Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification

Computational Intelligence and Neuroscience
Qingshan SheZhizeng Luo

Abstract

Motor imagery electroencephalography is widely used in the brain-computer interface systems. Due to inherent characteristics of electroencephalography signals, accurate and real-time multiclass classification is always challenging. In order to solve this problem, a multiclass posterior probability solution for twin SVM is proposed by the ranking continuous output and pairwise coupling in this paper. First, two-class posterior probability model is constructed to approximate the posterior probability by the ranking continuous output techniques and Platt's estimating method. Secondly, a solution of multiclass probabilistic outputs for twin SVM is provided by combining every pair of class probabilities according to the method of pairwise coupling. Finally, the proposed method is compared with multiclass SVM and twin SVM via voting, and multiclass posterior probability SVM using different coupling approaches. The efficacy on the classification accuracy and time complexity of the proposed method has been demonstrated by both the UCI benchmark datasets and real world EEG data from BCI Competition IV Dataset 2a, respectively.

References

Nov 27, 1999·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·G Pfurtscheller, F H Lopes da Silva
Jun 11, 2004·IEEE Transactions on Bio-medical Engineering·Guido DornhegeKlaus-Robert Müller
May 2, 2007·IEEE Transactions on Pattern Analysis and Machine Intelligence· JayadevaSuresh Chandra
Feb 14, 2008·IEEE Transactions on Neural Networks·Mehmet GonenEthem Alpaydin
Jan 11, 2011·IEEE Transactions on Neural Networks·Haihong ZhangChuanchu Wang
Aug 6, 2011·Journal of Neural Engineering·N JradA Rakotomamonjy
Apr 6, 2012·Frontiers in Neuroscience·Kai Keng AngHaihong Zhang
Jun 13, 2012·Computational Intelligence and Neuroscience·Meng Hu, Hualou Liang

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Citations

Apr 20, 2018·Behavioural Neurology·Paul BoschSebastián Maldonado
May 3, 2019·Computational Intelligence and Neuroscience·Mingai LiLijuan Duan
Jan 19, 2021·Technology and Health Care : Official Journal of the European Society for Engineering and Medicine·Ming-Ai LiLi-Na Wei

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Methods Mentioned

BETA
feature extraction

Software Mentioned

MATLAB
HT
PPTSVM
TSVM
MATLAB Bioinformatics

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