Cortical control of reach and grasp kinematics in a virtual environment using musculoskeletal modeling software

Vikram Aggarwal, Matthew Kerr, Adam G. Davidson, Rahman Davoodi, Gerald E. Loeb, Marc H. Schieber, Nitish V. Thakor

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

Abstract

Recently there has been a major initiative to develop a Brain-Machine Interface (BMI) for dexterous control of an upper-limb neuroprosthesis. This paper describes the use of a virtual environment using Musculoskeletal Modeling Software as a model system to test and evaluate cortical algorithms for predicting reach and grasp kinematics. Simultaneous neural and motion tracking data was acquired from a non-human primate trained to perform a center-out reach-and-grasp task. A Kalman Filter was designed to simultaneously predict kinematics of the arm, hand, and fingers with high accuracy (avg r0.83; avg RMSE13.7%). In lieu of an advanced mechanical limb, the decoded output was used to manipulate a fully articulated 18-DoF arm in a virtual environment using MSMS. This platform lays the foundation for future closed-loop experiments with non-human primates to demonstrate a BMI for dexterous control of the hand and fingers.

Original languageEnglish (US)
Title of host publication2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011
Pages388-391
Number of pages4
DOIs
StatePublished - Jul 20 2011
Event2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011 - Cancun, Mexico
Duration: Apr 27 2011May 1 2011

Publication series

Name2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011

Other

Other2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011
CountryMexico
CityCancun
Period4/27/115/1/11

ASJC Scopus subject areas

  • Neuroscience(all)

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    Aggarwal, V., Kerr, M., Davidson, A. G., Davoodi, R., Loeb, G. E., Schieber, M. H., & Thakor, N. V. (2011). Cortical control of reach and grasp kinematics in a virtual environment using musculoskeletal modeling software. In 2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011 (pp. 388-391). [5910568] (2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011). https://doi.org/10.1109/NER.2011.5910568