Name
Title | ||
|---|---|---|
Evaluation of the Differentiation of Noisy Electrooculographic Records Using Continuous Wavelet Transform. |
Abstract | ||
|---|---|---|
The differentiation of signals in presence of noise results complicated, due to the amplification effect of the traditional methods. In this work we do a preliminary evaluation of the use of the wavelet transform to obtain the first derivative in electrooculographic records generated by means of simulation and strongly contaminated by white and biological noise and interference of 60 Hz of the AC line. The Haar and Gaussl wavelets produce excellent results when compared with other existing methods, revealing a very promissory field of application of this tool. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-56148-6_50 | BIOINFORMATICS AND BIOMEDICAL ENGINEERING, IWBBIO 2017, PT I |
Keywords | Field | DocType |
Wavelet differentiation,Electrooculography,Velocity,Saccades | Pattern recognition,Haar,Derivative,Continuous wavelet transform,Artificial intelligence,Interference (wave propagation),Engineering,Wavelet transform,Wavelet | Conference |
Volume | ISSN | Citations |
10208 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 6 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rodolfo García-Bermúdez | 1 | 0 | 0.68 |
| Fernando Rojas Ruiz | 2 | 34 | 7.37 |
| Gabriel Demera | 3 | 0 | 0.34 |
| Christian Torres | 4 | 0 | 0.34 |
| David Zambrano | 5 | 0 | 0.34 |
| Gonzalo Joya | 6 | 161 | 14.72 |
| Roberto Becerra-García | 7 | 0 | 0.34 |