Accelerometer in stroke rehabilitation: A modern look at the assessment of physical activity

 

'Assessments' are useless unless they are used to point to EXACT 100% RECOVERY PROTOCOLS! Since this didn't do that, I'd have EVERYONE FIRED!

Accelerometer in stroke rehabilitation: A modern look at the assessment of physical activity

• Authors: Kozlyakova M.A.¹, Sirotenko A.V.², Chepnyan A.R.³, Ekizova A.N.³, Mefaev R.E.², Zhachemukov A.M.³, Gorlina P.V.⁴, Vakhtinskaya M.V.⁴, Khakova E.A.⁴, Galimov A.R.⁵, Kholiqov J.M.⁵, Goncharov D.I.³, Yusubova S.T.³, Khasanov R.G.⁵
• Affiliations:
  1. Pirogov Russian National Research Medical University, Moscow, Russia
  2. Vernadsky Crimean Federal University, Simferopol, Russia
  3. Kuban State Medical University, Krasnodar, Russia
  4. Mechnikov Northwestern State Medical University, St. Petersburg, Russia
  5. Bashkir State Medical University, Ufa, Russia
• Section: Reviews
• URL: https://rjmseer.com/1560-9537/article/view/642799
• DOI: https://doi.org/10.17816/MSER642799
• ID: 642799

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Abstract

The importance of improving the quality of rehabilitation approaches is becoming particularly relevant, as the number of people with stroke-related disabilities is expected to grow due to advances in treatment that contribute to an increase in overall patient survival. Improving the understanding of physical activity during stroke rehabilitation is important, as physical activity is directly related to the recovery process of patients. It not only promotes recovery after a stroke, but also improves the state of the cardiovascular system, cognitive and motor functions, improves mood and increases survival. In this review, the authors analyzed the literature data on the use of accelerometry in the first stage of rehabilitation after stroke. Accelerometry quantifies physical activity by recording movements using accelerometers that measure acceleration along one or more axes. Accelerometry is a promising tool for improving the measurement of physical activity intensity during rehabilitation, although in practice its use remains limited. The use of the V3 and V3+ frameworks, which cover aspects of ergonomics testing, analytical and clinical validation, highlights the importance of a comprehensive assessment of accelerometry-based tools. The available data confirm the effectiveness of accelerometry in determining the intensity of physical activity, but also indicate an existing gap in the data of analytical and clinical studies.

Intensity of physical activity; rehabilitation after stroke; accelerometry; stroke; monitoring; clinical validation; physical activity; inpatient treatment; digital medicine; standardization of data.

Keywords

intensity of physical activity, rehabilitation after stroke, accelerometry, stroke, monitoring, clinical validation, physical activity, inpatient treatment, digital medicine, standardization of data.

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About the authors

Marina A. Kozlyakova

Pirogov Russian National Research Medical University, Moscow, Russia

Email: forib@inbox.ru
ORCID iD: 0009-0008-4141-4142

student

Russian Federation, Moscow, Russia

Anna V. Sirotenko

Vernadsky Crimean Federal University, Simferopol, Russia

Email: sirotenkoan19@yandex.ru
ORCID iD: 0009-0004-7861-0949
SPIN-code: 1230-8576

student

Russian Federation, Simferopol, Russia

Arnella R. Chepnyan

Kuban State Medical University, Krasnodar, Russia

Email: arnella.chepnyan01@mail.ru
ORCID iD: 0009-0008-5049-202X

student

Russian Federation, Krasnodar, Russia

Angelina N. Ekizova

Kuban State Medical University, Krasnodar, Russia

Email: gelya438@gmail.com
ORCID iD: 0009-0009-2206-0040

student

Russian Federation, Krasnodar, Russia

Rolan E. Mefaev

Vernadsky Crimean Federal University, Simferopol, Russia

Email: mefaev97@mail.ru
ORCID iD: 0000-0001-6480-3011
SPIN-code: 1909-1887

student

Russian Federation, Simferopol, Russia

Amir M. Zhachemukov

Kuban State Medical University, Krasnodar, Russia

Email: amirzhachemukov@gmail.com
ORCID iD: 0009-0002-9729-5345

student

Russian Federation, Krasnodar, Russia

Polina V. Gorlina

Mechnikov Northwestern State Medical University, St. Petersburg, Russia

Email: korraletolv@gmail.com
ORCID iD: 0009-0001-1174-4529

student

Russian Federation, St. Petersburg, Russia

Milena V. Vakhtinskaya

Mechnikov Northwestern State Medical University, St. Petersburg, Russia

Email: milena.vah@icloud.com
ORCID iD: 0009-0001-6044-4485

student

Russian Federation, St. Petersburg, Russia

Elina A. Khakova

Mechnikov Northwestern State Medical University, St. Petersburg, Russia

Email: elinahackova@yandex.ru
ORCID iD: 0009-0003-4719-1019

student

Russian Federation, St. Petersburg, Russia

Airat R. Galimov

Bashkir State Medical University, Ufa, Russia

Email: galimov-1940@mail.ru
ORCID iD: 0000-0003-4403-0204
SPIN-code: 8742-4109

MD, Cand. Sci. (Medicine), Associate Professor

Russian Federation, Ufa, Russia

Jasur M. Kholiqov

Bashkir State Medical University, Ufa, Russia

Email: holikovzasur11@gmail.com
ORCID iD: 0009-0006-5224-8253

student

Russian Federation, Ufa, Russia

Dmitriy I. Goncharov

Kuban State Medical University, Krasnodar, Russia

Email: boss.dm00@mail.ru
ORCID iD: 0009-0000-5908-2934

student

Russian Federation, Krasnodar, Russia

Sofia T. Yusubova

Kuban State Medical University, Krasnodar, Russia

Email: yusubova_so@mail.ru
ORCID iD: 0009-0006-0172-9583

student

Russian Federation, Krasnodar, Russia

Ruslan G. Khasanov

Bashkir State Medical University, Ufa, Russia

Author for correspondence.
Email: Rus.khasanov.1@mail.ru
ORCID iD: 0009-0000-2635-1616

student

Russian Federation, Ufa, Russia

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