Techniques of EMG signal analysis: detection, processing, classification and applications, Biological Procedures Online, vol.13, issue.2, pp.11-35, 2006. ,
DOI : 10.1123/jab.13.2.135
Identification of EMG signals using discriminant analysis and SVM classifier, Expert Systems with Applications, vol.39, issue.1, pp.44-47, 2012. ,
DOI : 10.1016/j.eswa.2011.06.043
Support Vector Machine-Based Classification Scheme for Myoelectric Control Applied to Upper Limb, IEEE Transactions on Biomedical Engineering, vol.55, issue.8, pp.1956-1965, 2008. ,
DOI : 10.1109/TBME.2008.919734
URL : http://cswww.essex.ac.uk/staff/hhu/Papers/IEEE-TBME-V55-N8-2008.pdf
Twin SVM for Gesture Classification Using the Surface Electromyogram, IEEE Transactions on Information Technology in Biomedicine, vol.14, issue.2, pp.301-308, 2010. ,
DOI : 10.1109/TITB.2009.2037752
The recognition of multi-finger prehensile postures using LDA, Biomedical Signal Processing and Control, vol.8, issue.6, pp.2013-706 ,
DOI : 10.1016/j.bspc.2013.06.006
Relationship between grasping force and features of single-channel intramuscular EMG signals, Journal of Neuroscience Methods, vol.185, issue.1, pp.143-150, 2009. ,
DOI : 10.1016/j.jneumeth.2009.09.006
Surface electromyography for assessing triceps brachii muscle activities: A literature review, Biocybernetics and Biomedical Engineering, vol.33, issue.4, pp.187-195, 2013. ,
DOI : 10.1016/j.bbe.2013.09.001
Metric learning for event-related potential component classification in EEG signals, Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), pp.2005-2009, 2014. ,
Multi-class Support Vector Machine (SVM) Classifiers -An Application in Hypothyroid Detection and Classification, Sixth conference on Bio-Inspired Computing: Theroies and applications, pp.351-356, 2011. ,