• DocumentCode
    189856
  • Title

    A non-invasive flexible multi-channel electrode for in vivo mouse EEG recording

  • Author

    Donghyeon Kim ; Chanmi Yeon ; Euiheon Chung ; Kiseon Kim

  • Author_Institution
    Sch. of Inf. & Commun., Gwangju Inst. of Sci. & Technol., Gwangju, South Korea
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    1111
  • Lastpage
    1114
  • Abstract
    Although stainless steel screw is widely used in various mouse electroencephalogram (EEG) researches, it is potentially dangerous to be implanted in young mice or disease models due to the high risks of bleeding, infection, or traumatic injury. In this paper, we introduce a non-invasive flexible multi-channel electrode for sensory evoked potential recording to alleviate the risk of screw implantation in mice. The electrode has been designed to stably sit on the scalp and cover the curvature of scalp without the need of screws. In addition, the electrode guarantees reusability such that it can be attached and detached conveniently for usage on the scalp of multiple mice. We have designed a sixteen-channel electrode array to analyze sensory evoked potential recording spatiotemporally. We further verify its performance by conducting an experiment related to the resting state, attaching the needle on the right hindlimb, and electrical stimulation of the right hindlimb.
  • Keywords
    bioelectric potentials; biomedical electrodes; diseases; electroencephalography; skin; bleeding; disease models; electrical stimulation; in vivo mouse EEG recording; infection; mouse electroencephalogram; needle; noninvasive flexible multi-channel electrode; right hindlimb; scalp; sensory evoked potential recording; sixteen-channel electrode array; stainless steel screw; traumatic injury; Electrical stimulation; Electrodes; Electroencephalography; Fasteners; Mice; Needles; Scalp; Electroencephalography (EEG); flexibility; multi-channel electrode; reusability; sensory evoked potential recording;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SENSORS, 2014 IEEE
  • Conference_Location
    Valencia
  • Type

    conf

  • DOI
    10.1109/ICSENS.2014.6985200
  • Filename
    6985200