HiPerSAT Technical Report
نویسندگان
چکیده
HiPerSAT, a C++ library and associated tools, processes large EEG data sets with statistical data whitening and ICA (Independent Component Analysis) methods. The library uses BLAS, LAPACK, MPI and OpenMP to achieve a high performance solution that exploits available parallel hardware. ICA is a class of methods for analyzing a large set of data samples and deducing the independent components responsible for the observed data. ICA is used in EEG signal analysis to understand neurological components of dynamic brain activity. We present two ICA implementations (FastICA and Infomax) that exploit parallelism to provide an EEG component decomposition solution of higher performance and data capacity than current MATLAB-based implementations. Experimental results and the methodology used to obtain them are presented. In addition, the integration of this functionality into the MATLAB-based EEGLAB tools [6] is described, as well as future plans for this research.
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تاریخ انتشار 2006