Validation of video-assisted computer vision goniometry to measure shoulder abduction motor function | Demkin | Genij Ortopedii

Genij Ortopedii
Genij ortopedii

ISSN 1028-4427 (Print)
ISSN 2542-131X (Online)

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Demkin S.A., Malyakina A.A., Akhramovich S.A., Kaplunov O.A., Obramenko I.E., Simonova I.E. Validation of video-assisted computer vision goniometry to measure shoulder abduction motor function. Genij Ortopedii. 2025;31(4):424-432. https://doi.org/10.18019/1028-4427-2025-31-4-424-432

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ISSN 1028-4427 (Print)
ISSN 2542-131X (Online)

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About the Authors

S. A. Demkin
Volgograd State Medical University
Russian Federation

Sergey A. Demkin — Candidate of Medical Sciences, Senior Lecturer

Volgograd

A. A. Malyakina
Volgograd State Medical University
Russian Federation

Anastasia A. Malyakina — Assistant Professor

Volgograd

S. A. Akhramovich
LLC «Meta-Technologies»
Russian Federation

Sergey A. Akhramovich — General Director

Moscow

O. A. Kaplunov
Volgograd State Medical University
Russian Federation

Oleg A. Kaplunov — Doctor of Medical Sciences, Professor, Professor of the Department

Volgograd

I. E. Obramenko
Volgograd State Medical University
Russian Federation

Irina E. Obramenko — Doctor of Medical Sciences, Associate Professor, Associate Professor of the Department

Volgograd

I. E. Simonova
Volgograd State Technical University
Russian Federation

Irina E. Simonova — Candidate of Physical and Mathematical Sciences, Associate Professor, Associate Professor of the Department

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