Low power programmable front-end for a multichannel neural recording interface

被引:0
|
作者
Gosselin, B [1 ]
Simard, V [1 ]
Sawan, M [1 ]
机构
[1] Ecole Polytech, Dept Elect Engn, PolySTIM Neurotechnol Lab, Montreal, PQ H3C 3A7, Canada
关键词
preamplifier; neural cortical recording; implantable electronic device;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We propose in this paper a programmable gain preamplification front-end for a fully implantable multichannel data acquisition system (IMDAS) that is dedicated for chronic neural signal recording. This application calls for very low power and low voltage circuit techniques. To satisfy these constraints, the preamplifier is designed in 0.18mum CMOS technology and all employed transistors operate in weak inversion. To maximize the dynamic range of the recorded signals, the preamplifier's gain is set by a 4-bit digital-to-analog converter (DAC). This DAC is used to tune the bias currents of a variable transconductor cell in order to vary its DC gain. The simulation of the whole proposed module gives a maximum power consumption of 530nW at a supply voltage of 0.9V. The circuit provides a maximum gain of 47dB, has a cutoff frequency of 2.65kHz and presents an input-referred noise of 7.65muVrms which is sufficiently low to meet the required precision. In addition, the phase margin is higher than 50degrees on the entire gain range.
引用
收藏
页码:911 / 914
页数:4
相关论文
共 50 条
  • [1] Low Power Implantable Neural Recording Front-End
    Anh Tuan Do
    Tan, YungSern
    Lam, Chunkit
    Je, Minkyu
    Yeo, Kiat Seng
    2012 INTERNATIONAL SOC DESIGN CONFERENCE (ISOCC), 2012, : 387 - 390
  • [2] A 2.2 μW analog front-end for multichannel neural recording
    Luis Valtierra, Jose
    Delgado-Restituto, Manuel
    Rodriguez-Vazquez, Angel
    2017 IEEE 8TH LATIN AMERICAN SYMPOSIUM ON CIRCUITS & SYSTEMS (LASCAS), 2017,
  • [3] A Multichannel Analog Front-End for Recording Neural Electrical Signals
    Feng, Yuan
    Wang, Zhi-Gong
    Lu, Xiao-Ying
    Shuai, An
    Xian, Li
    2014 IEEE INTERNATIONAL SYMPOSIUM ON BIOELECTRONICS AND BIOINFORMATICS (ISBB), 2014,
  • [4] Fully-Differential Multichannel Integrated Neural Signal Recording Front-End
    Xiaoran Li
    Shun'an Zhong
    Haidong Yang
    Libin Yao
    Journal of Beijing Institute of Technology, 2017, 26 (02) : 228 - 234
  • [5] A low power low noise analog front-end for ECG recording
    Subhajit Dey
    Manisha Pattanaik
    Gaurav Kaushal
    Analog Integrated Circuits and Signal Processing, 2021, 109 : 449 - 458
  • [6] A low power low noise analog front-end for ECG recording
    Dey, Subhajit
    Pattanaik, Manisha
    Kaushal, Gaurav
    ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING, 2021, 109 (02) : 449 - 458
  • [7] Low-noise low-power front-end logarithmic amplifier for neural recording system
    Derafshi, Zahra Haddad
    Frounchi, Javad
    INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, 2014, 42 (05) : 437 - 451
  • [8] A LOW-NOISE LOW-POWER FRONT-END AMPLIFIER FOR NEURAL-RECORDING APPLICATIONS
    Zarifi, Mohammad Hossein
    Frounchi, Javad
    Tinati, Mohammad A.
    Farshchi, Shahin
    Judy, Jack W.
    BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS, 2010, 22 (04): : 301 - 306
  • [9] Silicon-based Multichannel Probe Integrated with a Front End Low Power Neural Recording IC for Acute Neural Recording
    Cheng, Ming-Yuan
    Tan, Kwan Ling
    Chen, Weiguo
    Lim, Ruiqi
    Damalerio, Maria Ramona B.
    Yao, Lei
    Li, Peng
    Gu, Yuandong
    Je, Minkyu
    MATERIALS ENGINEERING AND TECHNOLOGY, 2014, 849 : 189 - 194
  • [10] An Ultra-Low-Power Front-end Neural Interface with Automatic Gain for Uncalibrated Monitoring
    Paraskevopoulou, Sivylla E.
    Constandinou, Timothy G.
    2012 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 2012), 2012, : 193 - 196