An Inductively-Powered Wireless Neural Recording System With a Charge Sampling Analog Front-End

被引:33
|
作者
Lee, Seung Bae [1 ]
Lee, Byunghun [1 ]
Kiani, Mehdi [1 ]
Mahmoudi, Babak [2 ]
Gross, Robert [2 ]
Ghovanloo, Maysam [1 ]
机构
[1] Georgia Inst Technol, Sch Elect & Comp Engn, GT Bion Lab, Atlanta, GA 30308 USA
[2] Emory Univ, Dept Neurosurg, Atlanta, GA 30322 USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
Wireless neural recording; dual-slope charge sampling; wireless power transmission; stimulus artifact rejection; implantable medical devices; SMART EXPERIMENTAL ARENA; BRAIN;
D O I
10.1109/JSEN.2015.2483747
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
An inductively-powered wireless integrated neural recording system (WINeR-7) is presented for wireless and battery-less neural recording from freely-behaving animal subjects inside a wirelessly powered standard homecage. The WINeR-7 system employs a novel wide-swing dual slope charge sampling (DSCS) analog front-end (AFE) architecture, which performs amplification, filtering, sampling, and analog-to-time conversion with minimal interference and small amount of power. The output of the DSCS-AFE produces a pseudodigital pulse-width modulated (PWM) signal. A circular shift register time-division multiplexes (TDM) the PWM pulses to create a TDM-PWM signal, which is fed into an on-chip 915-MHz transmitter (Tx). The AFE and Tx are supplied at 1.8 and 4.2 V, respectively, by a power management block, which includes a high efficiency active rectifier and automatic resonance tuning, operating at 13.56 MHz. The eight-channel system-on-a-chip was fabricated in a 0.35-mu m CMOS process, occupying 5x2.5 mm(2) and consumed 51.4 mW. For each channel, the sampling rate is 21.48 kHz and the power consumption is 19.3 mu W. In vivo experiments were conducted on freely-behaving rats in an energized homecage by continuously delivering 51.4 mW to the WINeR-7 system in a closed-loop fashion and recording local field potentials.
引用
收藏
页码:475 / 484
页数:10
相关论文
共 50 条
  • [1] A Dual Slope Charge Sampling Analog Front-End for a Wireless Neural Recording System
    Lee, Seung Bae
    Lee, Byunghun
    Gosselin, Benoit
    Ghovanloo, Maysam
    2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2014, : 3134 - 3137
  • [2] An Inductively-Powered Wireless Neural Recording and Stimulation System for Freely-Behaving Animals
    Lee, Byunghun
    Jia, Yaoyao
    Mirbozorgi, S. Abdollah
    Connolly, Mark
    Tong, Xingyuan
    Zeng, Zhaoping
    Mahmoudi, Babak
    Ghovanloo, Maysam
    IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2019, 13 (02) : 413 - 424
  • [3] 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,
  • [4] 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,
  • [5] In-Vivo Validation of a Compact Inductively-Powered Neural Recording Interface
    Shoaran, Mahsa
    Yilmaz, Guerkan
    Periasamy, Ramesh
    Seiler, Stefanie
    Di Santo, Stefano
    Pollo, Claudio
    Schindler, Kaspar
    Widmer, Hans-Rudolf
    Dehollain, Catherine
    Schmid, Alexandre
    2014 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS), 2014, : 360 - 363
  • [6] An Analog Front-End Circuit with Spike Detection For Implantable Neural Recording System Design
    An, Guanglei
    Kanishka, De
    Hao, Cheng
    Ahmed, Rehan
    Hutchens, Chriswell
    Rennaker, Robert L., II
    2014 IEEE 57TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS), 2014, : 881 - 884
  • [7] Activity based neural front-end recording system
    Aslam, J.
    Merken, P.
    Huys, R.
    Erismis, M. Akif
    Yazicioglu, R. Firat
    Puers, R.
    Van Hoof, C.
    ELECTRONICS LETTERS, 2011, 47 (21) : 1170 - U25
  • [8] A 64-Channel Inductively-Powered Neural Recording Sensor Array
    Rodriguez-Perez, Alberto
    Masuch, Jens
    Rodriguez-Rodriguez, Jose A.
    Delgado-Restituto, Manuel
    Rodriguez-Vazquez, Angel
    2012 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS): INTELLIGENT BIOMEDICAL ELECTRONICS AND SYSTEM FOR BETTER LIFE AND BETTER ENVIRONMENT, 2012, : 228 - 231
  • [9] A Modular Analog Front-End for the Recording of Neural Spikes and Local Field Potentials within a Neural Measurement System
    Heidmann, Nils
    Hellwege, Nico
    Pistor, Jonas
    Peters-Drolshagen, Dagmar
    Paul, Steffen
    28TH EUROPEAN CONFERENCE ON SOLID-STATE TRANSDUCERS (EUROSENSORS 2014), 2014, 87 : 1239 - 1242
  • [10] An 8-Channel Fully Differential Analog Front-End for Neural Recording
    Gui, Yun
    Zhang, Xu
    Wang, Yuan
    Chen, Sanyuan
    Huang, Beiju
    Pei, Weihua
    Chen, Hongda
    Liang, Kai
    Huang, Suibiao
    Wang, Bo
    Wu, Zhaohui
    Li, Bin
    2012 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS): INTELLIGENT BIOMEDICAL ELECTRONICS AND SYSTEM FOR BETTER LIFE AND BETTER ENVIRONMENT, 2012, : 132 - 135