A4 Article in conference proceedings
Effectiveness of Robot-Assisted Lower Limb Rehabilitation on Balance in People with Stroke : A Systematic Review, Meta-analysis, and Meta-regression (2024)


Yli-Ikkelä, R., Rintala, A., Köyhäjoki, A., Hakonen, H., Korpi, H., Kantola, M., Honkanen, S., Ilves, O., Sjögren, T., Karvanen, J., & Aartolahti, E. (2024). Effectiveness of Robot-Assisted Lower Limb Rehabilitation on Balance in People with Stroke : A Systematic Review, Meta-analysis, and Meta-regression. In M. Särestöniemi, P. Keikhosrokiani, D. Singh, E. Harjula, A. Tiulpin, M. Jansson, M. Isomursu, M. van Gils, S. Saarakkala, & J. Reponen (Eds.), Digital Health and Wireless Solutions : First Nordic Conference​, NCDHWS 2024, Oulu, Finland, May 7-8, 2024, Proceedings, Part I (2083, pp. 101-116). Springer. Communications in Computer and Information Science. https://doi.org/10.1007/978-3-031-59091-7_7


JYU authors or editors


Publication details

All authors or editorsYli-Ikkelä, Riku; Rintala, Aki; Köyhäjoki, Anna; Hakonen, Harto; Korpi, Hilkka; Kantola, Mirjami; Honkanen, Sari; Ilves, Outi; Sjögren, Tuulikki; Karvanen, Juha; et al.

Parent publicationDigital Health and Wireless Solutions : First Nordic Conference​, NCDHWS 2024, Oulu, Finland, May 7-8, 2024, Proceedings, Part I

Parent publication editorsSärestöniemi, Mariella; Keikhosrokiani, Pantea; Singh, Daljeet; Harjula, Erkki; Tiulpin, Aleksei; Jansson, Miia; Isomursu, Minna; van Gils, Mark; Saarakkala, Simo; Reponen, Jarmo

Place and date of conferenceOulu, Finland7.-8.5.2024

ISBN978-3-031-59090-0

eISBN978-3-031-59091-7

Journal or seriesCommunications in Computer and Information Science

ISSN1865-0929

eISSN1865-0937

Publication year2024

Volume2083

Pages range101-116

Number of pages in the book433

PublisherSpringer

Place of PublicationCham

Publication countrySwitzerland

Publication languageEnglish

DOIhttps://doi.org/10.1007/978-3-031-59091-7_7

Publication open accessOpenly available

Publication channel open accessOpen Access channel

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/95105


Abstract

The objective of this study was to evaluate the effectiveness of robot-assisted lower-limb rehabilitation on balance in stroke patients and to explore the covariates associated with these effects.

A systematic literature search was carried out in four databases (MEDLINE (Ovid), CINAHL, PsycINFO, and ERIC) for studies published from inception to 25th of March 2022. Studies on robot-assisted lower-limb rehabilitation with a randomized controlled trial (RCT) design, participants with stroke, a comparison group with conventional training, and balance-related outcomes were included. Studies were assessed for Cochrane Risk of Bias 2 and quality of evidence. Meta-analysis and meta-regression were performed.

A total of 48 (RCT) with 1472 participants were included. The overall risk of bias in the included studies was unclear (n = 32), high (n = 15) or low (n = 1). Compared to conventional rehabilitation, robot-assisted lower-limb rehabilitation interventions were more effective for balance improvement (Hedges’ g = 0.25, 95% CI: 0.10 0.41). In meta-regression, a relationship between the training effect was observed with the time since stroke, explaining 56% of the variance (p = 0.001), and with the ankle robots, explaining 16% of the variance (p = 0.048). No serious adverse events related to robot-assisted training were reported.

Robot-assisted lower-limb rehabilitation may improve balance more than conventional training in people with stroke, especially in the acute stage. Robot-assisted lower-limb rehabilitation seems to be a safe rehabilitation method for patients with stroke. To strengthen the evidence, more high-quality RCTs with adequate sample sizes are needed.


Keywordsphysiotherapyrehabilitationmeta-analysisroboticsexercisesbalance

Free keywordsrobotics; lower extremity; exercise; stroke rehabilitation; postural balance; meta-analysis


Contributing organizations


Ministry reportingYes

VIRTA submission year2024

Preliminary JUFO rating1


Last updated on 2024-03-07 at 20:07