DEFINITION AND ANALYSIS OF MOTION ACTIVITY AFTER-STROKE PATIENT FROM THE VIDEO STREAM

This article describes an approach to the assessment of motion activity of man in after-stroke period, allowing the doctor to get new information to give a more informed recommendations on rehabilitation treatment than in traditional approaches. Consider description of the hardware-software complex...

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Main Authors: M. Yu. Katayev, N. G. Katayeva, S. G. Katayev, M. O. Abramov, V. A. Chistyakova
Format: Article
Language:English
Published: Siberian State Medical University (Tomsk) 2014-10-01
Series:Бюллетень сибирской медицины
Subjects:
Online Access:https://bulletin.ssmu.ru/jour/article/view/204
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author M. Yu. Katayev
N. G. Katayeva
S. G. Katayev
M. O. Abramov
V. A. Chistyakova
author_facet M. Yu. Katayev
N. G. Katayeva
S. G. Katayev
M. O. Abramov
V. A. Chistyakova
author_sort M. Yu. Katayev
collection DOAJ
description This article describes an approach to the assessment of motion activity of man in after-stroke period, allowing the doctor to get new information to give a more informed recommendations on rehabilitation treatment than in traditional approaches. Consider description of the hardware-software complex for determination and analysis of motion activity after-stroke patient for the video stream. The article provides a description of the complex, its algorithmic filling and the results of the work on the example of processing of the actual data. The algorithms and technology to significantly accelerate the gait analysis and improve the quality of diagnostics post-stroke patients.
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institution DOAJ
issn 1682-0363
1819-3684
language English
publishDate 2014-10-01
publisher Siberian State Medical University (Tomsk)
record_format Article
series Бюллетень сибирской медицины
spelling doaj-art-3758cdf4517b4653b39a5cd4e4fb9f2a2025-08-20T03:21:42ZengSiberian State Medical University (Tomsk)Бюллетень сибирской медицины1682-03631819-36842014-10-01135364110.20538/1682-0363-2014-5-36-41202DEFINITION AND ANALYSIS OF MOTION ACTIVITY AFTER-STROKE PATIENT FROM THE VIDEO STREAMM. Yu. Katayev0N. G. Katayeva1S. G. Katayev2M. O. Abramov3V. A. Chistyakova4Tomsk State University of Control Systems and Radioelectronics, Tomsk,Siberian State Medical University, TomskTomsk State Pedagogical UniversityNational Research Tomsk State University, TomskSiberian State Medical University, TomskThis article describes an approach to the assessment of motion activity of man in after-stroke period, allowing the doctor to get new information to give a more informed recommendations on rehabilitation treatment than in traditional approaches. Consider description of the hardware-software complex for determination and analysis of motion activity after-stroke patient for the video stream. The article provides a description of the complex, its algorithmic filling and the results of the work on the example of processing of the actual data. The algorithms and technology to significantly accelerate the gait analysis and improve the quality of diagnostics post-stroke patients.https://bulletin.ssmu.ru/jour/article/view/204motion activity of manvideo imageimage processing algorithmshardware-software complex.
spellingShingle M. Yu. Katayev
N. G. Katayeva
S. G. Katayev
M. O. Abramov
V. A. Chistyakova
DEFINITION AND ANALYSIS OF MOTION ACTIVITY AFTER-STROKE PATIENT FROM THE VIDEO STREAM
Бюллетень сибирской медицины
motion activity of man
video image
image processing algorithms
hardware-software complex.
title DEFINITION AND ANALYSIS OF MOTION ACTIVITY AFTER-STROKE PATIENT FROM THE VIDEO STREAM
title_full DEFINITION AND ANALYSIS OF MOTION ACTIVITY AFTER-STROKE PATIENT FROM THE VIDEO STREAM
title_fullStr DEFINITION AND ANALYSIS OF MOTION ACTIVITY AFTER-STROKE PATIENT FROM THE VIDEO STREAM
title_full_unstemmed DEFINITION AND ANALYSIS OF MOTION ACTIVITY AFTER-STROKE PATIENT FROM THE VIDEO STREAM
title_short DEFINITION AND ANALYSIS OF MOTION ACTIVITY AFTER-STROKE PATIENT FROM THE VIDEO STREAM
title_sort definition and analysis of motion activity after stroke patient from the video stream
topic motion activity of man
video image
image processing algorithms
hardware-software complex.
url https://bulletin.ssmu.ru/jour/article/view/204
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