Open AccessNeural network analysis of heart rhythm variability for diagnosis of immobilization syndrome and objectivization of effectiveness of early rehabilitation
Author(s) -
Julia Nekrasova,
Некрасова Юлия Юрьевна,
D. S. Yankevich,
Янкевич Дмитрий Станиславович,
Mikhail Kanarskii,
Mikhail Kanarskii,
Adrian Markov,
Марков Атон Сергеевич
Publication year - 2020
Publication title -
mediko-socialʹnaâ èkspertisa i reabilitaciâ/mediko-socialʹnaâ èkspertiza i reabilitaciâ
Language(s) - English
Resource type - Journals
eISSN - 2412-2092
pISSN - 1560-9537
DOI - 10.17816/mser34233
Subject(s) - rehabilitation , heart rate variability , medicine , heart rhythm , physical medicine and rehabilitation , medical care , intensive care , physical therapy , intensive care medicine , heart rate , emergency medicine , cardiology , blood pressure
The article discusses the use of a neural network analysis of heart rate variability for the diagnosis of immobilization syndrome and post-intensive care syndrome (PICS) in patients with disorders of consciousness for monitoring the quality of the rehabilitation process. It is shown that there are statistical differences between the curves characterizing the heart rate variability of healthy patients and patients with impaired consciousness. The use of a neural network allows to automatically evaluate the severity of the immobilization syndrome and Post Intensive Care Syndrome, as well as the effectiveness of measures for their prevention and the overall quality of the work of medical personnel.