A real-time permutation entropy computation for EEG signals
ASP-DAC(2015)
摘要
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.
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关键词
frequency 150 mhz,eeg signals,multiscale permutation entropy,electroencephalography,medical signal processing,real-time permutation entropy computation,reconfigurable fpga accelerator,entropy,field programmable gate arrays
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