• DocumentCode
    497957
  • Title

    A Micro-power EEG acquisition SoC with integrated seizure detection processor for continuous patient monitoring

  • Author

    Verma, Naveen ; Shoeb, Ali ; Guttag, John V. ; Chandrakasan, Anantha P.

  • Author_Institution
    Massachusetts Institute of Technology, Cambridge, 02139, USA
  • fYear
    2009
  • fDate
    16-18 June 2009
  • Firstpage
    62
  • Lastpage
    63
  • Abstract
    Continuous on-scalp EEG monitoring provides a non-invasive means to detect the onset of seizures in epilepsy patients, but cables from the scalp pose a severe strangulation hazard during convulsions. Since the power of transmitting the EEG wirelessly is prohibitive, a complete SoC is presented, performing lowpower EEG acquisition, digitization, and local digital-processing to extract detection features, reducing the transmission-rate by 43x. To maximize power-efficiency, the acquisition LNA operates at the lowest reported VDD (of 1V, drawing 3.5µW), but is able to reject offsets (characteristic of metal-electrodes) that are even larger than the supply voltage. Importantly, its topology simultaneously optimizes noise-efficiency and input-impedance to maximize electrode signal-integrity, and it uses switch-capacitor transformers to improve the noise and manufactureabilty of large on-chip resistors. The complete SoC generates EEG featurevectors every 2sec, consuming a total of 9µJ per feature-vector.
  • Keywords
    Cables; Computer vision; Electrodes; Electroencephalography; Epilepsy; Feature extraction; Hazards; Patient monitoring; Scalp; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Circuits, 2009 Symposium on
  • Conference_Location
    Kyoto, Japan
  • Print_ISBN
    978-1-4244-3307-0
  • Electronic_ISBN
    978-4-86348-001-8
  • Type

    conf

  • Filename
    5205304