Literature DB >> 22471649

Validation of bimanual-coordinated training supported by a new upper-limb rehabilitation robot: a near-infrared spectroscopy study.

Chunguang Li1, Yoshio Inoue, Tao Liu, Lining Sun.   

Abstract

PURPOSE: Our previous work proposed a rehabilitation robot to support bimanual-coordinated training not only in active-assisted and passive-driven modes but also in active-resisted mode. However, assessment of training effect was only focused on the improvements of subjects' motion-tracking precisions. This paper presents an evaluation strategy based on variations in both cerebral activation level (CAL) and motion-tracking precision.
METHOD: Fourteen healthy subjects participated in motion-tracking training in bimanual active-assisted and active-resisted modes, and in single right-limb and left-limb modes, with haemoglobin concentration and motion-tracking errors being measured simultaneously. Analyses of variance (ANOVA) of the CAL and motion-tracking errors were performed to investigate bimanual training effect and the difference between bimanual and single-limb trainings in activating the brain.
RESULTS: In the bimanual modes, both the CAL and motion-tracking precision significantly increased after training. And the CAL induced in the bimanual trainings were significantly greater than in the single-limb trainings.
CONCLUSIONS: Significant enhancement of the CAL and motion-tracking precision confirmed a positive training effect on enhancing the bimanual-coordination capability of healthy subjects. Compared to the single-limb modes, the higher CAL in the bimanual modes demonstrated the potential of the proposed bimanual training for improving the functional integrity of the two hemispheres.

Mesh:

Year:  2012        PMID: 22471649     DOI: 10.3109/17483107.2012.671439

Source DB:  PubMed          Journal:  Disabil Rehabil Assist Technol        ISSN: 1748-3107


  6 in total

1.  Bimanual elbow robotic orthoses: preliminary investigations on an impairment force-feedback rehabilitation method.

Authors:  Gil Herrnstadt; Nezam Alavi; Bubblepreet Kaur Randhawa; Lara A Boyd; Carlo Menon
Journal:  Front Hum Neurosci       Date:  2015-03-30       Impact factor: 3.169

2.  The Optimal Speed for Cortical Activation of Passive Wrist Movements Performed by a Rehabilitation Robot: A Functional NIRS Study.

Authors:  Sung Jin Bae; Sung Ho Jang; Jeong Pyo Seo; Pyung Hun Chang
Journal:  Front Hum Neurosci       Date:  2017-04-20       Impact factor: 3.169

3.  Bilateral Tactile Feedback-Enabled Training for Stroke Survivors Using Microsoft KinectTM.

Authors:  Abbas Orand; Eren Erdal Aksoy; Hiroyuki Miyasaka; Carolyn Weeks Levy; Xin Zhang; Carlo Menon
Journal:  Sensors (Basel)       Date:  2019-08-08       Impact factor: 3.576

4.  The correlations between kinematic profiles and cerebral hemodynamics suggest changes of motor coordination in single and bilateral finger movement.

Authors:  Guangquan Zhou; Yuzhao Chen; Xiaohan Wang; Hao Wei; Qinghua Huang; Le Li
Journal:  Front Hum Neurosci       Date:  2022-08-18       Impact factor: 3.473

5.  The cortical activation pattern by a rehabilitation robotic hand: a functional NIRS study.

Authors:  Pyung-Hun Chang; Seung-Hee Lee; Gwang Min Gu; Seung-Hyun Lee; Sang-Hyun Jin; Sang Seok Yeo; Jeong Pyo Seo; Sung Ho Jang
Journal:  Front Hum Neurosci       Date:  2014-02-06       Impact factor: 3.169

6.  There is No test-retest reliability of brain activation induced by robotic passive hand movement: A functional NIRS study.

Authors:  Sungjin Bae; Yonghee Lee; Pyung-Hun Chang
Journal:  Brain Behav       Date:  2020-08-13       Impact factor: 2.708

  6 in total

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