scholarly journals Improving of the Effectiveness of Motor-Imagery Training With BCI Technology in Hand Exoskeleton in Post-Stroke Rehabilitation

2021 ◽  
Vol 168 ◽  
pp. S124
Author(s):  
Alexandra Rubakova ◽  
Galina Ivanova ◽  
Boris Polyaev ◽  
Maria Bulatova
2018 ◽  
Vol 10 (11) ◽  
pp. 66 ◽  
Author(s):  
Ayelet Dunsky ◽  
Ruth Dickstein

Over the last two decades, the use of motor imagery (MI) for post-stroke rehabilitation has significantly increased. Previous findings support the feasibility of the incorporation of specific MI exercises to improve walking skills in individuals with post-stroke hemiparesis. However, detailed practical applications and specific protocols for the implementation of MI are scarce. The objective of this manuscript is to propose practical applications for a structured MI regimen, including detailed protocols of a six-week intervention targeting gait improvement following stroke. The proposed regimen is based on previous experience with MI rehabilitation programs for gait improvement following stroke, motor learning principles with applications for stroke rehabilitation, and the PETTLEP model. The proposed detailed protocols were found to be adjusted for gait improvement of post-stroke survivors as described in several studies, and may address the targets of different rehabilitation programs. Based on motor learning principles and guidelines, an example of verbal instructions for each treatment session during six weeks of intervention is proposed. The potential of this training program to augment and extend the rehabilitation process was proven in several studies. The variety of possibilities of scenes to image allows the clinician to target specific impaired performance and disabilities. By using the proposed structure and protocols, a large number of therapists may be able to address these targets.


2021 ◽  
Vol 18 (5) ◽  
pp. 37-54
Author(s):  
Márk Ottó Bauer ◽  
Máté Benjámin Vizi ◽  
Péter Galambos ◽  
Tibor Szalay

2012 ◽  
Vol 17 (5) ◽  
pp. 884-894 ◽  
Author(s):  
Azzurra Chiri ◽  
Nicola Vitiello ◽  
Francesco Giovacchini ◽  
Stefano Roccella ◽  
Fabrizio Vecchi ◽  
...  

Author(s):  
R Kh Lyukmanov ◽  
O A Mokienko ◽  
G A Aziatskaya ◽  
N A Suponeva ◽  
M A Piradov

Motor function deficit due to stroke is one of the leading causes for disability among working-age population. The most effective evidence-based treatment strategies are task oriented exercise approaches including constrained-induced movement therapy. Robot-assisted training provides high amount of repetitions and feedback to patient. Adjuvant therapies such as mirror therapy and motor imagery show their effectiveness if used in combination with basic neurorehabilitation methods and are treatment of choice for patients with severe motor impairment. Brain-computer interfaces allow to control motor imagery as a process by giving different type of feedback (e.g. kinesthetic via exoskeleton) during training sessions. It is poorly known if kinesthetic motor imagery is more effective comparing to robot-assisted training as a part of post-stroke rehabilitation. Materials and methods: 55 patients with arm paresis >1 month after stroke were enrolled in the current study. Screening and randomization were performed. Participants underwent rehabilitation treatment where BCI controlled motor imagery training in main group and robot-assisted training in control group were included. Motor function of the paretic arm was assessed using Action Research Arm Test (ARAT) and Fugl-Meyer Assessment (FMA) before and after intervention. Results: Recovery of upper extremity motor function did not correlate with time since stroke and age of participants neither in main group, nor in control group. Correlations between change in motor scales scores and initial severity of motor deficit was shown in both groups (p


2004 ◽  
Vol 7 (3) ◽  
pp. 327-332 ◽  
Author(s):  
A. Gaggioli ◽  
F. Morganti ◽  
R. Walker ◽  
A. Meneghini ◽  
M. Alcaniz ◽  
...  

2010 ◽  
Vol 26 (4) ◽  
pp. 307-315 ◽  
Author(s):  
Duck-Won Oh ◽  
Jin-Seop Kim ◽  
Suhn-Yeop Kim ◽  
Eun-Young Yoo ◽  
Hye-Seon Jeon

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