A 24 Vpp compliant biphasic stimulator for inductively powered animal behavior studies

Sudip Nag, Dinesh Sharma, Nitish V. Thakor

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

Abstract

Stimulation of biological neurons using electrical charges has gained popularity in neuro-engineering studies. Wireless power delivery to electrical stimulators is an essential requirement for long term and maintenance-free implantable applications. Voltage compliance is often a limiting factor in these systems. We present an inductively powered biphasic stimulator that is capable of exhibiting 24 Vpp load voltage compliance, while harvesting up to 13 V. The stimulator can deliver currents ranging from 10 μA to 6 mA. The inductive energy harvesting system operates at a low carrier frequency of 134.2 KHz for enhanced depth of penetration in biological medium. The near-field harvester works reliably for up to 50 mm inter-antenna distance. Noise performance and charge balancing accuracy have also been improved due to the absence of a boost switching circuit and floating current source based architecture. In-vivo motor and visual cortex stimulations have been performed using epi-dural screw electrodes on an awake behaving and anesthetized Wister rat.

Original languageEnglish (US)
Title of host publication2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Pages3242-3245
Number of pages4
DOIs
StatePublished - Oct 31 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
CountryJapan
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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