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Title: :  Machine learning based EEG Signal Classification
PaperId: :  10649
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 5 Issue 4 2019
DUI:    16.0415/IJARIIE-10649
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Anjali Vasant Kadwe KCT’s Late G. N. Sapkal College of Engineering, Anjaneri, Nashik

Abstract

Eg. Signal Processing
Epilepcy, Electroencephalogram, Proposed work, feature extraction, Classification
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%.

Citations

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IJARIIE Anjali Vasant Kadwe. "Machine learning based EEG Signal Classification" International Journal Of Advance Research And Innovative Ideas In Education Volume 5 Issue 4 2019 Page 648-659
MLA Anjali Vasant Kadwe. "Machine learning based EEG Signal Classification." International Journal Of Advance Research And Innovative Ideas In Education 5.4(2019) : 648-659.
APA Anjali Vasant Kadwe. (2019). Machine learning based EEG Signal Classification. International Journal Of Advance Research And Innovative Ideas In Education, 5(4), 648-659.
Chicago Anjali Vasant Kadwe. "Machine learning based EEG Signal Classification." International Journal Of Advance Research And Innovative Ideas In Education 5, no. 4 (2019) : 648-659.
Oxford Anjali Vasant Kadwe. 'Machine learning based EEG Signal Classification', International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 4, 2019, p. 648-659. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Machine_learning_based_EEG_Signal_Classification_ijariie10649.pdf (Accessed : 28 April 2023).
Harvard Anjali Vasant Kadwe. (2019) 'Machine learning based EEG Signal Classification', International Journal Of Advance Research And Innovative Ideas In Education, 5(4), pp. 648-659IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Machine_learning_based_EEG_Signal_Classification_ijariie10649.pdf (Accessed : 28 April 2023)
IEEE 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, Jul-Aug 2019. [Online]. Available: https://ijariie.com/AdminUploadPdf/Machine_learning_based_EEG_Signal_Classification_ijariie10649.pdf [Accessed : 28 April 2023].
Turabian Anjali Vasant Kadwe. "Machine learning based EEG Signal Classification." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 5 number 4 (28 April 2023).
Vancouver Anjali Vasant Kadwe. Machine learning based EEG Signal Classification. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2019 [Cited : 28 April 2023]; 5(4) : 648-659. Available from: https://ijariie.com/AdminUploadPdf/Machine_learning_based_EEG_Signal_Classification_ijariie10649.pdf
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