Assessment of the Efficacy of EEG-Based MI-BCI With Visual Feedback and EEG Correlates of Mental Fatigue for Upper-Limb Stroke Rehabilitation

Assessment of the Efficacy of EEG-Based MI-BCI With Visual Feedback and EEG Correlates of Mental Fatigue for Upper-Limb Stroke Rehabilitation

Objective: 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...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on biomedical engineering Vol. 67; no. 3; pp. 786 - 795
Main Authors: Foong, Ruyi, Tang, Ning, Chew, Effie, Chua, Karen Sui Geok, Ang, Kai Keng, Quek, Chai, Guan, Cuntai, Phua, Kok Soon, Kuah, Christopher Wee Keong, Deshmukh, Vishwanath Arun, Yam, Lester Hon Lum, Rajeswaran, Deshan Kumar
Format: Journal Article
Language:English
Published: United States IEEE 01-03-2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Adult
Aged
Aged, 80 and over
Arm
Brain
Brain computer interface
Brain-Computer Interfaces
Computer applications
Correlation analysis
EEG
Electroencephalography
Electroencephalography - methods
Fatigue
Feedback
Feedback, Sensory - physiology
FMA
Hospitals
Human-computer interface
Humans
Image enhancement
Imagination - physiology
Implants
Mental Fatigue - physiopathology
Mental task performance
Middle Aged
motor imagery
Motor Skills - physiology
Rehabilitation
Stroke
Stroke (medical condition)
stroke rehabilitation
Stroke Rehabilitation - methods
Therapy
Upper Extremity - physiology
Visual perception
Visual system
Visualization
Young Adult
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Objective: 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. Methods: 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. Results: 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. Conclusion: 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. Significance: 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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2019.2921198