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A real-time permutation entropy computation for EEG signals

In this paper, we implement a reconfigurable FPGA accelerator which could compute multiscale permutation entropy for 128 EEG signals simultaneously in real time. When it works at 150MHz and the window size is 256, compared with C code running on a 3GHz Intel(R) Core(TM) i5-2320 CPU, the average speedup is 3748.