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The Scientific World Journal
Volume 2012 (2012), Article ID 478952, 5 pages
http://dx.doi.org/10.1100/2012/478952
Research Article

Analysis of EMG Signals in Aggressive and Normal Activities by Using Higher-Order Spectra

Department of Electrical and Electronics Engineering, Faculty of Architecture and Engineering, Batman University, 72060 Batman, Turkey

Received 2 September 2012; Accepted 12 October 2012

Academic Editors: T. Arendt and J. Benito-Leon

Copyright © 2012 Necmettin Sezgin. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

The following is the list of published articles that have cited the current article.

  • Mamun B. I. Reaz, Mohd Alauddin Bin Mohd Ali, Ashrif A. A. Bakar, Kalaivani Chellappan, and Tae. G. Chang, “Surface Electromyography Signal Processing and Classification Techniques,” Sensors, vol. 13, no. 9, pp. 12431–12466, 2013. View at Publisher · View at Google Scholar
  • Yiqi Zhou, Yanzhao Chen, Xiaohua Fan, and Xiangli Cheng, “Pretreatment and feature extraction of multi-channel sEMG signals for upper limb motion classification,” Journal of Computational Information Systems, vol. 10, no. 23, pp. 10013–10020, 2014. View at Publisher · View at Google Scholar
  • Eugenio Orosco, Pablo Diez, Eric Laciar, Vicente Mut, Carlos Soria, and Fernando di Sciascio, “On the use of high-order cumulant and bispectrum for muscular-activity detection,” Biomedical Signal Processing and Control, vol. 18, pp. 325–333, 2015. View at Publisher · View at Google Scholar
  • Ömer Faruk Ertuğrul, Yılmaz Kaya, and Ramazan Tekin, “A novel approach for SEMG signal classification with adaptive local binary patterns,” Medical & Biological Engineering & Computing, vol. 54, no. 7, pp. 1137–1146, 2015. View at Publisher · View at Google Scholar
  • Parisa Mirzaei, Ghasem Azemi, Natia Japaridze, and Boualem Boashash, “Surrogate data test for nonlinearity of EEG signals: A newborn EEG burst suppression case study,” Digital Signal Processing, 2017. View at Publisher · View at Google Scholar
  • Eugenio C. Orosco, and Fernando di Sciascio, “Muscular synergy classification and myoelectric control using high-order cross-cumulants,” Neural Computing and Applications, 2017. View at Publisher · View at Google Scholar
  • Necmettin Sezgin, “A new hand finger movements’ classification system based on bicoherence analysis of two-channel surface EMG signals,” Neural Computing and Applications, 2017. View at Publisher · View at Google Scholar