Reconfigurable Embedded System Architecture for Next-Generation Neural Signal Processing

被引:6
|
作者
Balasubramanian, Karthikeyan [1 ]
Obeid, Iyad [1 ]
机构
[1] Temple Univ, Neural Instrumentat Lab, Philadelphia, PA 19122 USA
关键词
ALGORITHMS;
D O I
10.1109/IEMBS.2010.5626833
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
This work presents a new architectural framework for next generation Neural Signal Processing (NSP). The essential features of the NSP hardware platform include scalability, reconfigurability, real-time processing ability and data storage. This proposed framework has been implemented in a proof-of-concept NSP prototype using an embedded system architecture synthesized in a Xilinx (R) Virtex (R) 5 development board. The prototype includes a threshold-based spike detector and a fuzzy logic-based spike sorter.
引用
收藏
页码:1691 / 1694
页数:4
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