Method of Automated Differential Diagnosis of Human Musculoskeletal Diseases Based on Posturography

Authors

  • O.A. Tiazhelov State Institution «Institute of Spine and Joint Pathology named after Prof. M.I. Sytenko of National Academy of Medical Sciences of Ukraine», Kharkiv Vinnytsia National Medical University named after M.I. Pyrohov, Vinnytsia, Ukraine
  • M.Yu. Karpinskyi State Institution «Institute of Spine and Joint Pathology named after Prof. M.I. Sytenko of National Academy of Medical Sciences of Ukraine», Kharkiv Vinnytsia National Medical University named after M.I. Pyrohov, Vinnytsia, Ukraine
  • O.D. Karpinska State Institution «Institute of Spine and Joint Pathology named after Prof. M.I. Sytenko of National Academy of Medical Sciences of Ukraine», Kharkiv Vinnytsia National Medical University named after M.I. Pyrohov, Vinnytsia, Ukraine
  • S.Yu. Yariomin State Institution «Institute of Spine and Joint Pathology named after Prof. M.I. Sytenko of National Academy of Medical Sciences of Ukraine», Kharkiv Vinnytsia National Medical University named after M.I. Pyrohov, Vinnytsia, Ukraine

DOI:

https://doi.org/10.22141/1608-1706.6.15.2014.81795

Abstract

Method of automated differential diagnosis of human musculoskeletal diseases with the ability to analyze multiple data of human posturography was grounded. Using neural network, there has been proposed a method for functional assessment of the human musculoskeletal system according to posturography data, namely geometrical and energy parameters of posturography with double and single-leg standing which were proposed by the authors. Diagnostic accuracy was 90–95 % in coxarthrosis and 85 % in lumbar osteochondrosis.

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Published

2014-11-01

How to Cite

Tiazhelov, O., Karpinskyi, M., Karpinska, O., & Yariomin, S. (2014). Method of Automated Differential Diagnosis of Human Musculoskeletal Diseases Based on Posturography. TRAUMA, 15(6), 28–32. https://doi.org/10.22141/1608-1706.6.15.2014.81795

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Section

Original Researches

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