Application of the sontinuous wavelet transformation (CWT) for the automatic detection of interictal epileptic discharges
Saved in:
| Date: | 2016 |
|---|---|
| Main Authors: | T. V. Prybalovets, N. V. Kresyun, K. A. Bidnyuk, O. M. Nenova, T. M. Muratova, G. V. Chernetska |
| Format: | Article |
| Language: | English |
| Published: |
2016
|
| Series: | Achievements of biology and medicine |
| Online Access: | http://jnas.nbuv.gov.ua/article/UJRN-0000640500 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Library portal of National Academy of Sciences of Ukraine | LibNAS |
Institution
Library portal of National Academy of Sciences of Ukraine | LibNASSimilar Items
-
Signal from transverse crack detection criteria by the continuous wavelet transform
by: L. V. Vashchyshyn, et al.
Published: (2013) -
Detection of a transversal crack in the rail head by wavelet transformations and neuron networks
by: L. V. Vashchyshyn, et al.
Published: (2014) -
Wavelet Analysis of the Model Signals with Peculiarities. 1. Continuous Wavelet Transform
by: Lazorenko, O. V., et al.
Published: (2013) -
Wavelet Analysis of the Model Signals with Peculiarities. 2. Analytical and Discrete Wavelet Transforms
by: Lazorenko, O. V., et al.
Published: (2013) -
Aggressive behaviour dynamic throughout the chronic convulsive syndrome interictal periodreflects brain reactivity
by: M. M. Topal
Published: (2015)