An 8-Channel Fully Differential Analog Front-End for Neural Recording

被引：0

作者：

Gui, Yun ^{[1
]}

Zhang, Xu ^{[1
]}

Wang, Yuan ^{[1
]}

Chen, Sanyuan ^{[1
]}

Huang, Beiju ^{[1
]}

Pei, Weihua ^{[1
]}

Chen, Hongda ^{[1
]}

Liang, Kai ^{[2
]}

Huang, Suibiao ^{[2
]}

Wang, Bo ^{[2
]}

Wu, Zhaohui ^{[2
]}

Li, Bin ^{[2
]}

机构：

[1] Chinese Acad Sci, Inst Semicond, State Key Lab Integrated Optoelect, Beijing 100083, Peoples R China

[2] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou, Peoples R China

来源：

2012 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS): INTELLIGENT BIOMEDICAL ELECTRONICS AND SYSTEM FOR BETTER LIFE AND BETTER ENVIRONMENT | 2012年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An 8-channel, analog front-end chip for neural recording is presented in this paper. The chip consists of eight neural recording amplifiers with tunable bandwidth and gain, eight 4th-order Bessel switch capacitor filters, an 8-to-1 analog time-division multiplexer, a fully differential successive approximation (SAR) analog-to-digital converter (ADC), and a serial peripheral interface for communication. The neural recording amplifier presents a programmable gain from 53 dB to 68 dB, a tunable low cut-off frequency from 0.1 Hz to several hundred Hz, and 3.77 mu V-rms referred noise. The SAR ADC digitizes signals at maximum sampling rate of 20 kS/s per channel and achieves an ENOB of 7.4. The chip is designed and fabricated in 0.18-mu m CMOS process. We successfully performed simultaneous multi-channel recording in vitro experiment using the neural recording chip.

引用

页码：132 / 135

页数：4

共 50 条

[41] A Sub-μW/Ch Analog Front-End for Δ-Neural Recording With Spike-Driven Data Compression
Kim, Seong-Jin
Han, Su-Hyun
Cha, Ji-Hyoung
Liu, Lei
Yao, Lei
Gao, Yuan
Je, Minkyu
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2019, 13 (01) : 1 - 14
[42] Low-power low-noise 8-channel EEG front-end ASIC for ambulatory acquisition systems
Yazicioglu, Refet Firat
Merken, Patrick
Puers, Robert
Van Hoof, Chris
ESSCIRC 2006: PROCEEDINGS OF THE 32ND EUROPEAN SOLID-STATE CIRCUITS CONFERENCE, 2006, : 247 - +
[43] A 16-channel 38.6 mW/ch Fully Integrated Analog Front-end for Handheld Ultrasound Imaging
Roa, Elkim
Beumer, Kim
Chirala, Mohan
2014 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS), 2014, : 647 - 650
[44] A Fully Differential Analog Front-End for Signal Processing from EMG Sensor in 28 nm FDSOI Technology
Kledrowetz, Vilem
Prokop, Roman
Fujcik, Lukas
Haze, Jiri
SENSORS, 2023, 23 (07)
[45] CMOS analog front-end channel for silicon photo-multipliers
Corsi, F.
Foresta, M.
Marzocca, C.
Matarrese, G.
Del Guerra, A.
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2010, 617 (1-3): : 319 - 320
[46] A 66-dB SNDR, 8-μW analog front-end for ECG/EEG recording application
Chen, Chengying
Chen, Liming
Wang, Xinghua
Zhang, Feng
2018 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2018,
[47] Low power programmable front-end for a multichannel neural recording interface
Gosselin, B
Simard, V
Sawan, M
CCECE 2003: CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-3, PROCEEDINGS: TOWARD A CARING AND HUMANE TECHNOLOGY, 2003, : 911 - 914
[48] Recording Front-End Systems Analysis
Contreras, John Thomas
Alex, Michael
Xing, Xinzhi
IEEE TRANSACTIONS ON MAGNETICS, 2010, 46 (03) : 790 - 797
[49] A Sub-μW Reconfigurable Front-End for Invasive Neural Recording
Luis Valtierra, Jose
Fiorelli, Rafaella
Delgado-Restituto, Manuel
Rodriguez-Vazquez, Angel
2019 IEEE 10TH LATIN AMERICAN SYMPOSIUM ON CIRCUITS & SYSTEMS (LASCAS), 2019, : 85 - 88
[50] An 8-Channel Ambulatory EEG Recording IC With In-Channel Fully-Analog Real-Time Motion Artifact Extraction and Removal
Dabbaghian, Alireza
Kassiri, Hossein
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2023, 17 (05) : 999 - 1009

← 1 2 3 4 5 →