Effect of EEG-EMG based hybrid brain-computer interface operated hand exoskeleton for poststroke hand functional recovery

2018 ◽  
Author(s):  
Girijesh Prasad
2014 ◽  
Vol 15 (1) ◽  
Author(s):  
Yasunari Hashimoto ◽  
Tetsuo Ota ◽  
Masahiko Mukaino ◽  
Meigen Liu ◽  
Junichi Ushiba

2016 ◽  
Vol 42 (1) ◽  
pp. 13-23 ◽  
Author(s):  
E. V. Biryukova ◽  
O. G. Pavlova ◽  
M. E. Kurganskaya ◽  
P. D. Bobrov ◽  
L. G. Turbina ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Qiong Wu ◽  
Yunxiang Ge ◽  
Di Ma ◽  
Xue Pang ◽  
Yingyu Cao ◽  
...  

Objective: Upper limb (UL) motor function recovery, especially distal function, is one of the main goals of stroke rehabilitation as this function is important to perform activities of daily living (ADL). The efficacy of the motor-imagery brain-computer interface (MI-BCI) has been demonstrated in patients with stroke. Most patients with stroke receive comprehensive rehabilitation, including MI-BCI and routine training. However, most aspects of MI-BCI training for patients with subacute stroke are based on routine training. Risk factors for inadequate distal UL functional recovery in these patients remain unclear; therefore, it is more realistic to explore the prognostic factors of this comprehensive treatment based on clinical practice. The present study aims to investigate the independent risk factors that might lead to inadequate distal UL functional recovery in patients with stroke after comprehensive rehabilitation including MI-BCI (CRIMI-BCI).Methods: This prospective study recruited 82 patients with stroke who underwent CRIMI-BCI. Motor-imagery brain-computer interface training was performed for 60 min per day, 5 days per week for 4 weeks. The primary outcome was improvement of the wrist and hand dimensionality of Fugl-Meyer Assessment (δFMA-WH). According to the improvement score, the patients were classified into the efficient group (EG, δFMA-WH > 2) and the inefficient group (IG, δFMA-WH ≤ 2). Binary logistic regression was used to analyze clinical and demographic data, including aphasia, spasticity of the affected hand [assessed by Modified Ashworth Scale (MAS-H)], initial UL function, age, gender, time since stroke (TSS), lesion hemisphere, and lesion location.Results: Seventy-three patients completed the study. After training, all patients showed significant improvement in FMA-UL (Z = 7.381, p = 0.000**), FMA-SE (Z = 7.336, p = 0.000**), and FMA-WH (Z = 6.568, p = 0.000**). There were 35 patients (47.9%) in the IG group and 38 patients (52.1%) in the EG group. Multivariate analysis revealed that presence of aphasia [odds ratio (OR) 4.617, 95% confidence interval (CI) 1.435–14.860; p < 0.05], initial FMA-UL score ≤ 30 (OR 5.158, 95% CI 1.150–23.132; p < 0.05), and MAS-H ≥ level I+ (OR 3.810, 95% CI 1.231–11.790; p < 0.05) were the risk factors for inadequate distal UL functional recovery in patients with stroke after CRIMI-BCI.Conclusion: We concluded that CRIMI-BCI improved UL function in stroke patients with varying effectiveness. Inferior initial UL function, significant hand spasticity, and presence of aphasia were identified as independent risk factors for inadequate distal UL functional recovery in stroke patients after CRIMI-BCI.


2017 ◽  
Vol 27 (1) ◽  
pp. 107-137 ◽  
Author(s):  
A. A. Frolov ◽  
Dušan Húsek ◽  
E. V. Biryukova ◽  
P. D. Bobrov ◽  
O. A. Mokienko ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Chao Li ◽  
Jinyu Wei ◽  
Xiaoqun Huang ◽  
Qiang Duan ◽  
Tingting Zhang

Purpose. To observe the effect of a brain-computer interface-operated lower limb rehabilitation robot (BCI-LLRR) on functional recovery from stroke and to explore mechanisms. Methods. Subacute-phase stroke patients were randomly divided into two groups. In addition to the routine intervention, patients in the treatment group trained on the BCI-LLRR and underwent the lower limb pedal training in the control group, both for the same time (30 min/day). All patients underwent assessment by instruments such as the National Institutes of Health Stroke Scale (NIHSS) and the Fugl–Meyer upper and lower limb motor function and balance tests, at 2 and 4 weeks of treatment and at 3 months after the end of treatment. Patients were also tested before treatment and after 4 weeks by leg motor evoked potential (MEP) and diffusion tensor imaging/tractography (DTI/DTT) of the head. Results. After 4 weeks, the Fugl–Meyer leg function and NIHSS scores were significantly improved in the treatment group vs. controls ( P < 0.01 ). At 3 months, further significant improvement was observed. The MEP amplitude and latency of the treatment group were significantly improved vs. controls. The effect of treatment on fractional anisotropy values was not significant. Conclusions. The BCI-LLRR promoted leg functional recovery after stroke and improved activities of daily living, possibly by improving cerebral-cortex excitability and white matter connectivity.


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