| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0356355 |
| utime |
20240111140753.3 |
| mtime |
20110218235959.9 |
| WOS |
000308513700092 |
| DOI |
10.5220/0003276505300535 |
| title
(primary) (eng) |
Automatic Removal of Sparse Artifacts in Electroencephalogram |
| specification |
| page_count |
6 s. |
| media_type |
DVD |
|
| serial |
| ARLID |
cav_un_epca*0356688 |
| ISBN |
978-989-8425-35-5 |
| title
|
Proceedings of the Third International Conference on Bio-Inspired Systems and Signal Processing, Biosignals 2011 |
| page_num |
530-535 |
| publisher |
| place |
Lisabon |
| name |
SciTePress |
| year |
2011 |
|
|
| keyword |
electroencephalogram |
| keyword |
artifact removal |
| keyword |
independent component analysis |
| author
(primary) |
| ARLID |
cav_un_auth*0101212 |
| name1 |
Tichavský |
| name2 |
Petr |
| full_dept (cz) |
Stochastická informatika |
| full_dept (eng) |
Department of Stochastic Informatics |
| department (cz) |
SI |
| department (eng) |
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*0254398 |
| name1 |
Zima |
| name2 |
Miroslav |
| full_dept (cz) |
Stochastická informatika |
| full_dept |
Department of Stochastic Informatics |
| department (cz) |
SI |
| department |
SI |
| institution |
UTIA-B |
| 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) |
In this paper we propose a method to identify and remove artifacts, that have a relatively short duration, from complex EEG data. The method is based on the application of an ICA algorithm to three non-overlapping partitions of a given data, selection of sparse independent components, removal of the component, and the combination of three resultant signal reconstructions in one final reconstruction. The method can be further enhanced by applying wavelet de-noising of the separated artifact components. |
| action |
| ARLID |
cav_un_auth*0269772 |
| name |
Biosignals, Int. Conf. on Bio-inspired Systems and Signal Processing |
| place |
Rome |
| dates |
26.02.2011-29.01.2011 |
| country |
IT |
|
| reportyear |
2011 |
| RIV |
FH |
| permalink |
http://hdl.handle.net/11104/0194897 |
| arlyear |
2011 |
| mrcbU34 |
000308513700092 WOS |
| mrcbU56 |
3.2 MB |
| mrcbU63 |
cav_un_epca*0356688 Proceedings of the Third International Conference on Bio-Inspired Systems and Signal Processing, Biosignals 2011 978-989-8425-35-5 530 535 Lisabon SciTePress 2011 |
|