Tracking of the Mu Rhythm using an Empirically Derived Matched Filter

Author

Krusienski, D.J. ; Schalk, G. ; McFarland, D.J. ; Wolpaw, J.R.

Author_Institution

Brain-Comput. Interface Lab., New York State Dept. of Health, Albany, NY

fYear

2005

fDate

16-19 March 2005

Firstpage

86

Lastpage

89

Abstract

This paper introduces a method for improved detection and tracking of cortical mu rhythm modulation for the purpose of a brain-computer interface (BCI). The cortical mu rhythm found in the EEG is of particular interest in BCIs because it can be modulated through motor imagery and can be monitored via noninvasive techniques. With proper training, a disabled person can learn to control the mu rhythm to operate a communication device. This paper discusses the extraction of the empirical mu rhythm, proposes a synthetic model for the mu rhythm, and examines the effectiveness of the synthetic model as a matched filter on two-dimensional cursor control data recorded from a BCI

Keywords

bioelectric potentials; electroencephalography; handicapped aids; matched filters; medical signal detection; medical signal processing; EEG; brain-computer interface; communication device; cortical mu rhythm modulation; empirically derived matched filter; motor imagery; mu rhythm tracking; two-dimensional cursor control data; Brain computer interfaces; Brain modeling; Communication system control; Electroencephalography; Laboratories; Matched filters; Monitoring; Noninvasive treatment; Rhythm; Synchronous motors;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on

Conference_Location

Arlington, VA

Print_ISBN

0-7803-8710-4

Type

conf

DOI

10.1109/CNE.2005.1419559

Filename

1419559