• DocumentCode
    3138280
  • Title

    A Low-Noise, Non-Contact EEG/ECG Sensor

  • Author

    Sullivan, Thomas J. ; Deiss, Stephen R. ; Cauwenberghs, Gert

  • Author_Institution
    California Univ., San Diego
  • fYear
    2007
  • fDate
    27-30 Nov. 2007
  • Firstpage
    154
  • Lastpage
    157
  • Abstract
    Typical electroencephalogram (EEG) and electrocardiogram (ECG) sensors require conductive gel to ensure low-impedance electrical contact between the sensor and skin, making set-up time-consuming and long-term recording problematic. We present a gel-free, non-contact EEG/ECG sensor with on-board electrode that capacitively couples to the skin. Active shielding of the high-impedance input significantly reduces noise pickup, and reduces variations in gain as a function of gap distance. The integrated sensor combines amplification, bandpass filtering, and analog-to-digital conversion within a 1 inch diameter enclosure. The measured input-referred noise, over 1-100 Hz frequency range, is 2 muVrms at 0.2 mm sensor distance, and 17 muVrms at 3.2 mm distance. Experiments coupling the sensor to human scalp through hair and to chest through clothing produce clear EEG and ECG recorded signals.
  • Keywords
    analogue-digital conversion; band-pass filters; biomedical electrodes; biomedical electronics; electrocardiography; electroencephalography; gels; skin; ECG-sensor; EEG-sensor; analog-to-digital conversion; bandpass filtering; capacitive sensing; conductive gel; distance 0.2 mm; electrocardiogram; electroencephalogram; human scalp; integrated sensor; low-impedance electrical contact; noise pickup; noncontact biopotential sensor; on-board electrode; Active noise reduction; Analog-digital conversion; Band pass filters; Capacitive sensors; Contacts; Electrocardiography; Electrodes; Electroencephalography; Filtering; Skin; ECG; EEG; capacitive sensing; non-contact biopotential sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference, 2007. BIOCAS 2007. IEEE
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    978-1-4244-1524-3
  • Electronic_ISBN
    978-1-4244-1525-0
  • Type

    conf

  • DOI
    10.1109/BIOCAS.2007.4463332
  • Filename
    4463332