Name
Title | ||
|---|---|---|
Assessment of the Efficacy of EEG-based MI-BCI with Visual Feedback and EEG Correlates of Mental Fatigue for Upper-Limb Stroke Rehabilitation. |
Abstract | ||
|---|---|---|
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Objective:</italic>
This single-arm multisite trial investigates the efficacy of the neurostyle brain exercise therapy towards enhanced recovery (nBETTER) system, an electroencephalogram (EEG)-based motor imagery brain-computer interface (MI-BCI) employing visual feedback for upper-limb stroke rehabilitation, and the presence of EEG correlates of mental fatigue during BCI usage.
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Methods:</italic>
A total of 13 recruited stroke patients underwent thrice-weekly nBETTER therapy coupled with standard arm therapy over six weeks. Upper-extremity Fugl–Meyer motor assessment (FMA) scores were measured at baseline (week 0), post-intervention (week 6), and follow-ups (weeks 12 and 24). In total, 11/13 patients (mean age 55.2 years old, mean post-stroke duration 333.7 days, mean baseline FMA 35.5) completed the study.
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Results:</italic>
Significant FMA gains relative to baseline were observed at weeks 6 and 24. Retrospectively comparing to the standard arm therapy (SAT) control group and BCI with haptic knob (BCI-HK) intervention group from a previous similar study, the SAT group had no significant gains, whereas the BCI-HK group had significant gains at weeks 6, 12, and 24. EEG analysis revealed significant positive correlations between relative beta power and BCI performance in the frontal and central brain regions, suggesting that mental fatigue may contribute to poorer BCI performance.
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Conclusion:</italic>
nBETTER, an EEG-based MI-BCI employing only visual feedback, helps stroke survivors sustain short-term FMA improvement. Analysis of EEG relative beta power indicates that mental fatigue may be present.
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Significance:</italic>
This study adds nBETTER to the growing literature of safe and effective stroke rehabilitation MI-BCI, and suggests an additional fatigue-monitoring role in future such BCI. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TBME.2019.2921198 | IEEE transactions on bio-medical engineering |
Keywords | Field | DocType |
Fatigue,Stroke (medical condition),Electroencephalography,Visualization,Standards,Hospitals | Rehabilitation,Computer vision,Upper limb,Mental fatigue,Computer science,Brain–computer interface,Stroke,Artificial intelligence,Physical medicine and rehabilitation,Eeg analysis,Electroencephalography,Motor imagery | Journal |
Volume | Issue | ISSN |
67 | 3 | 0018-9294 |
Citations | PageRank | References |
3 | 0.41 | 0 |
Authors | ||
12 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ruyi Foong | 1 | 3 | 0.41 |
| Kai Keng Ang | 2 | 804 | 64.19 |
| Chai Quek | 3 | 1431 | 95.84 |
| Cuntai Guan | 4 | 1298 | 124.69 |
| Kok Soon Phua | 5 | 14 | 4.94 |
| Christopher Kuah | 6 | 5 | 2.15 |
| Vishwanath Arun Deshmukh | 7 | 3 | 0.41 |
| Lester Hon Lum Yam | 8 | 3 | 0.41 |
| Deshan Kumar Rajeswaran | 9 | 3 | 0.41 |
| Ning Tang | 10 | 3 | 0.41 |
| Effie Chew | 11 | 67 | 4.44 |
| Karen Sui Geok Chua | 12 | 3 | 1.76 |