The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Hybrid EEG-fNIRS Asynchronous Brain-Computer Interface for Multiple Motor Tasks
Open accessAbstract
Non-invasive Brain-Computer Interfaces (BCI) have demonstrated great promise for neuroprosthetics and assistive devices. Here we aim to investigate methods to combine Electroencephalography (EEG) and functional Near-Infrared Spectroscopy (fNIRS) in an asynchronous Sensory Motor rhythm (SMR)-based BCI. We attempted to classify 4 different executed movements, namely, Right-Arm-Left-Arm-Right-Hand-Left-Hand tasks. Previous studies demonstrated the benefit of EEG-fNIRS combination. However, since normally fNIRS hemodynamic response shows a long delay, we investigated new features, involving slope indicators, in order to immediately detect changes in the signals. Moreover, Common Spatial Patterns (CSPs) have been applied to both EEG and fNIRS signals. 15 healthy subjects took part in the experiments and since 25 trials per class were available, CSPs have been regularized with information from the entire population of participants and optimized using genetic algorithms. The different features have been compared in terms of performance and the dynamic accuracy over trials shows that the introduced methods diminish the fNIRS delay in the detection of changes.
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Cites
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Cited by
Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review
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Progress in Brain Computer Interface: Challenges and Opportunities
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Open Access Dataset for EEG+NIRS Single-Trial Classification
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Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
Hong, K.-S., Khan, M. J., & Hong, M. J. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00246 · Cited by 283
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Metadata
- Authors
- Buccino, A. P., Keles, H. O., & Omurtag, A.
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2016-01-05
- Volume
- 11
- Issue
- 1
- Pages
- e0146610
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2231596722
- Cited by
- 183
- References
- 12
- FWCI
- 12.54
- Type
- journal article
- Language
- en
- Open access
- gold
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