Should the parameters of a BCI translation algorithm be continually adapted?

J Neurosci Methods. 2011 Jul 15;199(1):103-7. doi: 10.1016/j.jneumeth.2011.04.037. Epub 2011 May 6.

Abstract

People with or without motor disabilities can learn to control sensorimotor rhythms (SMRs) recorded from the scalp to move a computer cursor in one or more dimensions or can use the P300 event-related potential as a control signal to make discrete selections. Data collected from individuals using an SMR-based or P300-based BCI were evaluated offline to estimate the impact on performance of continually adapting the parameters of the translation algorithm during BCI operation. The performance of the SMR-based BCI was enhanced by adaptive updating of the feature weights or adaptive normalization of the features. In contrast, P300 performance did not benefit from either of these procedures.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Algorithms*
  • Analysis of Variance*
  • Artificial Intelligence*
  • Brain / physiology*
  • Communication Aids for Disabled*
  • Discriminant Analysis
  • Electroencephalography / instrumentation
  • Electroencephalography / methods*
  • Event-Related Potentials, P300 / physiology*
  • Female
  • Humans
  • Learning Curve
  • Least-Squares Analysis
  • Male
  • Man-Machine Systems*
  • Middle Aged
  • Scalp / physiology
  • Signal Processing, Computer-Assisted
  • Software
  • User-Computer Interface*