Stroke Rehabilitation Report using the Brain Rehabilitation Registration Online Database System in the Years 2006 to 2008

2010 ◽  
Vol 3 (1) ◽  
pp. 34 ◽  
Author(s):  
Han Young Jung ◽  
Il Soo Kim ◽  
Ueon Woo Rah ◽  
Yun-Hee Kim ◽  
Nam-Jong Paik ◽  
...  
Keyword(s):  
Stroke Rehabilitation ◽  
Database System ◽  
Online Database ◽  
The Brain

The Use of Structured Observation as a Stroke Rehabilitation Aid: An Opinion from Neuroscience

2007 ◽  
Vol 70 (10) ◽  
pp. 454-456 ◽  
Author(s):  
Paul Holmes ◽  
Louise Ewan
Keyword(s):  
Motor Function ◽  
Stroke Rehabilitation ◽  
Occupational Therapist ◽  
Novel Therapy ◽  
Opinion Piece ◽  
Physically Based ◽  
The Individual ◽  
The Brain ◽  
Motor Areas ◽  
Structured Observation

This opinion piece proposes that individuals who have experienced stroke may benefit from observing meaningful movements. Structured observation interventions, through video, activate the brain in functional motor areas that are similar to those seen for the physical execution of the observed skills. Furthermore, the occupational therapist may be ideally placed to deliver this novel therapy. The simulation of self-movements and others' movements that are meaningful for the individual may provide a valid approach for therapists to retain central motor function, promote motor plasticity and benefit more physically-based interventions.

scholarly journals Rethinking Stimulation of the Brain in Stroke Rehabilitation

2014 ◽  
Vol 21 (3) ◽  
pp. 225-240 ◽  
Author(s):  
Ela B. Plow ◽  
David A. Cunningham ◽  
Nicole Varnerin ◽  
Andre Machado
Keyword(s):  
Stroke Rehabilitation ◽  
The Brain ◽  
Stimulation Of

scholarly journals Reducing False Triggering Caused by Irrelevant Mental Activities in Brain-Computer Interface Based on Motor Imagery

2020 ◽  
Author(s):  
Lujia Zhou ◽  
Xuewen Tao ◽  
Feng He ◽  
Peng Zhou ◽  
Hongzhi Qi
Keyword(s):  
Steady State ◽  
Motor Imagery ◽  
Stroke Rehabilitation ◽  
Evoked Potential ◽  
Brain Computer Interface ◽  
Recognition Rate ◽  
Computer Interface ◽  
Task Specificity ◽  
Rehabilitation Technology ◽  
The Brain

Abstract Background: In recent years, the brain-computer interface (BCI) based on motor imagery (MI) has been considered as a potential post-stroke rehabilitation technology. However, the recognition of MI relies on the event-related desynchronization (ERD) feature, which has poor task specificity. Further, there is the problem of false triggering (irrelevant mental activities recognized as the MI of the target limb). Methods: In this paper, we discuss the feasibility of reducing the false triggering rate using a novel paradigm, in which the steady-state somatosensory evoked potential (SSSEP) is combined with the MI (MI-SSSEP). Data from the target (right hand MI) and nontarget task (rest) were used to establish the recognition model, and three kinds of interference tasks were used to test the false triggering performance. In the MI-SSSEP paradigm, ERD and SSSEP features modulated by MI could be used for recognition, while in the MI paradigm, only ERD features could be used. Results: The results showed that the false triggering rate of interference tasks with SSSEP features was reduced to 29.3%, which was far lower than the 55.5% seen under the MI paradigm with ERD features. Moreover, in the MI-SSSEP paradigm, the recognition rate of the target and nontarget task was also significantly improved. Further analysis showed that the specificity of SSSEP was significantly higher than that of ERD (p<0.05), but the sensitivity was not significantly different. Conclusions: These results indicated that SSSEP modulated by MI could more specifically decode the target task MI, and thereby may have potential in achieving more accurate rehabilitation training.

scholarly journals Library Online Database System for Undergraduate Students

2016 ◽  
Vol 9 (34) ◽  
Author(s):  
Nor Athira Azlan ◽  
NurHidayah Mohammad Daud ◽  
Zahidah Zulkifli ◽  
Suhaila Samsuri ◽  
Asma Ali ◽  
...  
Keyword(s):  
Undergraduate Students ◽  
Database System ◽  
Online Database
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