- 期刊
- OpenAccess
Epilepsy Detection Using EEG with Different Time Frames
摘要
The electroencephalogram (EEG) signal is widely used in clinical to investigate brain disorders and plays an important role in the diagnosis of epilepsy. We analyse and classify EEG signals using wavelets decomposition and support vector machines (SVM). In particular, we break the EEG waves into different time frames. Numerical experiment on a standard test data set demonstrates that the proposed algorithm can achieve high accuracy on the prediction of epilepsy even when short period of time duration is used.
延伸閱讀
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