| bibtype |
V -
Research Report
|
| ARLID |
0353289 |
| utime |
20240111140750.6 |
| mtime |
20110106235959.9 |
| title
(primary) (eng) |
Automatic Removal of Sparse Artifacts in Electroencephalogram |
| publisher |
| place |
Praha |
| name |
ÚTIA AV ČR |
| pub_time |
2010 |
|
| specification |
| page_count |
19 s. |
| media_type |
www |
|
| edition |
| name |
Research Report |
| volume_id |
2289 |
|
| keyword |
electroencephalogram |
| keyword |
independent component analysis |
| keyword |
artifact removal |
| keyword |
wavelet denoising |
| author
(primary) |
| ARLID |
cav_un_auth*0254398 |
| name1 |
Zima |
| name2 |
Miroslav |
| full_dept (cz) |
Stochastická informatika |
| full_dept (eng) |
Department of Stochastic Informatics |
| department (cz) |
SI |
| department (eng) |
SI |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101212 |
| name1 |
Tichavský |
| name2 |
Petr |
| full_dept (cz) |
Stochastická informatika |
| full_dept |
Department of Stochastic Informatics |
| department (cz) |
SI |
| department |
SI |
| institution |
UTIA-B |
| full_dept |
Department of Stochastic Informatics |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0215799 |
| name1 |
Krajča |
| name2 |
V. |
| country |
CZ |
|
| source |
|
| cas_special |
| project |
| project_id |
1M0572 |
| agency |
GA MŠk |
| ARLID |
cav_un_auth*0001814 |
|
| project |
| project_id |
GA102/09/1278 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0253174 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
This report presents an algorithm for removing artifacts from EEG signal, which is based on the method of independent component analysis utilizing the signal nonstationarity or sparsity of the artifacts. The algorithm is computationally very fast, enables online processing of long data records with excellent separation accuracy. The algorithm also incorporates using wavelet denoising of the artifact components, recently proposed by Castellanos and Makarov, which reduces distortion of the cleaned data. |
| reportyear |
2011 |
| RIV |
BB |
| mrcbC52 |
4 O 4o 20231122134349.3 |
| permalink |
http://hdl.handle.net/11104/0192576 |
| arlyear |
2010 |
| mrcbTft |
\nSoubory v repozitáři: 0353289.pdf |
| mrcbU10 |
2010 |
| mrcbU10 |
Praha ÚTIA AV ČR |
| mrcbU56 |
4,5 MB |
|