DocumentCode :
653441
Title :
Design and Implementation of a Circuit System for Neural Signal Detection
Author :
Dang Hua ; Li Xiao ; Chen Zhiming ; Gui Xiaoyan ; Wang Xinghua ; Zhong Shunan
Author_Institution :
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
fYear :
2013
fDate :
20-23 Aug. 2013
Firstpage :
1825
Lastpage :
1828
Abstract :
A circuit system of detecting neural signal is present in this paper, including a designed analog chip and digital signal process in FPGA. The analog chip contains weak-signal readout circuit and sigma delta modulator. It is implemented in SMIC 0.18μm 1P6M CMOS process. The digital output of the analog chip is sent to FPGA, where the digital signal process realized the split of neural signal. The measurement results show that this circuit system detects the Spike signal and LFP signal well.
Keywords :
CMOS integrated circuits; analogue integrated circuits; field programmable gate arrays; medical signal detection; sigma-delta modulation; CMOS process; FPGA; LFP signal; analog chip; digital signal process; neural signal detection; sigma delta modulator; size 0.18 mum; spike signal; Field programmable gate arrays; Finite impulse response filters; Modulation; Noise; Operational amplifiers; Sigma-delta modulation; LNopa; Neural signal; Sigma delta ADC; filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/GreenCom-iThings-CPSCom.2013.338
Filename :
6682349
Link To Document :
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