STATISTICAL FORECASTING OF THE MAXIMUM BOUNDARY OF THE CARDIORESPIRATORY SYNCHRONIZATION RANGE

We conducted a statistical analysis of the data, which are included in the regulatory and adaptive capabilities (RAC) estimation algorithm, to obtain the forecasting of maximum boundary (Max.B.) of synchronization range of cardiac and respiratory rhythms, in order to minimize the definition time of...

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Main Authors: V. M. Pokrovskii, S. V. Usatikov, T. V. Shkirya, L. V. Polischuk
Formato: Artigo
Idioma:Russo
Publicado: Ministry of Healthcare of the Russian Federation. “Kuban State Medical University” 2015-06-01
Series:Кубанский научный медицинский вестник
Assuntos:
сердечно-дыхательный синхронизм
статистическое прогнозирование
нейросетевая регрессия
cardiorespiratory synchronization
statistical forecasting
neural network regression
Acceso en liña:https://ksma.elpub.ru/jour/article/view/334
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