@inproceedings{afdb19c0e17441b9b78520d871d69331,
title = "A whole integrated system for detection of neural signal and wireless transmission",
abstract = "A whole integrated system for detection of Neural Signal and wireless transmission at 2.4G-2.5GHz is presented in this paper. The system is consisted of low noise OPA, high precision analog to digital convertor (ADC), radio-frequency (RF) transmitter and RF receiver. Analog processing module are specially designed based on high input impedance and low noise requirements for neural signal detection, and RF circuits are based on IEEE STD802.15 transmitter characteristics. Fabricated in a 0.18 μm CMOS process and tested in a neural acquisition system, the IC prototype occupies 2.88 mm2 and works functionally, which can be a wide solution for wireless neural signal processor.",
keywords = "ADC, LNopa, Neural signal, Wireless technique",
author = "Dang Hua and Qu Ruoyuan and Chen Zhiming and Gui Xiaoyan and Wang Xinghua",
year = "2013",
doi = "10.1109/GreenCom-iThings-CPSCom.2013.327",
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 = "1779--1783",
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",
}