• DocumentCode
    2468855
  • Title

    A reconfigurable neural spike recording channel with feature extraction capabilities

  • Author

    Rodríguez-Pérez, Alberto ; Ruiz-Amaya, Jesús ; Guerra, Óscar ; Delgado-Restituto, Manuel

  • Author_Institution
    Inst. of Microelectron. of Seville (IMSE-CNM-CSIC), Univ. of Seville Edificio IMSE-CNM, Sevilla, Spain
  • fYear
    2010
  • fDate
    3-5 Nov. 2010
  • Firstpage
    118
  • Lastpage
    121
  • Abstract
    This paper describes the architecture of a neural spike recording channel with feature extraction capabilities and presents the design of one of its key elements, a reconfigurable 8-bit ADC. The ADC can be programmed for different conversion rates and embeds a 0-18dB programmable gain amplifier with discrete gain steps of 3dB. Simulation results from extracted layout of the ADC, designed in a 130nm CMOS technology, obtain almost 8-bit ENOB at 22.2kS/s and 90kS/s, with a power consumption of 500nW and 1.8μW, respectively.
  • Keywords
    CMOS analogue integrated circuits; CMOS logic circuits; analogue-digital conversion; biomedical electronics; biomedical equipment; body sensor networks; brain; feature extraction; low-power electronics; medical signal detection; neurophysiology; patient diagnosis; radiofrequency amplifiers; reconfigurable architectures; signal processing equipment; CMOS technology; analog-to-digital converter; brain activity acquisition; feature extraction; neurology; power 1.8 muW; power 500 nW; programmable gain amplifier; reconfigurable 8-bit ADC; reconfigurable neural spike recording channel; size 130 nm; wireless transmission; word length 8 bit; Calibration; Clocks; Converters; Electronics packaging; Feature extraction; Power demand; Registers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2010 IEEE
  • Conference_Location
    Paphos
  • Print_ISBN
    978-1-4244-7269-7
  • Electronic_ISBN
    978-1-4244-7268-0
  • Type

    conf

  • DOI
    10.1109/BIOCAS.2010.5709585
  • Filename
    5709585