Improved epileptic seizure detection using singular spectrum empirical mode decomposition and machine learning approach

Author:

Bairagi Vinayak K.12ORCID,Harpale Varsha K.3

Affiliation:

1. Department of Electronics & Telecommunication, AISSMS Institute of Information Technology, Pune 411001, Maharashtra, India

2. IEEE Signal Processing Society Pune Chapter, Pune 411005, Maharashtra, India

3. Department of Electronics and Telecommunication, Pimpri Chinchwad College of Engineering, Pune 411044, Maharashtra, India

Publisher

Informa UK Limited

Reference26 articles.

1. Andrea Varsavsky Iven Mareels Mark Cook (2011), Epileptic seizures and the EEG measurement, models, detection and prediction, CRC Press.

2. World Health Organization (WHO). Media Centre, Epilepsy, Fact Sheet. http://www.who.int/mediacentre/factsheets /fs999/en/ (accessed 2013).

3. Electrophysiological Imaging of Brain Activity and Connectivity—Challenges and Opportunities

4. Ren, H. Qu, J. Chai, Y. Tang, Qiu Zhou, Y. (2017). An adaptive unsupervised classification of seizure method based on LMD-MSSE with EEG signals. Biomedical Research (India). 28. 3151-3158.

5. Feature extraction and classification for EEG signals using wavelet transform and machine learning techniques

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