• DocumentCode
    612286
  • Title

    A wearable UHF RFID-based EEG system

  • Author

    Dementyev, A. ; Smith, J.R.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA
  • fYear
    2013
  • fDate
    April 30 2013-May 2 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The wearable electroencephalogram (EEG) monitoring systems are the cornerstone of noninvasive brain-computer interfaces (BCI) and many medical applications, but state-of-the-art wearable systems are limited by weight, battery life and size. In this paper we present EEGWISP: am EEG monitoring system that is battery-free; is powered by a standard UHF RFID reader; and uses backscatter to transmit the data using a EPC Class 1 Gen2 protocol. Since EEGWISP does not need batteries it can be lightweight, miniature and maintenance free for users. We designed a low-power EEG acquisition circuit with 62.6 μA current consumption. For validation, EEG signals were shown by distinct appearance of 8-12 Hz oscillations (alpha waves) when wearer´s eyes are closed. EEGWISP can record EEG signals at 63 Hz sampling rate, at the distances up to 0.80 m and with 0.1 % data loss. With slight modifications, our system can be used for other biopotential signals such as ECG.
  • Keywords
    biomedical electronics; brain-computer interfaces; electroencephalography; patient monitoring; radiofrequency identification; wearable computers; EEGWISP; EPC Class 1 Gen2 protocol; UHF RFID; backscatter; biopotential signals; electroencephalogram; frequency 63 Hz; frequency 8 Hz to 12 Hz; low-power EEG acquisition circuit; monitoring systems; noninvasive brain-computer interfaces; sampling rate; standard UHF RFID reader; wearable UHF RFID-based EEG system; Capacitors; Electrodes; Electroencephalography; Gain; Radiation detectors; Radio frequency; Radiofrequency identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    RFID (RFID), 2013 IEEE International Conference on
  • Conference_Location
    Penang
  • Print_ISBN
    978-1-4673-5748-7
  • Electronic_ISBN
    978-1-4673-5749-4
  • Type

    conf

  • DOI
    10.1109/RFID.2013.6548128
  • Filename
    6548128