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Improving performance of asynchronous BCI by using a collection of overlapping sub window models

Published: 22 April 2009 Publication History

Abstract

Asynchronous Brain Computer Interfaces (BCI) have become an interesting topic in the present days because they provide simulation of realistic usage of BCI. For asynchronous BCI, the computer has to discriminate not only differences among various imaginary tasks but also detect relax periods. Since the training phase for building a classification model is still synchronous (cue-based), the main challenge is to classify the EEG signal continuously with good accuracy on asynchronous (uncue-based). This paper addresses achieving better performance by using a collection of overlapping sub windows models. A model is referred to a primitive classification model which consists of common spatial patterns (CSP) with linear discriminant analysis (LDA). Each primitive model was trained with the corresponding sub window indexes. We had 3 collections of models: task1 vs. task2, task1 vs. relax, and task2 vs. relax. These binary classification results were then fused together with Mahalanobis distance to gain better performance. The results were measured by mean square error (MSE), and their performance is better compared to the primitive model. Furthermore, the results on the test set were comparable to the 3 leading scores of BCI Competition IV dataset 1.

References

[1]
Blankertz, B. 2008. BCI Competition IV. Retrieved January 22, 2009, from Fraunhofer FIRST (IDA): http://ida.first.fhg.de/projects/bci/competition_iv.
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Blankertz, B., Dornhege, G., Krauledat, M., Müller, K.-R. and Curio, G. The non-invasive Berlin Brain-Computer Interface: Fast acquisition of effective performance in untrained subjects. NeuroImage, 37(2) (Mar. 2007). 2007, 539--550.
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Blankertz, B., Kawanabe, M., Tomioka, Ryota., Hohlefeld FU. and Nikulin, V. Invariant common spatial patterns: Alleviating nonstationarities in Brain-Computer Interfacing. In Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems (NIP 2007) (Vancouver and Whistler, B.C., Canada, December 3--8, 2007). 2007.
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Dornhege, G., Blankertz, B, Krauledat, M., Losch, F., Curio, G and Müller, K.-R. Optimizing spatio-temporal filters for improving brain-computer interfacing. In Proceedings of Advances in Neural Information Processing Systems (NIPS 2005) (Vancouver, British Columbia, December 5--8, 2005), 18, 2006, 315--322.
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Lemm, S., Blankertz, B., Curio, G. and Müller, K.-R. Spatiospectral filters for improving classification of single trial EEG. IEEE Trans. Biomed. Eng., 52, 9 (2005), 1541--1548.
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Ramoser, H., Müller-Gerking, J., and Pfurtscheller, G. Optimal Spatial Filtering of Single Trial EEG During Imagined Hand Movement. IEEE Trans. Rehab. Engin., 8, 4 (Dec. 2000), 441--446.
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Sadeghian, E. B. and Moradi, M. H. Continuous detection of motor imagery in a four-class asynchronous BCI. In Proceedings of the 29th Annual International Conference of the IEEE (EMBS 2007) (Lyon, France, August 23--26, 2007). 2007, 3241--3244.
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Vidaurre, C., Schlögl, A., Blankertz, B., Kawanabe, M. and Müller, KR. Unsupervised adaptation of the LDA classifier for Brain computer interfaces. In Proceedings of the 4th International Brain-Computer Interface Workshop and Training Course 2008 (Graz, Austria, September 18--20, 2008). Verlag der Technischen Universität Graz, 2008.
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Wang, Y., Gao, S., Gao, X., Common Spatial Pattern Method for Channel Selection in Motor Imagery Based Brain-computer Interface. In Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference (IEEE-EMBC 2005) (Shanghai, China, September 1--4, 2005). 2005, 5392--5395.

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  • (2009)Automatic and semi-automatic approaches for Selecting prominent spatial filters of CSP in BCI applicationsProceedings of the 2009 international conference on Brain informatics10.5555/1813657.1813692(203-213)Online publication date: 22-Oct-2009

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cover image ACM Other conferences
i-CREATe '09: Proceedings of the 3rd International Convention on Rehabilitation Engineering & Assistive Technology
April 2009
222 pages
ISBN:9781605587929
DOI:10.1145/1592700
  • Conference Chairs:
  • Wei Tech Ang,
  • Wantanee Phantachat
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Published: 22 April 2009

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  1. asynchronous BCI
  2. brain-computer interface
  3. motor imagery

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  • (2009)Automatic and semi-automatic approaches for Selecting prominent spatial filters of CSP in BCI applicationsProceedings of the 2009 international conference on Brain informatics10.5555/1813657.1813692(203-213)Online publication date: 22-Oct-2009

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