Classification of left/right hand movement from EEG signal by intelligent algorithms

Muhammad Zeeshan Baig, Ehtasham Javed, Yasar Ayaz, Waseem Afzal, Syed Omer Gillani, Muhammad Naveed, Mohsin Jamil

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

8 Citations (Scopus)

Abstract

Brain Computer interface (BCI) shown enormous ability to advance the human way of life. Furthermore its application is also targeting the disabled ones. In this research, we have implemented a new approach to classify EEG signals more efficiently. The dataset used for this purpose is from BCI competition-II 2003 named Graz database. Initial processing of the EEG signals has been carried out on 2 electrodes named C3 & C4; after that the bi-orthogonal wavelet coefficients, Welench Power Spectral Density estimates and the average power were used as a feature set for classification. We have given a relative study of currently used classification algorithms along with a new approach for classification i.e. Self-organizing maps (SOM) based neural network technique. It is used to classify the feature vector obtain from the EEG dataset, into their corresponding classes belong to left/right hand movements. Algorithms have been implemented on both unprocessed features and processed reduced feature sets. Principal component Analysis (PCA) has been used for feature reduction. Measured data revealed that the maximum classification accuracy of 84.17% on PCA implemented reduce feature set has been achieved using SOM based classifier. Furthermore, the classification accuracy has been increased about 2% by simply using bi-orthogonal Wavelet transform rather than Daubechies wavelet transform.

Original languageEnglish
Title of host publicationISCAIE 2014 - 2014 IEEE Symposium on Computer Applications and Industrial Electronics
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages163-168
Number of pages6
ISBN (Electronic)9781479943517
DOIs
Publication statusPublished - 14 Jan 2015
Externally publishedYes
Event2014 IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2014 - Penang, Malaysia
Duration: 7 Apr 20148 Apr 2014

Other

Other2014 IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2014
CountryMalaysia
CityPenang
Period7/04/148/04/14

Keywords

  • BCI
  • Bi-orthogonal
  • EEG
  • SOM
  • Wavelet

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    Baig, M. Z., Javed, E., Ayaz, Y., Afzal, W., Gillani, S. O., Naveed, M., & Jamil, M. (2015). Classification of left/right hand movement from EEG signal by intelligent algorithms. In ISCAIE 2014 - 2014 IEEE Symposium on Computer Applications and Industrial Electronics (pp. 163-168). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ISCAIE.2014.7010230