2012
DOI: 10.1016/j.neuroimage.2011.07.084
|View full text |Cite
|
Sign up to set email alerts
|

Enhanced performance by a hybrid NIRS–EEG brain computer interface

Abstract: Noninvasive Brain Computer Interfaces (BCI) have been promoted to be used for neuroprosthetics. However, reports on applications with electroencephalography (EEG) show a demand for a better accuracy and stability. Here we investigate whether near-infrared spectroscopy (NIRS) can be used to enhance the EEG approach. In our study both methods were applied simultaneously in a real-time Sensory Motor Rhythm (SMR)-based BCI paradigm, involving executed movements as well as motor imagery. We tested how the classific… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

7
365
1
2

Year Published

2012
2012
2022
2022

Publication Types

Select...
4
3
1

Relationship

0
8

Authors

Journals

citations
Cited by 507 publications
(383 citation statements)
references
References 57 publications
7
365
1
2
Order By: Relevance
“…This is common practice in BCI research and provides some measure of both the best performance and the performance over time (Treder et al, 2011;Fazli et al, 2012;Allison et al, 2010a). However, it may be argued that peak accuracy alone does not provide a complete measure of statistically significant performance.…”
Section: Discussionmentioning
confidence: 99%
“…This is common practice in BCI research and provides some measure of both the best performance and the performance over time (Treder et al, 2011;Fazli et al, 2012;Allison et al, 2010a). However, it may be argued that peak accuracy alone does not provide a complete measure of statistically significant performance.…”
Section: Discussionmentioning
confidence: 99%
“…Indeed, the hybrid signal produced is a measure of neurovascular coupling and could have enhanced value when measured for subjects who have suffered stroke or similar cerebro-vascular damage. Fusion approaches such as the above are part of the next phase of BCI development [4,17,20] which will require enhanced, robust performance outside the laboratory setting.…”
Section: Resultsmentioning
confidence: 99%
“…In ERS/ERD analysis, a baseline "reference" period of EEG data is recorded before the event and then compared to an "activity" period of EEG data, recorded during or following the event. ERD is known to occur in the frequency range (8-12 Hz) on movement onset and ERS is known to occur in theˇfrequency range (12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) following movement offset.…”
Section: Combined Eeg-fnirs Measurements In Overt and Imagined Movemementioning
confidence: 99%
“…Brain computer interface (BCI) provides an alternative pattern for disabled persons to communicate with environment by measuring neural activities associated with brain processing [1][2][3][4]. Various modalities have been used to measure brain signals in BCI, including electroencephalography (EEG) [5,6], functional magnetic resonance imaging (fMRI) [7] and functional near infrared spectroscopy (fNIRS) [2,[8][9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%
“…Various modalities have been used to measure brain signals in BCI, including electroencephalography (EEG) [5,6], functional magnetic resonance imaging (fMRI) [7] and functional near infrared spectroscopy (fNIRS) [2,[8][9][10][11][12]. fNIRS is a novel non-invasive technique applied in BCI [13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%