Common spatial pattern and wavelet decomposition for motor imagery EEG- fTCD brain-computer interface
Abstract
Recently, hybrid brain-computer interfaces (BCIs) combining more than one modality have been investigated with the aim of boosting the performance of the existing single-modal BCIs in terms of accuracy and information transfer rate (ITR). Previously, we introduced a novel hybrid BCI in which EEG and fTCD modalities are used simultaneously to measure electrical brain activity and cerebral blood velocity during motor imagery (MI) tasks.In this...
Paper Details
Title
Common spatial pattern and wavelet decomposition for motor imagery EEG- fTCD brain-computer interface
Published Date
May 1, 2019
Volume
320
Pages
98 - 106
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History