Open Access   Article

Sharp Filters To Extract Absence Seizures EEG Signals

Niyan Marchon1 , Gourish Naik2

Section:Research Paper, Product Type: Journal Paper
Volume-06 , Issue-10 , Page no. 37-41, Nov-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i10.3741

Online published on Nov 30, 2018

Copyright © Niyan Marchon, Gourish Naik . 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.

View this paper at   Google Scholar | DPI Digital Library

Citation

IEEE Style Citation: Niyan Marchon, Gourish Naik, “Sharp Filters To Extract Absence Seizures EEG Signals”, International Journal of Computer Sciences and Engineering, Vol.06, Issue.10, pp.37-41, 2018.

MLA Style Citation: Niyan Marchon, Gourish Naik "Sharp Filters To Extract Absence Seizures EEG Signals." International Journal of Computer Sciences and Engineering 06.10 (2018): 37-41.

APA Style Citation: Niyan Marchon, Gourish Naik, (2018). Sharp Filters To Extract Absence Seizures EEG Signals. International Journal of Computer Sciences and Engineering, 06(10), 37-41.

           

Abstract

Reliable and accurate analysis of the electroencephalogram (EEG) waveforms can be very important to the current medical research and clinical fraternity to analyze the EEG signals and accordingly treat the subjects for any neurological abnormalities such as seizures etc. This paper introduces the types of EEG and pin points the absence seizure (or petit mal seizures) among children. The paper analyses the use of a novel method of using a sharp finite impulse response (FIR) filter that can extract time domain EEG signals of patients who are inflicted with absence seizures. The sharp FIR filter comfortably extracts the noise free delta EEG frequency of 3.04Hz for a cutoff of 3Hz. The filter displays flat passband and stopband attenuation, and also possesses a linear phase response. A transition width of 1 Hz is achieved using our sharp filter

Key-Words / Index Term

Electroencephalogram, absence seizure, petit mal seizure, linear phase, FIR filters

References

[1] D.P Subha, P.K Joseph, R. Acharya, C.M. Lim, “EEG signal analysis: a survey”, Journal of Medical Systems, Vol. 34, Issue. 2, pp.195-212, 2010.
[2] P. Vrielynck, “Current and emerging treatments for absence seizures in young patients”, Neuropsychiatric disease and treatment, Vol. 9, pp. 963, 2013.
[3] G. L. Holmes, M. McKeever, M. Adamson, M, “Absence seizures in children: clinical and electroencephalographic features, Annals of Neurology: Official Journal of the American Neurological Association and the Child Neurology Society, Vol. 21, Issue. 3, pp.268-273 , 1987.
[4] D.F. Silva, M.M Lima, R. Anghinah, E. Zanoteli, J.G.C. Lima, “Atypical EEG pattern in children with absence seizures”, Arquivos de neuro-psiquiatria, Vol. 53, Issue. 2, pp. 258-261, 1995.
[5] J.R. Tenney, T.A. Glauser, “The current state of absence epilepsy: can we have your attention?”, Epilepsy currents, Vol. 13, Issue. 3, pp.135-140, 2013.
[6] D.M Kaufman, H.L Geyer, M..J. Milstein, “Kaufman`s Clinical Neurology for Psychiatrists” E-Book. Elsevier Health Sciences, 8th Edition, pp 197- 233.
[7] E. Posner, “Absence seizures in children”. BMJ clinical evidence, 2013.
[8] J. Kaur, A. Kaur, “A review on analysis of EEG signals”. In Computer Engineering and Applications (ICACEA), 2015 IEEE International Conference on Advances, pp. 957-960, 2015
[9] N. Marchon, G. Naik, K. R Pai, “Linear Phase Sharp Transition BPF to Detect Noninvasive Maternal and Fetal Heart Rate” Journal of healthcare engineering, 2018.
[10] N. Marchon, G. Naik, K. R. Pai, “Monitoring of fetal heart rate using sharp transition FIR filter” Biomedical Signal Processing and Control, Vol. 44, pp. 191-199 , 2018.
[11] E. Kabir, Y. Zhang, “Epileptic seizure detection from EEG signals using logistic model trees”. Brain informatics, Vol. 3, Issue 2, pp. 93-100, 2016.
[12] P.R. Carney, S. Myers, J.D Geyer, “Seizure prediction: methods”. Epilepsy & behavior, Vol. 22, pp.S94-S101, 2011.
[13] J.G. Proakis, D.G Manolakis, “Digital signal processing-principles, algorithms and applications”, pp. 621-623, 1992.
[14] E.C. Ifeachor, B.W. Jervis, “Digital signal processing: a practical approach”. Pearson Education, pp. 367-379, 2002.