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Issue No.06 - Nov.-Dec. (2011 vol.13)
pp: 42-51
Dan Chen , China University of Geosciences
Lizhe Wang , Indiana University
Gaoxiang Ouyang , Yanshan University, Qinhuangdao, China
Xiaoli Li , Yanshan University, Qinhuangdao, China
ABSTRACT
<p>Although the ensemble empirical mode decomposition (EEMD) method and Hilbert-Huang transform (HHT) offer an unrivaled opportunity to understand neural signals, the EEMD algorithm's complexity and neural signals' massive size have hampered EEMD application. However, a new approach using a many-core platform has proven both efficient and effective for massively parallel neural signal processing.</p>
INDEX TERMS
Parallel processing, GPGPU, CUDA, many-core platform, neural signal analysis, EEG, epilepsy
CITATION
Dan Chen, Lizhe Wang, Gaoxiang Ouyang, Xiaoli Li, "Massively Parallel Neural Signal Processing on a Many-Core Platform", Computing in Science & Engineering, vol.13, no. 6, pp. 42-51, Nov.-Dec. 2011, doi:10.1109/MCSE.2011.20
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