DocumentCode :
3009742
Title :
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
Link To Document :
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