Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2018.2841847
Abstract: Common spatial pattern (CSP)-based spatial filtering has been most popularly applied to electroencephalogram (EEG) feature extraction for motor imagery (MI) classification in brain–computer interface (BCI) application. The effectiveness of CSP is highly affected by the… read more here.
Keywords: motor imagery; time; constrained sparse; group spatial ... See more keywords
SciSpot: Scientific Computing On Temporally Constrained Cloud Preemptible VMs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3157272
Abstract: Scientific computing applications are being increasingly deployed on cloud computing platforms. Transient servers such as EC2 spot instances and Google Preemptible VMs, can be used to lower the costs of running applications on the cloud… read more here.
Keywords: scientific computing; temporally constrained; cloud preemptible; scispot ... See more keywords
Temporally constrained ICA with threshold and its application to fMRI data
Sign Up to like & getrecommendations! Published in 2019 at "BMC Medical Imaging"
DOI: 10.1186/s12880-018-0300-6
Abstract: BackgroundAlthough independent component analysis (ICA) has been widely applied to functional magnetic resonance imaging (fMRI) data to reveal spatially independent brain networks, the order indetermination of ICA leads to the problem of target component selection.… read more here.
Keywords: temporally constrained; task; fmri data; tcica thres ... See more keywords