SPECTRAL CHARACTERISTICS OF THE ELECTROMYOGRAPHIC SIGNAL TO ASSESS THE QUALITY OF THERAPY AND REHABILITATION IN PATIENTS WITH LOW BACK PAIN-Reference-Cited by-同舟云学术

SPECTRAL CHARACTERISTICS OF THE ELECTROMYOGRAPHIC SIGNAL TO ASSESS THE QUALITY OF THERAPY AND REHABILITATION IN PATIENTS WITH LOW BACK PAIN

Published:2023-07-19 Issue:29 Volume: Page:322-331
ISSN:2710-3056
Container-title:Grail of Science
language:
Short-container-title:GoS

Author:

Zhemchuzhkina Tatyana^ORCID,Kurochkin Ivan^ORCID

Abstract

Disorders and diseases of the musculoskeletal system are the most important factor in the global need for rehabilitation services. Low back pain is the leading cause of the global burden of musculoskeletal disease. Objectification of the assessment of the state of the musculoskeletal system can help in diagnosing and differentiating the patient's conditions, assessing the quality of therapy and rehabilitation. This work is devoted to the analysis of quantitative criteria for assessing the state of the musculoskeletal system according to objective data of electromyographic research.

Publisher

European Scientific Platform (Publications)

Subject

General Agricultural and Biological Sciences

Reference12 articles.

1. Cieza, A., Causey, K., Kamenov, K., Hanson, S. W., Chatterji, S., & Vos, T. (2021). Global estimates of the need for rehabilitation based on the Global Burden of Disease study 2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet (London, England), 396(10267), 2006–2017. https://doi.org/10.1016/S0140-6736(20)32340-0.

2. Бых, А.И., Жемчужкина, Т.В., Носова, Т.В. (2007). Поиск информативных количественных показателей электромиографического сигнала. Сообщение 1. Бионика интеллекта, 1(66), 18–125.

3. Одинак, М.М., Живолупов, С.А. (2009). Заболевания и травмы периферической нервной системы (обобщение клинического и экспериментального опыта): руководство для врачей. СПб: СпецЛит, 384 с.

4. Zhemchuzhkina, T.V., Nosova, T.V., Kostin, D.O., Prisych, O.Yu., Palii, I.K., Kovalskiy, V.P., Gromaszek, K., Amirgaliyeva, S. & Kozbakova, A. (2021). Electromyographic complex with goniometric tracking of the degree of muscle. Proc. SPIE 12040, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2021, 1204008; https://doi.org/10.1117/12.2603991.

5. Zhemchuzhkina, T.V., Nosova, T.V., Pinaieva, O.Y., Wójcik, W. & Tergeusizova, A. (2019). Designing a biomedical electromyographic complex with a pain level control. Information Technology in Medical Diagnostics II, 229 –235 CRC Press, London.

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1. Classification of Functional and Dysfunctional Low Back Pain by Spectral Indicators of Electromyogram;2023 IEEE 18th International Conference on Computer Science and Information Technologies (CSIT);2023-10-19