Application of EMG-signal phase portraits for differentiation of musculoskeletal system diseases

Tatyana V. Zhemchuzhkina; Sergii M. Zlepko; Tatyana V. Nosova; Valerii V. Semenets; Oleksii V. Kirichek; Marcin Maciejewski; Ainur Ormanbekova

doi:10.1117/12.2537338

6 November 2019 Application of EMG-signal phase portraits for differentiation of musculoskeletal system diseases

Tatyana V. Zhemchuzhkina, Sergii M. Zlepko, Tatyana V. Nosova, Valerii V. Semenets, Oleksii V. Kirichek, Marcin Maciejewski, Ainur Ormanbekova

Author Affiliations +

Proceedings Volume 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019; 1117632 (2019) https://doi.org/10.1117/12.2537338
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 2019, Wilga, Poland

Abstract

This article examines the dependence of the set of parameters of the phase portrait of an EMG signal on age, sex, and the diagnosis of the examined by methods of statistical analysis. the work is carried out on the basis of the results of the examination in four groups of patients: practically healthy without complaints; conditionally healthy with complaints of back pain; vertebral patients; patients with scoliosis. the studies were conducted in collaboration with the laboratory of pathophysiology of the Sitenko institute of spine and joint pathology Ukrainian academy of medical sciences. the study was performed with 102 people of both sexes aged 18 to 76 were examined. statistical processing of samples to identify statistically significant correlations of the parameters of the phase portrait of the EMG signal with the age and sex of the subject was conducted. statistically significant differences were not found. statistical processing of the sample to identify statistically significant correlations between the group to which the patient belongs, and each indicator of the phase portrait was conducted. the groups of practically healthy patients without complaints and conditionally healthy patients with complaints of back pain are not statistically significantly different for each parameter of the phase portrait. However, between patients without pathologies, vertebral patients and patients with scoliosis, a statistically significant difference was found for seven parameters of the phase portrait. The perspective of the work is the construction of models for classifying patients according to the parameters of phase portraits of surface electromyography data.

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Tatyana V. Zhemchuzhkina, Sergii M. Zlepko, Tatyana V. Nosova, Valerii V. Semenets, Oleksii V. Kirichek, Marcin Maciejewski, and Ainur Ormanbekova "Application of EMG-signal phase portraits for differentiation of musculoskeletal system diseases", Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 1117632 (6 November 2019); https://doi.org/10.1117/12.2537338

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KEYWORDS

Electromyography

Statistical analysis

Pathology

Signal processing

Computing systems

Data modeling

Analytical research

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