@inproceedings{a55c2d6e045b445e80d9a3ecabecc3b7,
title = "Design and implementation of a circuit system for neural signal detection",
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 = "Filter, LNopa, Neural signal, Sigma delta ADC",
author = "Dang Hua and Li Xiao and Chen Zhiming and Gui Xiaoyan and Wang Xinghua and Zhong Shunan",
year = "2013",
doi = "10.1109/GreenCom-iThings-CPSCom.2013.338",
language = "English",
isbn = "9780769550466",
series = "Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013",
pages = "1825--1828",
booktitle = "Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013",
note = "2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013 ; Conference date: 20-08-2013 Through 23-08-2013",
}