URL: http://www.unicog.org/pm/pmwiki.php/MEG/RemovingArtifactsWithADJUST
Proper Citation: ADJUST (RRID:SCR_009526)
Description: A completely automatic algorithm for artifact identification and removal in EEG data. ADJUST is based on Independent Component Analysis (ICA), a successful but unsupervised method for isolating artifacts from EEG recordings. ADJUST identifies artifacted ICA components by combining stereotyped artifact-specific spatial and temporal features. Features are optimised to capture blinks, eye movements and generic discontinuities. Once artifacted IC are identified, they can be simply removed from the data while leaving the activity due to neural sources almost unaffected.
Abbreviations: ADJUST
Synonyms: ADJUST - EEG Automatic Artifact Removal, ADJUST: automatic algorithm for EEG artifact removal
Resource Type: software resource
Defining Citation: PMID:20636297
Keywords: eeg, meg, electrocorticography, matlab, os independent
Expand Allis listed by |
|
has parent organization |
National Institute of Health and Medical Research; Rennes; France |
We found {{ ctrl2.mentions.total_count }} mentions in open access literature.
We have not found any literature mentions for this resource.
We are searching literature mentions for this resource.
Most recent articles:
{{ mention._source.dc.creators[0].familyName }} {{ mention._source.dc.creators[0].initials }}, et al. ({{ mention._source.dc.publicationYear }}) {{ mention._source.dc.title }} {{ mention._source.dc.publishers[0].name }}, {{ mention._source.dc.publishers[0].volume }}({{ mention._source.dc.publishers[0].issue }}), {{ mention._source.dc.publishers[0].pagination }}. (PMID:{{ mention._id.replace('PMID:', '') }})
A list of researchers who have used the resource and an author search tool
A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.
No rating or validation information has been found for ADJUST.
No alerts have been found for ADJUST.
Source: SciCrunch Registry