• DocumentCode
    2221291
  • Title

    Differential EEG

  • Author

    Yen, Sheng-Feng Steve ; Schoonover, Daniel ; Sanchez, Justin C. ; Principe, Jose C. ; Harris, John G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
  • fYear
    2009
  • fDate
    April 29 2009-May 2 2009
  • Firstpage
    18
  • Lastpage
    21
  • Abstract
    We propose to improve the spatial resolution of electroencephalography (EEG) using a differential recording methodology. Conventional EEG (CEEG) systems independently amplify and digitize the signal from each electrode. The Differential EEG (DEEG) approach amplifies the minute difference signal between neighboring electrodes which greatly eases the burden on the subsequent amplification and data conversion stages. A custom DEEG system was designed and fabricated in a 0.6 um CMOS process. The fabricated chip was built into a small prototype DEEG recording system used to measure alpha waves from the occipital lobe of a human subject. We show that the differential approach suffers from fewer artifacts in an eye open/closed determination task than a commercial CEEG system. Artifacts are mainly due to the signal level dependent noise and amplifier mismatch in the CEEG amplifiers. All of our experiments were run with a fixed 3 cm electrode spacing, however we expect to improve the resolution of EEG below 1 cm electrode spacing.
  • Keywords
    CMOS integrated circuits; biomedical electrodes; differential amplifiers; electroencephalography; CMOS process; amplification; amplifiers; data conversion; differential EEG; differential recording methodology; electroencephalography; neighboring electrodes; occipital lobe; signal level dependent noise; spatial of; CMOS process; Data conversion; Electrodes; Electroencephalography; Humans; Noise level; Prototypes; Semiconductor device measurement; Signal resolution; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on
  • Conference_Location
    Antalya
  • Print_ISBN
    978-1-4244-2072-8
  • Electronic_ISBN
    978-1-4244-2073-5
  • Type

    conf

  • DOI
    10.1109/NER.2009.5109224
  • Filename
    5109224