A Real-time Permutation Entropy Computation for EEG Signals

被引:0
作者
Ren, Xiaowei [1 ]
Yu, Qihang [1 ]
Chen, Badong [1 ]
Zheng, Nanning [1 ]
Ren, Pengju [1 ]
机构
[1] Xi An Jiao Tong Univ, Inst Artificial Intelligence & Robot, 28 Xianning West Rd, Xian 710049, Shaanxi, Peoples R China
来源
2015 20TH ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE (ASP-DAC) | 2015年
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暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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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页码:20 / 21
页数:2
相关论文
共 3 条
  • [1] Permutation entropy: A natural complexity measure for time series
    Bandt, C
    Pompe, B
    [J]. PHYSICAL REVIEW LETTERS, 2002, 88 (17) : 4
  • [2] Predictability analysis of absence seizures with permutation entropy
    Li, Xiaoli
    Ouyang, Gaoxian
    Richards, Douglas A.
    [J]. EPILEPSY RESEARCH, 2007, 77 (01) : 70 - 74
  • [3] Ren X., 2014, 36 ANN INT C IEEE EN