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Многофункциональные интеллектуальные мобильные системы для непрерывного контроля и управления функциональным состоянием органов и систем человека на основе анализа сложномодулированных системных ритмов

Многофункциональные интеллектуальные мобильные системы для непрерывного контроля и управления функциональным состоянием органов и систем человека на основе анализа сложномодулированных системных ритмов

Abstract

In article methods, models and algorithms of intellectual support in mobile monitoring systems and managements of a functional condition of bodies and systems of the person which are based on the analysis of the difficult modulated signals of system rhythms are considered. The most perspective ways of creation of intellectual technologies for forecasting of a functional condition of bodies and systems in the course of monitoring of their activity, and also for management of therapeutic influences are considered. For synthesis of the operating influences which are carried out by means of mobile systems of monitoring, it is offered to use neuronetwork qualifiers and indistinct logic of decision-making.

Рассматриваются методы, модели и алгоритмы интеллектуальной поддержки в мобильных системах контроля и управления функциональным состоянием органов и систем человека, которые основаны на анализе сложномодулированных сигналов системных ритмов. Рассмотрены наиболее перспективные пути создания интеллектуальных технологий для прогнозирования функционального состояния органов и систем в процессе мониторинга их жизнедеятельности, а также для управления терапевтическими воздействиями. Для синтеза управляющих воздействий, осуществляемых посредством мобильных систем мониторинга, предлагается использовать нейросетевые классификаторы и нечеткую логику принятия решений.

Keywords

МОБИЛЬНЫЕ МЕДИЦИНСКИЕ СИСТЕМЫ, МЕДЛЕННЫЕ ВОЛНЫ, КОНТРОЛЬ ПАРАМЕТРОВ ФИЗИОЛОГИЧЕСКИХ ПРОЦЕССОВ, ЭКСПРЕСС-ДИАГНОСТИКА, УПРАВЛЕНИЕ ФУНКЦИОНАЛЬНЫМ СОСТОЯНИЕМ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average