Identification of Physiological and Pathological Patterns of Vertical Posture Regulation Using a Kohonen Neural Network with Stabilometry Data

A prospective study using force platform test results from 65 patients with loss of balance in the recovery period of ischemic cerebral stroke and 65 presumptively healthy subjects demonstrated that patterns of regulation of vertical posture in healthy individuals and patients with cerebral catastro...

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Published inBiomedical engineering Vol. 57; no. 1; pp. 61 - 64
Main Authors Stepanyan, I. V., Grokhovskii, S. S., Yastrebtseva, I. P., Kubryak, O. V.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.05.2023
Springer
Springer Nature B.V
Subjects
Analysis
Biomaterials
Biomedical and Life Sciences
Biomedicine
Center of pressure
Data processing
Energy
Engineering
Force plates
Ischemia
Laws, regulations and rules
Neural networks
Physiological aspects
Physiology
Posture
Stroke
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ISSN0006-3398
1573-8256
DOI10.1007/s10527-023-10268-w

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Summary:A prospective study using force platform test results from 65 patients with loss of balance in the recovery period of ischemic cerebral stroke and 65 presumptively healthy subjects demonstrated that patterns of regulation of vertical posture in healthy individuals and patients with cerebral catastrophe could be roughly discriminated by analysis of the energy intensity of migrations of the trajectory of the common center of pressure on the support using a competitive self-organizing Kohonen neural network.
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ISSN:0006-3398
1573-8256
DOI:10.1007/s10527-023-10268-w