evaluation of the first signal derivative intensity.

Adolescent↗
PubMed1977

[Continuous automatic ECG analysis using a computer with the cardiac signal directly led in from the patient (II). The diagnosis of heart rhythm disorders using a computer].

It is shown that appraisal and comparison of the duration of the R-R intervals in continuous surveillance of patients by means of electronic computers on the on-line regimen provides for automatic diagnosis of most types of disorders of the cardiac rhythm. The elaborated criterion of arrhythmic cardiac contraction (ACR-R), which takes into account not only the absolute value of the time between heart contractions but also the trend of the changes in the next R-R interval, provides a high percentage of revealed arrhythmic contractions. Disorders of the rate of cardiac contractions may be diagnosed by means of an electronic computer by comparison between the mean value of intervals of normal duration and the preset threshold values. Disorders of the rhythm may be diagnosed by means of an electronic computer by assessment and comparison of the arrangement of the combinations of short, normal, and long R-R intervals. The elaborated algorithms are described in detail and the block diagrams of the programs are shown.

Arrhythmia, Sinus↗