Structural approach to the inverse problems of computational diagnostics in cardiology

Vladimir Aleksandrovich Baranov, Diana Konstantinovna Avdeeva, Pavel Genad evich Pen'kov, Michael Mikhaylovich Yuzhakov, Michael Georgievich Grigoriev

Результат исследований: Материалы для журналаСтатья

Выдержка

The methods to identify the structural invariants of the evolving test object using projection data are offered within the framework of the group-theoretical statistical approach. The essence of the inverse reconstructive problem within the structural approach is investigated. The features of the inverse problems arising in the study of developing open system are discussed. The advantages of the stroboscopic data acquisition in hardware-software implementation of the group-theoretical statistical reconstructive methods are explored. The concept of phase time is introduced, and the methods of stroboscopic reconstructive diagnostics in phase time are developed. The electrocardiogram (ECG)-controlled systems for X-ray medical reconstructive diagnostics are designed. The basic types of reconstructive problems for evolving test objects are considered.

Язык оригиналаАнглийский
Номер статьиBM-024
ЖурналBiology and Medicine
Том6
Номер выпуска2
СостояниеОпубликовано - 2014

Отпечаток

Cardiology
Inverse problems
Open systems
Electrocardiography
Data acquisition
Statistical methods
Hardware
X rays
Software
X-Rays

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Цитировать

Structural approach to the inverse problems of computational diagnostics in cardiology. / Baranov, Vladimir Aleksandrovich; Avdeeva, Diana Konstantinovna; Pen'kov, Pavel Genad evich; Yuzhakov, Michael Mikhaylovich; Grigoriev, Michael Georgievich.

В: Biology and Medicine, Том 6, № 2, BM-024, 2014.

Результат исследований: Материалы для журналаСтатья

Baranov, Vladimir Aleksandrovich ; Avdeeva, Diana Konstantinovna ; Pen'kov, Pavel Genad evich ; Yuzhakov, Michael Mikhaylovich ; Grigoriev, Michael Georgievich. / Structural approach to the inverse problems of computational diagnostics in cardiology. В: Biology and Medicine. 2014 ; Том 6, № 2.
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AU - Yuzhakov, Michael Mikhaylovich

AU - Grigoriev, Michael Georgievich

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