Classification of mental tasks using stockwell transform
作者： M. Hariharan , Vikneswaran Vijean , R. Sindhu , P. Divakar , A. Saidatul
DOI: 10.1016/J.COMPELECENG.2014.01.010
关键词:
摘要: In recent years, various physiological signal based rehabilitation systems have been developed for the physically disabled in which electroencephalographic (EEG) is one among them. The efficiency of such a system depends upon processing and classification algorithms. order to develop an EEG or assistive system, it necessary effective algorithm. This paper proposes Stockwell transform (ST) analysis dynamics during different mental tasks. signals from Keirn Aunon database were used this study. Three classifiers employed as k-means nearest neighborhood (kNN), linear discriminant (LDA) support vector machine (SVM) test strength proposed features. Ten-fold cross validation method was demonstrate consistency results. Using method, average accuracy ranging between 84.72% 98.95% achieved multi-class problems (five tasks).
sci-hub.se 参考文章(15)
Peng Xu, Ping Yang, Xu Lei, Dezhong Yao, An Enhanced Probabilistic LDA for Multi-Class Brain Computer Interface PLoS ONE. ,vol. 6, pp. e14634- ,(2011) , 10.1371/JOURNAL.PONE.0014634
NAN-YING LIANG, PARAMASIVAN SARATCHANDRAN, GUANG-BIN HUANG, NARASIMHAN SUNDARARAJAN, Classification of mental tasks from EEG signals using extreme learning machine. International Journal of Neural Systems. ,vol. 16, pp. 29- 38 ,(2006) , 10.1142/S0129065706000482
M Satiyan, M Hariharan, R Nagarajan, Comparison of performance using Daubechies Wavelet family for facial expression recognition international colloquium on signal processing and its applications. pp. 1- 5 ,(2010) , 10.1109/CSPA.2010.5545262
Murat Uyar, Selcuk Yildirim, Muhsin Tunay Gencoglu, An expert system based on S-transform and neural network for automatic classification of power quality disturbances Expert Systems With Applications. ,vol. 36, pp. 5962- 5975 ,(2009) , 10.1016/J.ESWA.2008.07.030
Vikneswaran Vijean, M. Hariharan, A. Saidatul, Sazali Yaacob, Mental tasks classifications using S-transform for BCI applications 2011 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT). pp. 69- 73 ,(2011) , 10.1109/STUDENT.2011.6089327
M. Hariharan, Lim Sin Chee, Ooi Chia Ai, Sazali Yaacob, Classification of Speech Dysfluencies Using LPC Based Parameterization Techniques Journal of Medical Systems. ,vol. 36, pp. 1821- 1830 ,(2012) , 10.1007/S10916-010-9641-6
Lim Sin Chee, Ooi Chia Ai, M. Hariharan, Sazali Yaacob, MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA student conference on research and development. pp. 146- 149 ,(2009) , 10.1109/SCORED.2009.5443210
Anjum Gupta, Shibin Parameswaran, Cheng-Han Lee, Classification of electroencephalography (EEG) signals for different mental activities using Kullback Leibler (KL) divergence international conference on acoustics, speech, and signal processing. pp. 1697- 1700 ,(2009) , 10.1109/ICASSP.2009.4959929
D. Borras, M. Castilla, N. Moreno, J.C. Montano, Wavelet and neural structure: a new tool for diagnostic of power system disturbances IEEE Transactions on Industry Applications. ,vol. 37, pp. 184- 190 ,(2001) , 10.1109/28.903145
Kok-Kiong Poh, Pina Marziliano, Analysis of Neonatal EEG Signals using Stockwell Transform international conference of the ieee engineering in medicine and biology society. ,vol. 2007, pp. 594- 597 ,(2007) , 10.1109/IEMBS.2007.4352360