Literature DB >> 27926617

Robotic approaches for the rehabilitation of upper limb recovery after stroke: a systematic review and meta-analysis.

Chao Zhang1, Cecilia W P Li-Tsang, Ricky K C Au.   

Abstract

This systematic review with a meta-analysis of studies was carried out to evaluate the effectiveness of robotic training (RT) and conventional training (CT) in improving the motor recovery of paretic upper limbs in stroke patients. Numerous electronic databases were searched from January 2000 to May 2016. Finally, 13 randomized-controlled trials fulfilled the inclusion criteria and were included in the three meta-analyses. The first meta-analysis carried out for those studies using RT for stroke patients indicated a significant improvement in the RT groups. The second meta-analysis suggested that the upper limb function (measured by Fugl-Meyer test) was significantly improved when RT was used with CT compared with CT alone. The third meta-analysis noted a significant difference in motor recovery between the CT-only and RT groups (RT only or RT combined with CT) in the chronic stages of stroke, but not in the acute or subacute stages. However, the RT group also showed a higher Fugl-Meyer score in patients at both the acute and the subacute stage. RT appeared to have positive outcomes to enhance motor recovery of the paralyzed upper limb. Robotic devices were believed to provide more assistance to patients to help support the weight of the upper limb; thus, active movement training can begin in the early rehabilitation stage. These novel devices may also help those chronic patients to achieve better rehabilitation goals. As a summary, RT could be used in addition to CT to help both therapists and patients in the management of the paralyzed upper limb.

Entities:  

Mesh:

Year:  2017        PMID: 27926617     DOI: 10.1097/MRR.0000000000000204

Source DB:  PubMed          Journal:  Int J Rehabil Res        ISSN: 0342-5282            Impact factor:   1.479


  8 in total

Review 1.  Robot-assisted distal training improves upper limb dexterity and function after stroke: a systematic review and meta-regression.

Authors:  Menglu Zhao; Guangning Wang; Aimin Wang; Ling Jie Cheng; Ying Lau
Journal:  Neurol Sci       Date:  2022-01-28       Impact factor: 3.307

Review 2.  Effect of Robot-Assisted Therapy on Participation of People with Limited Upper Limb Functioning: A Systematic Review with GRADE Recommendations.

Authors:  Fernanda M R M Ferreira; Maria Emília A Chaves; Vinícius C Oliveira; Jordana S R Martins; Claysson B S Vimieiro; Adriana M V N Van Petten
Journal:  Occup Ther Int       Date:  2021-07-31       Impact factor: 1.448

Review 3.  Robot-Assisted Therapy in Upper Extremity Hemiparesis: Overview of an Evidence-Based Approach.

Authors:  Christophe Duret; Anne-Gaëlle Grosmaire; Hermano Igo Krebs
Journal:  Front Neurol       Date:  2019-04-24       Impact factor: 4.003

4.  Effectiveness of interventions to improve hand motor function in individuals with moderate to severe stroke: a systematic review protocol.

Authors:  Hewei Wang; Ray Arceo; Shugeng Chen; Li Ding; Jie Jia; Jun Yao
Journal:  BMJ Open       Date:  2019-09-27       Impact factor: 2.692

Review 5.  Robot-assisted therapy for upper-limb rehabilitation in subacute stroke patients: A systematic review and meta-analysis.

Authors:  Wai-Tong Chien; Yuen-Yu Chong; Man-Kei Tse; Cheuk-Woon Chien; Ho-Yu Cheng
Journal:  Brain Behav       Date:  2020-06-26       Impact factor: 2.708

6.  A Case Study of Upper Limb Robotic-Assisted Therapy Using the Track-Hold Device.

Authors:  Marco Righi; Massimo Magrini; Cristina Dolciotti; Davide Moroni
Journal:  Sensors (Basel)       Date:  2022-01-28       Impact factor: 3.576

7.  Enhancing motion tracking accuracy of a low-cost 3D video sensor using a biomechanical model, sensor fusion, and deep learning.

Authors:  Shahar Agami; Raziel Riemer; Sigal Berman
Journal:  Front Rehabil Sci       Date:  2022-08-16

Review 8.  Combining Upper Limb Robotic Rehabilitation with Other Therapeutic Approaches after Stroke: Current Status, Rationale, and Challenges.

Authors:  Stefano Mazzoleni; Christophe Duret; Anne Gaëlle Grosmaire; Elena Battini
Journal:  Biomed Res Int       Date:  2017-09-13       Impact factor: 3.411

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.