@inproceedings{0197be74191945558ed2904a8f9eb5dd,
title = "Cortical control of reach and grasp kinematics in a virtual environment using musculoskeletal modeling software",
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.",
author = "Vikram Aggarwal and Matthew Kerr and Davidson, {Adam G.} and Rahman Davoodi and Loeb, {Gerald E.} and Schieber, {Marc H.} and Thakor, {Nitish V.}",
year = "2011",
month = jul,
day = "20",
doi = "10.1109/NER.2011.5910568",
language = "English (US)",
isbn = "9781424441402",
series = "2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011",
pages = "388--391",
booktitle = "2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011",
note = "2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011 ; Conference date: 27-04-2011 Through 01-05-2011",
}