A neural rehabilitation chip with neural recording, peak detection, spike rate counter, and biphasic neural stimulator

Hongjiang Song, Chen Chen, Meng Wei Lin, Kaijun Li, Jennifer Blain Christen

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

1 Scopus citations

Abstract

We demonstrate an integrated circuit to be used as a neural prosthetic. The circuit is designed to record and amplify neural signals. The amplified neural signals are fed through to a sigma-delta analog to digital converter. The output of the sigma-delta is used to control the frequency of a voltage controlled oscillator circuit. The resulting signal is the output of the circuit to be transmitted wirelessly in the next version of the chip. In addition, the amplified neural signal is introduced to a peak detection circuit. The interval between detected peaks is determined and used to trigger a biphasic neural stimulation circuit. The chip is intended as a rehabilitation device for patients suffering from traumatic brain injury or stroke. The chip detect the signals near the damaged area of the brain and reroute the signals to healthy neurons. Our goal is to enable rehabilitation through rerouting and reprogramming of the brain to take advantage of neural plasticity. The chip was implemented in a standard 0.5 μm CMOS process.

Original languageEnglish (US)
Title of host publicationInternational System on Chip Conference
EditorsRamalingam Sridhar, Danella Zhao, Kaijian Shi, Thomas Buchner
PublisherIEEE Computer Society
Pages415-419
Number of pages5
ISBN (Electronic)9781479933785
DOIs
StatePublished - Nov 5 2014
Event27th IEEE International System on Chip Conference, SOCC 2014 - Las Vegas, United States
Duration: Sep 2 2014Sep 5 2014

Publication series

NameInternational System on Chip Conference
ISSN (Print)2164-1676
ISSN (Electronic)2164-1706

Other

Other27th IEEE International System on Chip Conference, SOCC 2014
CountryUnited States
CityLas Vegas
Period9/2/149/5/14

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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    Song, H., Chen, C., Lin, M. W., Li, K., & Blain Christen, J. (2014). A neural rehabilitation chip with neural recording, peak detection, spike rate counter, and biphasic neural stimulator. In R. Sridhar, D. Zhao, K. Shi, & T. Buchner (Eds.), International System on Chip Conference (pp. 415-419). [6948965] (International System on Chip Conference). IEEE Computer Society. https://doi.org/10.1109/SOCC.2014.6948965