Sharp Filters To Extract Absence Seizures EEG Signals
DOI:
https://doi.org/10.26438/ijcse/v6si10.3741Keywords:
Electroencephalogram, absence seizure, petit mal seizure, linear phase, FIR filtersAbstract
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
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.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
