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Registration Number

0214U001409, 0111U005289 , R & D reports

Title

Investigation of changes in the functional state of the human biosignals by means of the energy theory of stochastic signals.

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Head

Shadrina Galina Mykhaylivna,

Registration Date

11-02-2014

Organization

Ternopil National Technical Ivan Puluj University

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The meaningful biosignals (electrocardiosignal, voice signal, the respiratory signal noise) description is made and the adequately reflection of them and selection of time invariant and informative signs for the problem of early medical diagnostics can be carried out on the basis of a mathematical model in the form of stochastic fluctuations. The biosignals mathematical model as a periodically correlated random process is grounded, which, in contrast to the known models takes into account in its structure, periodicity , randomness and time phase structure of these signals. Reasonable biosignals mathematical model as a periodically correlated random process in its structure takes into account a non-stationary nature of the signals , and the stochasticity of oscillations in time, which is essential in the diagnostics of the human body functional state. The component and sinphase methods of statistical biosignals processing with appropriate modifications of these methods, including the stages of the period correlation search for each type of biosignals, in order to find new informative invariant features to enable the evaluation of the functional state of the human body in the early stages of the disease are grounded. It was established that the following criteria are estimates of the correlation components that are sensitive, quantitative indicators biosignals and demonstrate clear signs of changes that occur in the human body. A package of computer programs for statistical processing of biosignals based on modified component and sinphase methods that is suitable for use as a part of a specialized computer software of the automated diagnostic systems. The methods of computer biosignals simulation modeling for verification of the proposed mathematical model and methods of statistical processing are developed.

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Бачинський Михайло Володимирович
Гевко Олена Василівна
Дедів Ірина Юріївна
Дедів Леонід Євгенович
Дозорський Василь Григорович
Дунець Василь Любомирович
Забитівський Василь Петрович
Лещишин Юрій Зіновійович
Никитюк Вячеслав Вячеславович
Промович Юрій Бориславович
Тимчак Михайло Ігорович
Хвостівський Микола Орестович
Шадріна Галина Михайлівна
Яворська Євгенія Богданівна

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2020-04-02