Multi-state decoding of point-and-click control signals from motor cortical activity in a human with tetraplegia

2007

Conference Paper

ps

Basic neural-prosthetic control of a computer cursor has been recently demonstrated by Hochberg et al. [1] using the BrainGate system (Cyberkinetics Neurotechnology Systems, Inc.). While these results demonstrate the feasibility of intracortically-driven prostheses for humans with paralysis, a practical cursor-based computer interface requires more precise cursor control and the ability to “click” on areas of interest. Here we present a practical point and click device that decodes both continuous states (e.g. cursor kinematics) and discrete states (e.g. click state) from single neural population in human motor cortex. We describe a probabilistic multi-state decoder and the necessary training paradigms that enable point and click cursor control by a human with tetraplegia using an implanted microelectrode array. We present results from multiple recording sessions and quantify the point and click performance.

@inproceedings{Kim:NE:2007,
  title = {Multi-state decoding of point-and-click control signals from motor cortical activity in a human with tetraplegia},
  author = {Kim, S.-P. and Simeral, J. and Hochberg, L. and Donoghue, J. P. and Friehs, G. and Black, M. J.},
  booktitle = {The 3rd International IEEE EMBS Conference on Neural Engineering},
  pages = {486--489},
  month = may,
  year = {2007},
  doi = {},
  month_numeric = {5}
}