Restoring Proprioception via a Cortical Prosthesis: A Novel Learning Based Approach

Abstract

The goal of this work is to use electrical microstimulation to provide artificial proprioception for individuals using Brain-Machine Interfaces (BMIs), and particular for spinal cord injury. Preliminary results suggest that performance levels with combined artificial feedback and visual feedback exceeds that achievable with visual feedback alone. We have also developed new and powerful schemes to remove the electrical artifacts due to micro stimulation from the neural recordings used for BMI control. This allows us to move to a much more efficient paradigm with continuous brain read out for BMI control of an external device and write in for artificial sensory feedback from that device.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2016
Accession Number
AD1031281

Entities

People

  • Philip N. Sabes

Organizations

  • University of California Regents

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Artifacts
  • Brain
  • Closed Loop Systems
  • Data Analysis
  • Feedback
  • Frequency
  • Heart Rate
  • Learning
  • Management Personnel
  • Medical Personnel
  • Proprioception
  • Prostheses And Implants
  • Prosthetics
  • Sensation
  • Spinal Cord
  • Spinal Injuries
  • Students

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Electronics Engineering
  • Neuroscience