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Enhanced performance by a hybrid NIRS–EEG brain computer interface
Open accessAbstract
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 classification of NIRS data can complement ongoing real-time EEG classification. Our results show that simultaneous measurements of NIRS and EEG can significantly improve the classification accuracy of motor imagery in over 90% of considered subjects and increases performance by 5% on average (p<0:01). However, the long time delay of the hemodynamic response may hinder an overall increase of bit-rates. Furthermore we find that EEG and NIRS complement each other in terms of information content and are thus a viable multimodal imaging technique, suitable for BCI.
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Cites
Brain–computer interfaces for communication and control
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Self-citationA spelling device for the paralysed
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Self-citationfNIRS-based brain-computer interfaces: a review
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Progress in Brain Computer Interface: Challenges and Opportunities
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Mental stress assessment using simultaneous measurement of EEG and fNIRS
Al-Shargie, F., Kiguchi, M., Badruddin, N., Dass, S. C., Hani, A. F. M., & Tang, T. B. (2016) · Biomedical Optics Express · doi:10.1364/boe.7.003882 · Cited by 284
Metadata
- Authors
- Fazli, S., Mehnert, J., Steinbrink, J., Curio, G., Villringer, A., Müller, K.-R., & Blankertz, B.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 59
- Issue
- 1
- Pages
- 519-529
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2047401359
- Cited by
- 599
- References
- 9
- FWCI
- 15.68
- Type
- journal article
- Language
- en
- Open access
- hybrid
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