4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Leap Motion Controller Video Game-Based Therapy for Upper Extremity Motor Recovery in Patients with Central Nervous System Diseases. A Systematic Review with Meta-Analysis

      review-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Leap Motion Controller (LMC) is a virtual reality device that can be used in the rehabilitation of central nervous system disease (CNSD) motor impairments. This review aimed to evaluate the effect of video game-based therapy with LMC on the recovery of upper extremity (UE) motor function in patients with CNSD. A systematic review with meta-analysis was performed in PubMed Medline, Web of Science, Scopus, CINAHL, and PEDro. We included five randomized controlled trials (RCTs) of patients with CNSD in which LMC was used as experimental therapy compared to conventional therapy (CT) to restore UE motor function. Pooled effects were estimated with Cohen’s standardized mean difference (SMD) and its 95% confidence interval (95% CI). At first, in patients with stroke, LMC showed low-quality evidence of a large effect on UE mobility (SMD = 0.96; 95% CI = 0.47, 1.45). In combination with CT, LMC showed very low-quality evidence of a large effect on UE mobility (SMD = 1.34; 95% CI = 0.49, 2.19) and the UE mobility-oriented task (SMD = 1.26; 95% CI = 0.42, 2.10). Second, in patients with non-acute CNSD (cerebral palsy, multiple sclerosis, and Parkinson’s disease), LMC showed low-quality evidence of a medium effect on grip strength (GS) (SMD = 0.47; 95% CI = 0.03, 0.90) and on gross motor dexterity (GMD) (SMD = 0.73; 95% CI = 0.28, 1.17) in the most affected UE. In combination with CT, LMC showed very low-quality evidence of a high effect in the most affected UE on GMD (SMD = 0.80; 95% CI = 0.06, 1.15) and fine motor dexterity (FMD) (SMD = 0.82; 95% CI = 0.07, 1.57). In stroke, LMC improved UE mobility and UE mobility-oriented tasks, and in non-acute CNSD, LMC improved the GS and GMD of the most affected UE and FMD when it was used with CT.

          Related collections

          Most cited references109

          • Record: found
          • Abstract: not found
          • Article: not found

          Measuring inconsistency in meta-analyses.

            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials

            Flaws in the design, conduct, analysis, and reporting of randomised trials can cause the effect of an intervention to be underestimated or overestimated. The Cochrane Collaboration’s tool for assessing risk of bias aims to make the process clearer and more accurate
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Meta-analysis in clinical trials

                Bookmark

                Author and article information

                Contributors
                Role: Academic Editor
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                15 March 2021
                March 2021
                : 21
                : 6
                : 2065
                Affiliations
                [1 ]Centro Médico “Avenida II”, C/Julio Burell 18, 23700 Linares, Spain; icp00011@ 123456red.ujaen.es
                [2 ]Department of Health Sciences, University of Jaén, Paraje Las Lagunillas s/n, 23071 Jaén, Spain; nzagalaz@ 123456ujaen.es (N.Z.-A.); dmc00047@ 123456red.ujaen.es (D.M.-C.); rlomas@ 123456ujaen.es (R.L.-V.); mcosuna@ 123456ujaen.es (M.C.O.-P.)
                Author notes
                [* ]Correspondence: eobrero@ 123456ujaen.es ; Tel.: +34-953-21-23-81
                Author information
                https://orcid.org/0000-0002-7105-9865
                https://orcid.org/0000-0003-2546-6301
                https://orcid.org/0000-0002-8430-5500
                https://orcid.org/0000-0003-1293-2983
                Article
                sensors-21-02065
                10.3390/s21062065
                7999275
                33804247
                530ae9dc-77f4-4d80-9d6e-43d37c40c75c
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 17 February 2021
                : 12 March 2021
                Categories
                Review

                Biomedical engineering
                leap motion controller,virtual reality,central nervous system diseases,upper extremity,motor function,grip strength,gross motor dexterity,fine motor dexterity,meta-analysis

                Comments

                Comment on this article