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Parallel Processing of Massive EEG Data with MapReduce
2012
2012 IEEE 18th International Conference on Parallel and Distributed Systems
Analysis of neural signals like electroencephalogram (EEG) is one of the key technologies in detecting and diagnosing various brain disorders. As neural signals are non-stationary and non-linear in nature, it is almost impossible to understand their true physical dynamics until the recent advent of the Ensemble Empirical Mode Decomposition (EEMD) algorithm. The neural signal processing with EEMD is highly compute-intensive due to the high complexity of the EEMD algorithm. It is also
doi:10.1109/icpads.2012.32
dblp:conf/icpads/WangCRKKW12
fatcat:jqvsyobfl5hflovrajwq64maye