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

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	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
Number of pages	3
DOIs	https://doi.org/10.1109/GreenCom-iThings-CPSCom.2013.336
Publication status	Published - 2013
Event	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, China Duration: 20 Aug 2013 → 23 Aug 2013

Publication series

Name	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

Conference

Conference	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
Country/Territory	China
City	Beijing
Period	20/08/13 → 23/08/13

Keywords

LNopa
Neural signal
SAR ADC
Shared ADC

Access to Document

10.1109/GreenCom-iThings-CPSCom.2013.336

Cite this

Hua, D., Lei, Z., Zhiming, C., Xiaoyan, G., & Xinghua, W. (2013). Circuit design of analog front-end for neural signal detection. In 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 (pp. 1817-1819). Article 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 et al. / 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. pp. 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. in 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, pp. 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, China, 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 et al.
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. p. 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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. In 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. p. 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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this