Application of Empirical Mode Decomposition (Emd) for automated detection of epilepsy using Eeg signals
Epilepsy is a global disease with considerable incidence due to recurrent unprovoked seizures. These seizures can be noninvasively diagnosed using electroencephalogram (EEG), a measure of neuronal electrical activity in brain recorded along scalp. EEG is highly nonlinear, nonstationary and non-Gauss...
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| Main Authors: | , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/96823 http://hdl.handle.net/10220/11625 |
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| Institution: | Nanyang Technological University |
| Language: | English |