@inproceedings{scholars9591,
          number = {1},
            note = {cited By 4; Conference of 5th International Conference on Fundamental and Applied Sciences, ICFAS 2018 ; Conference Date: 13 August 2018 Through 15 August 2018; Conference Code:142772},
             doi = {10.1088/1742-6596/1123/1/012004},
         journal = {Journal of Physics: Conference Series},
           title = {Enhancing EEG Signals in Brain Computer Interface Using Intrinsic Time-Scale Decomposition},
          volume = {1123},
       publisher = {Institute of Physics Publishing},
            year = {2018},
        keywords = {Biomedical signal processing; Electroencephalography; Electrophysiology; Extraction; Feature extraction; Neural networks, EEG signals; Feature extraction methods; Human brain; Intelligent method; Intrinsic time-scale decompositions; Motor imagery; Nonstationary, Brain computer interface},
        abstract = {A brain-computer interface (BCI) provides a link between the human brain and a computer. The EEG signal is nonlinear and non-stationary. Feature extraction is one of the most important steps in any BCI system; as such, enhancement to the existing methods has been incorporated in this work. For this, we propose a four-class movement imaginations of the right hand, left hand, both hands, and both feet, and develop feature extraction methods utilizing an intelligent method based on intrinsic time-scale decomposition (ITD) and Artificial neural networks (ANN). Based on the processed electroencephalography (EEG) data recorded from nine subjects, ITD accurately classified and discriminated the four classes of motor imagery; the average accuracy achieved is 92.20. {\^A}{\copyright} Published under licence by IOP Publishing Ltd.},
            issn = {17426588},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058226411&doi=10.1088\%2f1742-6596\%2f1123\%2f1\%2f012004&partnerID=40&md5=42c7312889a988b6171b96779a8bf557},
          author = {Abdalsalam Mohamed, E. and Zuki Yusoff, M. and Khalil Adam, I. and Ali Hamid, E. and Al-Shargie, F. and Muzammel, M.}
}