Classification of Multichannel EEG Signal by Linear Discriminant Analysis-Reference-Cited by-同舟云学术

Classification of Multichannel EEG Signal by Linear Discriminant Analysis

Published:2015 Issue: Volume: Page:279-282
ISSN:2194-5357
Container-title:Progress in Systems Engineering
language:
Short-container-title:

Author:

Hasan Mohammad Rubaiyat,Ibrahimy Muhammad Ibn,Motakabber S. M. A.,Shahid Shahjahan

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-08422-0_42

Reference8 articles.

1. Ahsan, M.R., Ibrahimy, M.I., Khalifa, O.O.: EMG signal classification for human computer interaction: A review. Eur. J. Sci. Res., 3, 480–501 (2009)

2. Shahid, S., Prasad, G.: Bispectrum based feature extraction technique for devising a practical Brain-Computer Interface. J. Neural Eng., 8(2), Article Number: 025014 (2011)

3. Wolpaw, J.R., Birbaumer, N., McFarland, D.J, Pfurtscheller, G., Vaughan, T.M.: Brain-computer interfaces for communication and control. Clin Neurophysiol, 113(6):767–791, (2002)

4. Brunner, C., Leeb, R., Mü,ller-Putz, G., Schló,gl, A., Pfurtscheller, G.: BCI Competition 2008, Graz Data Set a, Laboratory of Brain-Computer Interfaces, Inst. for Knowledge Discovery, Graz Univ. of Technology (2008)

5. Rathinave, S., Arumugam, S.: Full Shoe Print Recognition based on Pass Band DCT and Partial Shoe Print Identification using Overlapped Block Method for Degraded Images. International Journal of Computer Applications (0975 – 8887), vol. 26 – No.8 (2011)

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