The muscle activation method: an approach to impedance control of brain-machine interfaces through a musculoskeletal model of the arm.

Published

Journal Article

Current demonstrations of brain-machine interfaces (BMIs) have shown the potential for controlling neuroprostheses under pure motion control. For interaction with objects, however, pure motion control lacks the information required for versatile manipulation. This paper investigates the idea of applying impedance control in a BMI system. An extraction algorithm incorporating a musculoskeletal arm model was developed for this purpose. The new algorithm, called the muscle activation method (MAM), was tested on cortical recordings from a behaving monkey. The MAM was found to predict motion parameters with as much accuracy as a linear filter. Furthermore, it successfully predicted limb interactions with novel force fields, which is a new and significant capability lacking in other algorithms.

Full Text

Duke Authors

Cited Authors

  • Kim, HK; Carmena, JM; Biggs, SJ; Hanson, TL; Nicolelis, MAL; Srinivasan, MA

Published Date

  • August 2007

Published In

Volume / Issue

  • 54 / 8

Start / End Page

  • 1520 - 1529

PubMed ID

  • 17694874

Pubmed Central ID

  • 17694874

International Standard Serial Number (ISSN)

  • 0018-9294

Digital Object Identifier (DOI)

  • 10.1109/TBME.2007.900818

Language

  • eng

Conference Location

  • United States