Machine learning based EEG Signal Classification

Anjali Vasant Kadwe

Machine learning based EEG Signal Classification

July 2019

Vol-5, Issue-4

Paper ID: 10649

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Eg. Signal Processing

Keywords

Epilepcy Electroencephalogram Proposed work feature extraction Classification

Abstract

Epilepsy is a neurological disorder which is characterized by transient and unexpected electrical disturbance of the brain. The electroencephalogram (EEG) is a commonly used signal for detection of epileptic seizures. The proposed method is based on the classification of EEG signal with the less number of sample and more accurately by using the Matlab software. The Bonn University Data set use in this project provide classification of EEG signal by using the latest transform method. The project consist of Extraction of the data from text file,Frequency domain low pass filtering And Feature extraction by three most recent transform such as Coiflet Transform, Stationary Wavelet Transform (SWT) and Walsh Hadamard Transform (WHT). This transformed signal is the classified by KNN ensemble classification.This project provide an overall classification accuracy of 99%.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Anjali Vasant Kadwe	KCT’s Late G. N. Sapkal College of Engineering, Anjaneri, Nashik

How to Cite

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APA Style

Kadwe, Anjali Vasant (2019). Machine learning based EEG Signal Classification. International Journal of Advance Research and Innovative Ideas In Education, 5(4), 648-659.

MLA Style

Kadwe, Anjali Vasant. "Machine learning based EEG Signal Classification." International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 4, 2019, pp. 648-659.

IEEE Style

Anjali Vasant Kadwe, "Machine learning based EEG Signal Classification," International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 4, pp. 648-659, 2019.

Vancouver Style

Kadwe Anjali Vasant. Machine learning based EEG Signal Classification. International Journal of Advance Research and Innovative Ideas In Education. 2019;5(4):648-659.

Harvard Style

Kadwe, Anjali Vasant (2019) 'Machine learning based EEG Signal Classification', International Journal of Advance Research and Innovative Ideas In Education, 5(4), pp. 648-659.

Chicago Style

Kadwe, Anjali Vasant. "Machine learning based EEG Signal Classification." International Journal of Advance Research and Innovative Ideas In Education 5, no. 4 (2019): 648-659.

Turabian Style

Kadwe, Anjali Vasant. "Machine learning based EEG Signal Classification." International Journal of Advance Research and Innovative Ideas In Education 5, no. 4 (2019): 648-659.