214
Views
9
CrossRef citations to date
0
Altmetric
Articles

An Efficient FPGA Realization of Seizure Detection from EEG Signal Using Wavelet Transform and Statistical Features

&

References

  • A. T. Tzallas, M. G. Tsipouras, and D. I. Fotiadis, “Epileptic seizure detection in EEGs using time-frequency analysis,” IEEE Trans. Inf. Technol. Biomed., Vol. 13, no. 5, pp. 703–10, Sep. 2009. doi: 10.1109/TITB.2009.2017939
  • Michael D. Hills, “The psychological and social impact of epilepsy,” Neurology Asia, Vol. 12, no. Supplement 1, pp. 10–12, 2007.
  • Adam Page, Chris Sagedy, Emily Smith, Nasrin Attaran, Tim Oates, and Tinoosh Mohsenin, “A flexible multichannel EEG feature extractor and classifier for seizure detection,” IEEE Trans. Circuits Systems II: Express Briefs, Vol. 62, no. 2, pp. 109–13, Feb. 2015. doi: 10.1109/TCSII.2014.2385211
  • Hao Qu and A. Jean Gotman, “Patient-specific algorithm for the detection of seizure onset in long-term EEG monitoring: Possible use as a warning device,” IEEE Trans. Biomed. Eng., Vol. 44, no. 2, pp. 115–122, Feb. 1997. doi: 10.1109/10.552241
  • N. Acir and C. Guzelis, “Automatic spike detection in EEG by a two-stage procedure based on support vector machines”, Comput. Biol. Med., Vol. 34, pp. 561–75, 2004. doi: 10.1016/j.compbiomed.2003.08.003
  • Carlos Guerrero-Mosquera and Angel Navia Vazquez, “New approach in features extraction for EEG signal detection,” in 31st Annual International Conference of the IEEE EMBS, Minneapolis, Minnesota, USA 14, Sep. 2–6, 2009.
  • R. Yadav, M. N. S. Swamy, and R. Agarwal, “Model Based Seizure Detection for Intracranial EEG Recordings,” IEEE Trans. Biomed. Eng., Vol. 59, no. 5, pp. 1419–28, May 2012. doi: 10.1109/TBME.2012.2188399
  • Osman Salem, Amal Naseem, and Ahmed Mehaoua, “Epileptic seizure detection from EEG signal using discrete wavelet transform and ant colony classifier”, in IEEE International Conference on Communications (ICC), Sydney, NSW, 2014, pp. 3529–34.
  • Chia-Ping Shen, Chih-Min Chan, Feng-Sheng Lin, and Ming-Jang Chiu, “ Epileptic seizure detection for multichannel EEG signals with support vector machines,” in 11th IEEE International Conference on Bioinformatics and Bioengineering, 2011.
  • C. Shahnaz, R. H. M. Rafi, S. A. Fattah, W. P. Zhu, and M. O. Ahmad, “Seizure detection exploiting EMD-wavelet analysis of EEG signals,” Circuits and Systems (ISCAS) 2015 IEEE International Symposium on, May 2015, pp. 57–60.
  • Bhagyeshwari D. Chalageri, R. Halima, and H. G. Nagendra, “Epileptic seizure detection using an algorithm based on fractal dimension,” Int. J. Eng. Res., Vol. 5, no. 1, pp. 26–29, Jan. 2016.
  • Sumit Soman and Jayadeva, “High performance EEG signal classification using classifiability and the twin SVM,” Appl. Soft Comput., Vol. 30, pp. 305–18, 2015. doi: 10.1016/j.asoc.2015.01.018
  • Jayadeva, Sumit Soman, and Suresh Chandra, “The twin SVM minimizes the total risk,” Pattern Recognition and Big Data, Chapter12, pp. 395–405, 2017.
  • Husain K. Bhaldar and V. K. Bairagi, “Hardware design of 2-D high speed DWT by using multiplierless 5/3 wavelet filters,” Int. J. Comput. Appl., Vol. 59, no. 17, pp. 42–46, Dec. 2012.
  • http://www.karunya.edu/research/EEGdatabase/public/viewall.php.
  • http://physionet.org/physiobank/database/chbmit.
  • V. Geethu and S. Santhosh Kumar, “Statistical analysis of wavelet transform based features for seizure detection from EEG signal,” Int. Res. J. Eng. Technol., Vol. 4, no. 06, pp. 1756–9, June 2017.
  • P. Bhuvaneswari and J. Satheesh Kumar, “Support vector machine technique for EEG signals,” Int. J. Comput. Appl., Vol. 63, no. 13, pp. 1–5, Feb.2013
  • Shereen Moataz Afifi, Hamid Gholam Hosseini, and Roopak Sinha, “Hardware implementations of SVM on FPGA: A State-of-the-art review of current practice,” Int. J. Innov. Sci. Eng. Technol., Vol. 2, no. 11, pp. 733–752, Nov. 2015.
  • K. P. Soman, K. I. Ramachandran, and N. G. Resmi, Insights into wavelets: From theory to practice. 3rd ed. New Delhi: Prentice Hall of India, Learning Private Limited, 2010, pp. 125–39.
  • Tom Fawcett, “An introduction to ROC analysis,” Pattern Recognit. Lett., Vol. 27, no. 8, pp. 861–74, Jun. 2006. doi:doi: 10.1016/j.patrec.2005.10.010

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.