Abstract
It has been realized the recognition of the Creutzfeldt-Jakob (DCJ) and Alzheimer (DA) diseases using data of single EEG channel, applying the fractal dimension (FD), and Biorthogonal Wavelet function techniques to extract the pattern parameters. The training rate of the ANN employing the Wavelets patterns was up to 98%, and in the case the FD technique using for recognition up to 97%.
| Original language | English |
|---|---|
| Article number | 459-168 |
| Pages (from-to) | 143-146 |
| Number of pages | 4 |
| Journal | Proceedings of the IASTED International Conference on Modelling and Simulation |
| State | Published - 2005 |
| Event | 16th IASTED International Conference on Modelling and Simulation - Cancun, Mexico Duration: 18 May 2005 → 20 May 2005 |
Keywords
- ANN
- Alzheimer disease
- Creutzfeldt-Jakob disease
- Electroencephalogram (EEG)
- Fractal dimension