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Research Article

Epileptic seizure anticipation and localisation of epileptogenic region using EEG signals

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Pages 203-216 | Received 22 Feb 2017, Accepted 04 Apr 2018, Published online: 25 May 2018

References

  • Teplan M. Fundamentals of EEG Measurement. Vol. 2, Section 2, Measurement Science Review. Berlin, Germany: Walter de Gruyter GmbH; 2002. p. 1–11.
  • Papadopoulou M, Vnock K, Boon P, et al. “Mapping the epileptic brain with EEG dynamical connectivity: Established methods and novel approaches”, European. Eur Phys Plus 2012;127:1–13.
  • Menon V, Crottaz Herbette S. Combined EEG and fMRI studies of human brain function. Int Rev Neurobiol. 2005;66:291–321.
  • Zhang Z, Parhi KK. Low complexity seizure prediction from iEEG/sEEG using spectral power and ratios of spectral power. IEEE Trans Biomed Circuits Syst. 2015;8:10–25.
  • Puthusserypady S, Ratnarajah T. Robust adaptive techniques for minimization of EOG artefacts from EEG signals. J. Signal Process. 2006;86:2351–2363.
  • Gao T, Yang Y, Sun J, et al. Automatic removal of various artefacts from EEG signals using combined methods. J Clin Neurophysiol. 2010;27:312–320.
  • Delmore A, Sejnowski T, Makeig S. Enhanced detection of artefacts in EEG data using higher order statistics and independent component analysis. J Neuroimage 2007;34:1443–1449.
  • Vavadi H, Ayatollahi A, Mirzaei A. A wavelet approximate entropy method for epileptic activity detection from EEG and its sub bands. J Biomed Eng Sci. 2010;3:1182–1189.
  • Dollahpour A, Jalilifar M. Seizure prediction methods: a review of the current predicting techniques. Biomed Pharmacol J. 2014;7:153–162.
  • Alotaiby TN, Alshebeili SA, Alshawi T, et al. EEG seizure detection and prediction algorithms: a survey. EURASIP J Adv Signal Process. 2014;183:1–21.
  • Park Y, Luo L, Parhi KK, et al. Seizure prediction with spectral power of EEG using cost sensitive support vector machine. J Epilepsia. 2011;52:1761–1770.
  • Haddad T, Hamida NB, Talbi L, et al. Temporal epilepsy seizure monitoring and prediction using cross-correlation and chaos theory. Healthcare Technol Lett. 2014;1:45–50.
  • Gajic D, Djurovic Z, Di Gennaro S, et al. Classification of EEG signals for detection of epileptic seizures based on wavelets and statistical pattern recognition. Biomed Eng Appl Basis Commun. 2014;26:1–13.
  • Physionet_chbmit/physionet.org/physiobank.
  • Le. Van. Quyen M, Martinerie J, Navarro V, et al. Anticipation of epileptic seizure from standard EEG recordings. Lancet Neurol. 2001;357:183–188.
  • Goldberger AL, Amaral LAN, Glass L, et al. Physiobank, PhysioToolkit and Physionet: components of new research resource for complex physiological signals. Circulation. 2000;101:e215–e220.
  • Hamaneh MB, Chitravas N, Kaiboriboon K, et al. Automated removal of EKG artefacts from EEG data using independent component analysis and continuous wavelet transformation. IEEE Trans Biomed Eng. 2014;61:1634–1641.
  • Jin W, Jiacai Z, Li Y. An automated detection and correction method of EOG artifacts in EEG-based BCI. Proceedings of ICME International Conference on Complex Medical Engineering; 2009 Apr 9–11; Tempe, AZ. IEEE; 2009. p. 1–5.
  • Mcsharry PE, Smith LA, Tarassenko L. Comparison of predictability of epileptic Seizures by a linear and nonlinear method. IEEE Trans Biomed Eng. 2003;50:628–633.
  • Dorai A, Ponnambalam K. Automated epileptic seizure onset detection. Proceedings of International Conference on Autonomous and Intelligent Systems; 2010 Jun 21–23; Povoa de Varzim, Portugal. IEEE; 2010. p. 1–4.
  • Karmuri B, Vlachos I, Liu R, et al. Classification of pre-ictal and inter-ictal period based on EEG frequency parameters in epilepsy. Proceedings of 32nd International Conference on 32nd Southern Biomedical Engineering Conference (SBEC); 2016 Mar 11–13; Shreveport, LA. IEEE; 2016. p. 9–10.
  • Peng H, Long F, Ding C. Feature selection based on mutual information: criteria of maximum dependency, maximum relevance and minimum redundancy. IEEE Trans Pattern Anal Machine Intell. 2005;27:1226–1238.
  • Giannakakis G, Sakkalis V, Pediadities M. Method of seizure detection and prediction: an overview. J Neuromethods 2014;91:131–157.
  • Rojas R, Neural Network: a systematic introduction. Berlin: Springer-Verlag; 1996.

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