DocumentCode :
695290
Title :
A real-time permutation entropy computation for EEG signals
Author :
Xiaowei Ren ; Qihang Yu ; Badong Chen ; Nanning Zheng ; Pengju Ren
Author_Institution :
Inst. of Artificial Intell. & Robot., Xi´an Jiaotong Univ., Xian, China
fYear :
2015
fDate :
19-22 Jan. 2015
Firstpage :
20
Lastpage :
21
Abstract :
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.
Keywords :
electroencephalography; entropy; field programmable gate arrays; medical signal processing; EEG signals; frequency 150 MHz; multiscale permutation entropy; real-time permutation entropy computation; reconfigurable FPGA accelerator; Clocks; Electroencephalography; Entropy; Field programmable gate arrays; Hardware; Table lookup; Time series analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference (ASP-DAC), 2015 20th Asia and South Pacific
Conference_Location :
Chiba
Print_ISBN :
978-1-4799-7790-1
Type :
conf
DOI :
10.1109/ASPDAC.2015.7058926
Filename :
7058926
Link To Document :
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