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Medical & Biological Engineering & Computing

Erschienen in:

01.01.2007 | Original Article

Study of discriminant analysis applied to motor imagery bipolar data

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 1/2007

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Abstract

We present a study of linear, quadratic and regularized discriminant analysis (RDA) applied to motor imagery data of three subjects. The aim of the work was to find out which classifier can separate better these two-class motor imagery data: linear, quadratic or some function in between the linear and quadratic solutions. Discriminant analysis methods were tested with two different feature extraction techniques, adaptive autoregressive parameters and logarithmic band power estimates, which are commonly used in brain–computer interface research. Differences in classification accuracy of the classifiers were found when using different amounts of data; if a small amount was available, the best classifier was linear discriminant analysis (LDA) and if enough data were available all three classifiers performed very similar. This suggests that the effort needed to find regularizing parameters for RDA can be avoided by using LDA.

Vorheriger Artikel A technique for identifying three diagnostic findings using association analysis

Nächster Artikel Removal of eye movement artefacts from single channel recordings of retinal evoked potentials using synchronous dynamical embedding and independent component analysis

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Birbaumer N, Ghanayim N, Hinterberger T, Iversen I, Kotchoubey B, Kübler A, Perelmouter J, Taub E, Flor H (1999) A brain-controlled spelling device for the completely paralyzed. Nature 398:297–298CrossRef

Blankertz B, Curio G, Müller KR (2002) Classifying single trial EEG: towards brain computer interfacing. In: Diettrich TG, Becker S, Ghahramani Z (eds) Advances in neural information processing systems 14. MIT Press, Cambridge, pp 157–164

Millán J del R, Mourino J (2003) Asynchronous BCI and local neural classifiers: an overview of the adaptive brain interface project. IEEE Trans Neural Syst Rehabil Eng 11(2):159–161CrossRef

Duda O, Hart PE, Stork DG (2001) Pattern classification, 2nd edn. Wiley Interscience, New YorkMATH

Friedman JH (1989) Regularized discriminant analysis. J Am Stat Assoc 84(405):165–175CrossRef

Garrett D, Peterson DA, Anderson CW, Thaut MH (2003) Comparison of linear, nonlinear, and feature selection methods for EEG signal classification. IEEE Trans Neural Syst Rehabil Eng 11(2):141–144CrossRef

Guger C, Schlögl A, Neuper C, Walterspacher C, Strein D, Pfurtscheller T, Pfurtscheller G (2001) Rapid prototyping of an EEG-based brain–computer interface (BCI). IEEE Trans Neural Syst Rehabil Eng 9:49–58CrossRef

Haselsteiner E, Pfurtscheller G (2000) Using time-dependent neural networks for EEG classification. IEEE Trans Rehabil Eng 8(4):457–463CrossRef

Krausz G, Scherer R, Korisek G, Pfurtscheller G (2003) Critical decision-speed and information transfer in the ‘graz brain–computer interface’. Appl Psychophysiol Biofeedback 28:233–240CrossRef

10.

Mika S, Raetsch G, Weston J, Schölkopf B, Müller KR (1999) Fisher discriminant analysis with kernels. In: Hu YH, Larsen J, Wilson E, Douglas S (eds) Neural Networks for Signal Processing IX. IEEE, Piscataway, pp 41–48

11.

Müller KR, Anderson CW, Birch GE (2003) Linear and non-linear methods for brain–computer interfaces. IEEE Trans Neural Syst Rehabil Eng 11:165–169CrossRef

12.

Neuper C, Schlögl A, Pfurtscheller G (2000) Enhancement of left-right sensorimotor EEG differences during feedback-regulated motor imagery. J Clin Neurophysiol 16:373–382CrossRef

13.

Neuper C, Müller GR, Kübler A, Birbaumer N, Pfurtscheller G (2003) Clinical application of an EEG-based brain–computer interface: a case study in a patient with severe motor impairment. Clin Neurophysiol 114(3):399–409CrossRef

14.

Obermaier B, Guger C, Neuper C, Pfurtscheller G (2001) Hidden markov models for online classification of single trial eeg data. Pattern Recognit Lett 22:1299–1309MATHCrossRef

15.

Obermaier B, Müller G, Pfurtscheller G (2003) ‘Virtual keyboard’ controlled by spontaneous EEG activity. IEEE Trans Neural Syst Rehabil Eng 11(4):422–426CrossRef

16.

Pfurtscheller G, Neuper C (1997) Motor imagery activates primary sensorimotor area in humans. Neurosci Lett 239:65–68CrossRef

17.

Pfurtscheller G, Neuper C (2001) Motor imagery and direct brain–computer communications. Proc IEEE 89:1123–1134CrossRef

18.

Pfurtscheller G, Neuper C, Flotzinger D, Pregenzer M (1997) EEG-based discrimination between imagination of right and left hand movement. Electroencephalogr Clin Neurophysiol 103:642–651CrossRef

19.

Pfurtscheller G, Neuper C, Schlögl A, Luger K (1998) Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parameters. IEEE Trans Rehabil Eng 6(3):316–325CrossRef

20.

Pfurtscheller G, Neuper C, Guger C, Harkam W, Ramoser H, Schlögl A, Obermaier B, Pregenzer M (2000) Current trends in graz brain–computer interface (BCI) research. IEEE Trans Rehabil Eng 8:216–219CrossRef

21.

Pfurtscheller G, Neuper C, Müller G, Obermaier B, Krausz G, Schlögl A, Scherer R, Graimann B, Keinrath C, Skliris D, Woertz M, Supp G, Schrank C (2003) Graz-BCI: state of the art and clinical applications. IEEE Trans Neural Syst Rehabil Eng 11:177–180CrossRef

22.

Scherer R, Müller-Putz G, Neuper C, Graimann B, Pfurtscheller G (2004) An asynchronously controlled EEG-based virtual keyboard: improvement of the spelling rate. IEEE Trans Biomed Eng 51(6):979–984CrossRef

23.

Schlögl A (2000) The electroencephalogram and the adaptive autoregressive model: theory and applications. Shaker Verlag, Aachen

24.

Schlögl A (2005) The biosig project. 2003–2004. http://www.biosig.sf.net/

25.

Schlögl A, Flotzinger D, Pfurtscheller G (1997) Adaptive autoregressive modeling used for single-trial EEG classification. Biomed Tech 42:162–167CrossRef

26.

Wolpaw JR, Birbaumer N, McFarland DJ, Pfurtscheller G, Vaughan TM (2002) Brain–computer interfaces for communication and control. Clin Neurophysiol 113:767–791CrossRef

Titel: Study of discriminant analysis applied to motor imagery bipolar data
Publikationsdatum: 01.01.2007
Erschienen in: Medical & Biological Engineering & Computing / Ausgabe 1/2007
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI: https://doi.org/10.1007/s11517-006-0122-5

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