Name
Title | ||
|---|---|---|
A Preliminary Study on Automatic Detection and Filtering of Artifacts from EEG Signals |
Abstract | ||
|---|---|---|
One of the biggest problems in EEG recordings is the contamination of the signal caused by artifacts because these interferences hinder the analysis of real neural information. Thus, their elimination while preserving as much brain data as possible is a key procedure before the study of the EEG. To address the automatic removal of craniofacial artifacts, this paper proposes a two-stages procedure:... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CBMS52027.2021.00046 | 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS) |
Keywords | DocType | ISBN |
Technological innovation,Filtering,Heuristic algorithms,Computational modeling,Government,Brain modeling,Electroencephalography | Conference | 978-1-6654-4121-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fernando Moncada | 1 | 0 | 0.34 |
| Víctor M. González | 2 | 0 | 0.34 |
| Víctor Álvarez | 3 | 0 | 0.34 |
| Beatriz García | 4 | 0 | 0.34 |
| José R. Villar | 5 | 0 | 0.34 |