Circuit design of analog front-end for neural signal detection

Dang Hua; Zhang Lei; Chen Zhiming; Gui Xiaoyan; Wang Xinghua

doi:10.1109/GreenCom-iThings-CPSCom.2013.336

Circuit design of analog front-end for neural signal detection

Dang Hua, Zhang Lei^*, Chen Zhiming, Gui Xiaoyan, Wang Xinghua

^*此作品的通讯作者

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

A novel design of analog front-end for detecting the neural signal is present in this paper. According to the traditional way with sigma delta ADC or pipelined ADC, this paper provides a new method to get better performance. The analog front-end contains low noise operational amplifier and SAR ADC which can be shared by multi channels. The design is verified in SMIC 0.18um CMOS process. The total current of 2 channels is only 2mA that is mainly cost by OPA. This circuit provides the new method to achieve ultra low power in Neural Signal Detection system.

源语言	英语
主期刊名	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
页	1817-1819
页数	3
DOI	https://doi.org/10.1109/GreenCom-iThings-CPSCom.2013.336
出版状态	已出版 - 2013
活动	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 - Beijing, 中国期限: 20 8月 2013 → 23 8月 2013

出版系列

姓名	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

会议

会议	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
国家/地区	中国
市	Beijing
时期	20/08/13 → 23/08/13

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10.1109/GreenCom-iThings-CPSCom.2013.336

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链接到 Scopus 的出版物

引用此

Hua, D., Lei, Z., Zhiming, C., Xiaoyan, G., & Xinghua, W. (2013). Circuit design of analog front-end for neural signal detection. 在 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 (页码 1817-1819). 文章 6682347 (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). https://doi.org/10.1109/GreenCom-iThings-CPSCom.2013.336

Hua, Dang ; Lei, Zhang ; Zhiming, Chen 等. / Circuit design of analog front-end for neural signal detection. 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. 2013. 页码 1817-1819 (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).

@inproceedings{12407c8e9d8147c9ae1338d4ab56e172,

title = "Circuit design of analog front-end for neural signal detection",

abstract = "A novel design of analog front-end for detecting the neural signal is present in this paper. According to the traditional way with sigma delta ADC or pipelined ADC, this paper provides a new method to get better performance. The analog front-end contains low noise operational amplifier and SAR ADC which can be shared by multi channels. The design is verified in SMIC 0.18um CMOS process. The total current of 2 channels is only 2mA that is mainly cost by OPA. This circuit provides the new method to achieve ultra low power in Neural Signal Detection system.",

keywords = "LNopa, Neural signal, SAR ADC, Shared ADC",

author = "Dang Hua and Zhang Lei and Chen Zhiming and Gui Xiaoyan and Wang Xinghua",

year = "2013",

doi = "10.1109/GreenCom-iThings-CPSCom.2013.336",

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 = "1817--1819",

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",

}

Hua, D, Lei, Z, Zhiming, C, Xiaoyan, G & Xinghua, W 2013, Circuit design of analog front-end for neural signal detection. 在 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., 6682347, 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, 页码 1817-1819, 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, Beijing, 中国, 20/08/13. https://doi.org/10.1109/GreenCom-iThings-CPSCom.2013.336

Circuit design of analog front-end for neural signal detection. / Hua, Dang; Lei, Zhang; Zhiming, Chen 等.
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. 2013. 页码 1817-1819 6682347 (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).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Circuit design of analog front-end for neural signal detection

AU - Hua, Dang

AU - Lei, Zhang

AU - Zhiming, Chen

AU - Xiaoyan, Gui

AU - Xinghua, Wang

PY - 2013

Y1 - 2013

N2 - A novel design of analog front-end for detecting the neural signal is present in this paper. According to the traditional way with sigma delta ADC or pipelined ADC, this paper provides a new method to get better performance. The analog front-end contains low noise operational amplifier and SAR ADC which can be shared by multi channels. The design is verified in SMIC 0.18um CMOS process. The total current of 2 channels is only 2mA that is mainly cost by OPA. This circuit provides the new method to achieve ultra low power in Neural Signal Detection system.

AB - A novel design of analog front-end for detecting the neural signal is present in this paper. According to the traditional way with sigma delta ADC or pipelined ADC, this paper provides a new method to get better performance. The analog front-end contains low noise operational amplifier and SAR ADC which can be shared by multi channels. The design is verified in SMIC 0.18um CMOS process. The total current of 2 channels is only 2mA that is mainly cost by OPA. This circuit provides the new method to achieve ultra low power in Neural Signal Detection system.

KW - LNopa

KW - Neural signal

KW - SAR ADC

KW - Shared ADC

UR - http://www.scopus.com/inward/record.url?scp=84893485737&partnerID=8YFLogxK

U2 - 10.1109/GreenCom-iThings-CPSCom.2013.336

DO - 10.1109/GreenCom-iThings-CPSCom.2013.336

M3 - Conference contribution

AN - SCOPUS:84893485737

SN - 9780769550466

T3 - 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

SP - 1817

EP - 1819

BT - 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

T2 - 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

Y2 - 20 August 2013 through 23 August 2013

ER -

Hua D, Lei Z, Zhiming C, Xiaoyan G, Xinghua W. Circuit design of analog front-end for neural signal detection. 在 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. 2013. 页码 1817-1819. 6682347. (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). doi: 10.1109/GreenCom-iThings-CPSCom.2013.336

Circuit design of analog front-end for neural signal detection

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