• DocumentCode
    3204752
  • Title

    Non-contact Low Power EEG/ECG Electrode for High Density Wearable Biopotential Sensor Networks

  • Author

    Chi, Yu M. ; Deiss, Stephen R. ; Cauwenberghs, Gert

  • Author_Institution
    Univ. of California, San Diego, La Jolla, CA, USA
  • fYear
    2009
  • fDate
    3-5 June 2009
  • Firstpage
    246
  • Lastpage
    250
  • Abstract
    A non-contact capacitive biopotential electrode with a common-mode noise suppression circuit is presented. The sensor network utilizes a single conductive sheet to establish a common body wide reference line, eliminating the need for an explicit signal ground connection. Each electrode senses the local biopotential with a differential gain of 46 dB over a 1-100 Hz bandwidth. Signals are digitized directly on board with a 16-bit ADC. The coin sized electrode consumes 285 ¿A from a single 3.3 V supply, and interfaces with a serial data bus for daisy-chain integration in body area sensor networks.
  • Keywords
    analogue-digital conversion; biomedical electrodes; biomedical electronics; body area networks; electrocardiography; electroencephalography; wireless sensor networks; 16-bit ADC; bandwidth 1 Hz to 100 Hz; capacitive biopotential electrode; common-mode noise suppression circuit; current 285 muA; daisy-chain integration; gain 46 dB; high-density wearable biopotential sensor network; noncontact low-power EEG-ECG electrode; serial data bus; signal digitalization; voltage 3.3 V; wireless body area sensor network; Biomedical monitoring; Biosensors; Body sensor networks; Capacitive sensors; Electrocardiography; Electrodes; Electroencephalography; Operational amplifiers; Wearable sensors; Wireless sensor networks; body sensor; capacitive sensor; ecg; eeg;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wearable and Implantable Body Sensor Networks, 2009. BSN 2009. Sixth International Workshop on
  • Conference_Location
    Berkeley, CA
  • Print_ISBN
    978-0-7695-3644-6
  • Type

    conf

  • DOI
    10.1109/BSN.2009.52
  • Filename
    5226885