Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Electroencephalogram (EEG) and Its Background Read chapter Read first chapter

2016 | OriginalPaper | Chapter

4. Random Sampling in the Detection of Epileptic EEG Signals

Authors : Siuly Siuly, Yan Li, Yanchun Zhang

Published in: EEG Signal Analysis and Classification

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The detection of epileptic EEG signals is a challenging task due to bulky size and nonstationary nature of the data. From a pattern recognition point of view, one key problem is how to represent the large amount of recorded EEG signals for further analysis such as classification.This chapter introduces a new classification algorithm combining a simple random sampling (SRS) technique and a least square support vector machine (LS-SVM) to identify epilptic seizure from two-class EEG signals.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Objectives and Structures of the Book
next chapter A Novel Clustering Technique for the Detection of Epileptic Seizures
Literature
Andrzejak, R.G., Lehnertz, K., Mormann, F., Rieke, C., David, P., and Elger, C. E.(2001) ‘Indication of Non Linear Deterministic and Finite-Dimensional Structures in Time Series of Brain Electrical Activity: Dependence on Recording Region and Brain State’, Physical Review E, Vol. 64, 061907.
Chandaka, S., Chatterjee, A. and Munshi, S. (2009) ‘Cross-correlation aided support vector machine classifier for classification of EEG signals’, Expert System with Applications, Vol. 36, pp. 1329–1336.
Cochran, W. G. (1977) Sampling Techniques, Wiley, New York.
De Veaux, R.D., Velleman, P.F., and Bock, D.E., (2008) Intro Stats, 3rd ed., Pearson Addison Wesley, Boston, 2008.
Fletcher, R. (1987) Practical methods of optimization, Chichester and New York, John Wiley & Sons.
Guo, X.C., Liang, Y.C., Wu, C.G. and Wang C.Y. (2006) ‘PSO-based hyper-parameters selection for LS-SVM classifiers’, ICONIP 2006, Part II, LNCS 4233, pp. 1138–1147.
Hanbay, D. (2009) ‘An expert system based on least square support vector machines for diagnosis of the valvular heart disease’, Expert System with Applications, Vol. 36, pp. 4232–4238.
Iasemidis, L.D., Shiau, D.S., Chaovalitwongse, W., Sackellares, J.C., Pardalos, P.M., Principe, J.C., Carney, P.R., Prasad, A., Veeramani, B., and Tsakalis, K. (2003) ‘Adaptive Epileptic Seizure Prediction System’, IEEE Transactions on Biomedical Engineering, Vol. 50, n. 5, pp. 616–627.
Islam, M. N. (2004) An introduction to statistics and probability, 3rd ed., Mullick & brothers, Dhaka New Market, Dhaka-1205, pp. 160–161.
Islam, M. N. (2007) An introduction to sampling methods: theory and applications, revised ed., Book World, Dhaka New Market & P.K. Roy road, Bangla Bazar, Dhaka-1100.
Reynolds, E.H. (2000) ‘The ILAE2/IBE1/WHO3 global campaign against epilepsy: Bringing epilepsy “out of the shadows”’, Epilepsy & Behaviour, Vol. 1, S3–S8.
Siuly, and Li, Y. (2014) ‘A novel statistical algorithm for multiclass EEG signal classification’, Engineering Applications of Artificial Intelligence, Vol. 34, pp. 154–167.
Siuly, Y. Li, and P. Wen (2009) ‘Classification of EEG signals using Sampling Techniques and Least Square Support Vector Machines’, The proceedings of Fourth International Conference on Rough Sets and Knowledge Technology (RSKT 2009), LNCS 5589 (2009), pp. 375–382.
Siuly, Y. Li, and P. Wen, (2011) ‘EEG signal classification based on simple random sampling technique with least square support vector machines’, International journal of Biomedical Engineering and Technology, Vol. 7, no. 4, pp. 390–409.
Suresh, K., Thomas, S. V., and Suresh, G. (2011) ‘Design, data analysis and sampling techniques for clinical research’, Ann Indian Acad Neurol., Vol. 14, no. 4. pp. 287–290.
Suykens, J.A.K., Gestel, T.V., Brabanter, J.D., Moor, B.D. and Vandewalle, J. (2002) Least Square Support Vector Machine, World Scientific, Singapore.
Suykens, J.A.K., and Vandewalle, J. (1999) ‘Least Square Support Vector Machine classifier’, Neural Processing Letters, Vol. 9, no. 3, 293–300.
Ubeyli, E.D. (2010) ‘Least Square Support Vector Machine Employing Model-Based Methods coefficients for Analysis of EEG Signals’, Expert System with Applications. 37 233–239.
Ubeyli, E.D. (2008) ‘Wavelet/mixture of experts network structure for EEG signals classification’ Expert System with Applications Vol. 34, pp. 1954–1962.
Vapnik, V. (1995) The nature of statistical learning theory, Springer-Verlag, New York.
Metadata
Title
Random Sampling in the Detection of Epileptic EEG Signals
Authors
Siuly Siuly
Yan Li
Yanchun Zhang
Copyright Year
2016
Book
EEG Signal Analysis and Classification

Print ISBN: 978-3-319-47652-0

Electronic ISBN: 978-3-319-47653-7

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-47653-7_4