Title

Design of Wearable EEG Device for Seizures Early Detection

Journal title

International Journal of Electronics and Telecommunications

Yearbook

2021

Volume

vol. 67

Issue

No 2

Affiliation

Gaidar, Viktoriia : Taras Shevchenko National University of Kyiv, Ukraine ; Sudakov, Oleksandr : Taras Shevchenko National University of Kyiv, Ukraine

Authors

Gaidar, Viktoriia ; Sudakov, Oleksandr

Keywords

circuit design ; statistical sampling ; Hilbert-Huang transform ; feature selection

Divisions of PAS

Nauki Techniczne

Coverage

187-192

Publisher

Polish Academy of Sciences Committee of Electronics and Telecommunications

Bibliography

[1] Stacey, William C. ”Seizure Prediction Is Possible–Now Let’s Make It Practical.”, EBioMedicine, No. 27,2018,pp. 3-4.
[2] Federico, P., Abbott, D. F., Briellmann, R. S., Harvey, A. S. ”Functional MRI of the pre-ictal state”, Brain vol. 128, 2005, pp. 1811 - 1817.
[3] Smith S. J. M. ”EEG in the diagnosis, classification, and management of patients with epilepsy”, Journal of Neurology, Neurosurgery & Psychiatry. no. 76, 2005, pp. 112 - 117.
[4] V. Mihajlovi´c, B. Grundlehner, R. Vullers and J. Penders ”Wearable, Wireless EEG Solutions in Daily Life Applications: What are we Missing?”, Journal of Biomedical and Health Informatics vol. 19, no. 1, 2015, pp. 6-21.
[5] Malmivuo, Plonsey, Jakko Malmivuo, Plonsey Robert, ”Bioelectromagnetism: principles and applications of bioelectric and biomagnetic fields”, Oxford University Press, USA, 1995.
[6] Sudakov O., Kriukova G.,Natarov R. et al., ”Distributed System for Sampling and Analysis of Electroencephalograms”, in Proc. 2017 IEEE 9th International conference IDAACS 2017, Bucharest, 21-23 September 2017, pp. 306-310
[7] Direito B. et al. ”A realistic seizure prediction study based on multiclass SVM.” International Journal of Neural Systems, vol. 27, no. 3 , 2017.
[8] Federico P., Abbott, D. F., Briellmann, R. S., Harvey, A. S. ”Functional MRI of the pre-ictal state”, Brain, vol. 128., 2005, pp. 1811-1817
[9] Obermaier B. et al. ”Hidden Markov models for online classification of single trial EEG data.”, Pattern recognition letters, No. 12, 2001, pp.1299-1309.
[10] Zaena J.V. ”Adaptive tracking of EEG oscilattiond”, Neuroscience Methods, 2010.
[11] Dilran S.W., Lakshitha P.W, Sudaraka M. ”Seizure prediction using Hilbert-Huang transform on field programmable gate array”, IEEE Global conference on signal and information processing, Orlando, 2015.
[12] Jin-De Zhu, Chin-Feng L. et al. ”Analysis of spike waves in epilepsy using Hilbert-Huang transform”, Journal of Medical Systems, 2015.
[13] Kshischang F. R.”The Hilbert transform”, University of Toronto, 2006.
[14] Herrmann C.S., Grigutsch M., Bush N.A. ”EEG oscillations and wavelet analysis”, Event-related potencial,2005.
[15] Shaiens J.”A tutorial on Principal Analysis”, arXiv preprint, Cornell University, 2014.

Date

2021.05.25

Type

Article

Identifier

DOI: 10.24425/ijet.2021.135963

Source

International Journal of Electronics and Telecommunications; 2021; vol. 67; No 2; 187-192