Safe direct current stimulator 2: Concept and design

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

Essentially all neuroprostheses use alternating biphasic current pulses to stimulate neural tissue. While this method can effectively excite neurons, it is not very effective for inhibiting them. In contrast, direct current (DC) can excite, inhibit, and modulate sensitivity of neurons. However, DC stimulation is biologically unsafe because it violates safe charge injection criteria. We have previously described the concept of a safe direct current stimulator (SDCS) that overcomes this constraint. The SDCS drives DC ionic current into the tissue by switching fluid valves in phase with biphasic current pulses delivered to the metal electrodes within the device. The original prototype of this device, SDCS1, could both suppress and excite the vestibular nerve with DC stimulation delivered by the device. In the process of building the SDCS1 we identified several problems that must be addressed to further develop this technology. Consequently, we designed the SDCS2, which eliminates periodic interruptions in stimulation current flow observed in the original SDCS1 design and is small enough for head-mounted use in chronic animal studies.

Original languageEnglish (US)
Title of host publication2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Pages3126-3129
Number of pages4
DOIs
StatePublished - 2013
Event2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, Japan
Duration: Jul 3 2013Jul 7 2013

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Other

Other2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Country/TerritoryJapan
CityOsaka
Period7/3/137/7/13

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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