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Research Article
A Comparison of Signal Processing methods with MATLAB on real time EEG data
Vinni Sharma1
Dr. Shanti Rathore2
1Research Scholar, Dr. C. V. Raman University, Bilaspur & Associate Professor, BIT, Durg, Chhattisgarh, India. 2 Professor, Dr. C. V. Raman University, Bilaspur, Chhattisgarh, India.
Published Online: May-June 2022
Pages: 590-597
Cite this article
No DOIReferences
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[6]. V, B., A, K., M, J. & N.P.G., S. (2018). Music induced emotion using wavelet packet decomposition—An EEG study. Biomedical Signal
Processing and Control, 42:115–128. doi: 10.1016/j.bspc.2018.01.015
[7]. Eliades, C. Papadopoulos, H.. (2018). Detecting seizures in EEG recordings using conformal prediction. Proceedings of the Seventh
Workshop on Conformal and Probabilistic Prediction and Applications in Proceedings of Machine Learning Research 91:171-186
[8]. Hindarto h. et al 2018 IOP Conf. Ser.: Mater. Sci. Eng. 434 012261
[9]. Tsipouras, M.G. Spectral information of EEG signals with respect to epilepsy classification. EURASIP J. Adv. Signal Process. 2019, 10
(2019). https://doi.org/10.1186/s13634-019-0606-8
[10]. Alyasseri Z. A. A. et. al. 2019. The Effects of EEG Feature Extraction Using Multi-Wavelet Decomposition for Mental Tasks
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[11]. Albaqami H., Hassan G.M., Subasi A., Datta A.,Automatic detection of abnormal EEG signals using wavelet feature extraction
and gradient boosting decision tree (2020) Biomedical Signal Processing and Control, 70 , art. no. 102957
[12]. Zamorano, M., Gómez Garcia, M. J., & Castejón, C. (2021). Selection of a mother wavelet as identification pattern for the detection of
cracks in shafts. Journal of Vibration and Control. https://doi.org/10.1177/10775463211026033
[13]. Osadchiy, A.; Kamenev, A.; Saharov, V.; Chernyi, S. Signal Processing Algorithm Based on Discrete Wavelet Transform. Designs
2021, 5, 41. https://doi.org/10.3390/ designs5030041
[14]. Frikha T, Abdennour N, Chaabane F, Ghorbel O, Ayedi R, Shahin OR, Cheikhrouhou O. Source Localization of EEG Brainwaves
Activities via Mother Wavelets Families for SWT Decomposition. J Healthc Eng. 2021 Apr 28;2021:9938646. doi:
10.1155/2021/9938646. PMID: 34007432; PMCID: PMC8099528.
new tools for advanced EEG processing. Comput Intell Neurosci. 130714. doi: 10.1155/2011/130714. Epub PMID: 21687590; PMCID:
PMC3114412, May 2011.
[2]. X. Gao and R. Yan, Wavelets: Theory and Applications for Manufacturing, DOI 10.1007/978-1-4419-1545-0_5, # Springer
Science+Business Media, LLC 2011
[3]. Sriraam, N., A High-Performance Lossless Compression Scheme for EEG Signals Using Wavelet Transform and Neural Network
Predictors, International Journal of Telemedicine and Applications, vol. 2012, Article ID 302581, 8 pages, 2012.
https://doi.org/10.1155/2012/302581
[4]. Ed.: Dumitru Baleanu (2012),Wavelet Transforms and Their Recent Applications in Biology and Geoscience, p. cm. ISBN 978-953-51-
0212-0
[5]. Wali M. K., Murugappan M, Ahmmad B., "Wavelet Packet Transform Based Driver Distraction Level Classification Using EEG",
Mathematical Problems in Engineering, vol. 2013, Article ID 297587, 10 pages, 2013. https://doi.org/10.1155/2013/297587
[6]. V, B., A, K., M, J. & N.P.G., S. (2018). Music induced emotion using wavelet packet decomposition—An EEG study. Biomedical Signal
Processing and Control, 42:115–128. doi: 10.1016/j.bspc.2018.01.015
[7]. Eliades, C. Papadopoulos, H.. (2018). Detecting seizures in EEG recordings using conformal prediction. Proceedings of the Seventh
Workshop on Conformal and Probabilistic Prediction and Applications in Proceedings of Machine Learning Research 91:171-186
[8]. Hindarto h. et al 2018 IOP Conf. Ser.: Mater. Sci. Eng. 434 012261
[9]. Tsipouras, M.G. Spectral information of EEG signals with respect to epilepsy classification. EURASIP J. Adv. Signal Process. 2019, 10
(2019). https://doi.org/10.1186/s13634-019-0606-8
[10]. Alyasseri Z. A. A. et. al. 2019. The Effects of EEG Feature Extraction Using Multi-Wavelet Decomposition for Mental Tasks
Classification. In ICICT2019: International conference of Information and Communication Technology, April 15–16, 2019, Baghdad,
Iraq . ACM, Baghdad, Iraq, 8 pages. https://doi.org/10.1
[11]. Albaqami H., Hassan G.M., Subasi A., Datta A.,Automatic detection of abnormal EEG signals using wavelet feature extraction
and gradient boosting decision tree (2020) Biomedical Signal Processing and Control, 70 , art. no. 102957
[12]. Zamorano, M., Gómez Garcia, M. J., & Castejón, C. (2021). Selection of a mother wavelet as identification pattern for the detection of
cracks in shafts. Journal of Vibration and Control. https://doi.org/10.1177/10775463211026033
[13]. Osadchiy, A.; Kamenev, A.; Saharov, V.; Chernyi, S. Signal Processing Algorithm Based on Discrete Wavelet Transform. Designs
2021, 5, 41. https://doi.org/10.3390/ designs5030041
[14]. Frikha T, Abdennour N, Chaabane F, Ghorbel O, Ayedi R, Shahin OR, Cheikhrouhou O. Source Localization of EEG Brainwaves
Activities via Mother Wavelets Families for SWT Decomposition. J Healthc Eng. 2021 Apr 28;2021:9938646. doi:
10.1155/2021/9938646. PMID: 34007432; PMCID: PMC8099528.
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