• DocumentCode
    143994
  • Title

    A multichannel analog front-end for recording neural electrical signals

  • Author

    Yuan Feng ; Zhi-Gong Wang ; Xiao-Ying Lu ; An Shuai ; Li Xian

  • Author_Institution
    Inst. of RF- & OE-ICs, Southeast Univ., Nanjing, China
  • fYear
    2014
  • fDate
    11-14 April 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Recent work in the field of neurophysiology has demonstrated that it is possible to reveal the nature of “memory” and “thinking” which helps to understand how brain works, by means of observing the firing characteristic of action potentials (AP) and the exchange pattern of signals between neurons. To address these needs, we have developed a prototype of a fully integrated circuit for neural recording on a Micro-Electrode Array (MEA). In this scheme, the MEA is composed by 64 electrodes and 2 reference electrodes. The proposed integrated circuit has an area of 5×5 mm2, including 8 recording channels. Each channel can operate independently to execute amplifying, filtering, etc. The circuits are designed and simulated in a standard 0.5μm CMOS technology. According to the simulation results, this chip is able to record AP signal from neurons.
  • Keywords
    analogue integrated circuits; bioelectric potentials; biomedical electrodes; biomedical electronics; microelectrodes; neurophysiology; MEA; action potentials; memory; microelectrode array; multichannel analog front end; neural electrical signal recording; neural recording integrated circuit prototype; neuron signal exchange pattern; neurophysiology; reference electrodes; size 5 mm; thinking; Arrays; Bioinformatics; CMOS integrated circuits; Electrodes; Layout; Neurons; Noise; analog integrated circuits; micro-electrode arrays; neural amplifier; neural signal recording; pseudo resistor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioelectronics and Bioinformatics (ISBB), 2014 IEEE International Symposium on
  • Conference_Location
    Chung Li
  • Print_ISBN
    978-1-4799-2769-2
  • Type

    conf

  • DOI
    10.1109/ISBB.2014.6820944
  • Filename
    6820944