Smartphone based Early Detection of Epileptic Seizures Using Machine Learning
Author:
Affiliation:
1. Electronics and Communication Engineering Department, Jain University, Bangalore, Karnataka, India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3405758.3405763
Reference21 articles.
1. U. R. Acharya S. V. Sree G. Swapna R. J. Martis and J. S. Suri 2013 Automated EEG analysis of epilepsy: a review Knowledge-Based Systems vol. 45 pp. 147--165. U. R. Acharya S. V. Sree G. Swapna R. J. Martis and J. S. Suri 2013 Automated EEG analysis of epilepsy: a review Knowledge-Based Systems vol. 45 pp. 147--165.
2. R. S. Fisher W. Van Emde Boas W. Blume et al.. Epileptic seizures and epilepsy: definitions proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE) Epilepsia vol. 46 no. 4 pp. 470--472 2005. R. S. Fisher W. Van Emde Boas W. Blume et al.. Epileptic seizures and epilepsy: definitions proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE) Epilepsia vol. 46 no. 4 pp. 470--472 2005.
3. AR spectral analysis of EEG signals by using maximum likelihood estimation
4. Comparison of ictal and interictal eeg signals using fractal features;Wang Y.;Journal of Neural Systems,2013
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