Ontology type: schema:ScholarlyArticle
2019-03-21
AUTHORSTomasz Pander
ABSTRACTNoise reduction methods have a great impact on the performance of all EEG signal processing systems. The work involves the reduction in impulsive interferences. It is impossible to suppress effectively such a noise using linear filtering approach. The work presents the properties of a cascaded filter based on the ordered weighted aggregation (OWA) operator and its application to improve the electroencephalogram (EEG) signal. The OWA operator is a class of mean-like aggregation operators. By introducing a nonlinear sorting process and by assigning appropriate values of weights to the sorted samples, the improvement in filtering in the impulsive environment is achieved. The structure of the proposed cascade consists of two layers. The first layer contains two OWA filters that share a certain number of signal samples. The second layer averages the outputs of the first layer. The algorithm for the rise of filtering efficiency has been introduced. The performance of the new method has been experimentally compared with the traditional methods of impulsive noise reduction, using synthetic as well as real signals from the CHB-MIT database. The obtained results demonstrate that in the field of impulsive noise suppression and preprocessing, the proposed cascaded OWA filter brings about a significant improvement in the signal-to-noise ratio. More... »
PAGES1-7
http://scigraph.springernature.com/pub.10.1007/s11760-019-01458-9
DOIhttp://dx.doi.org/10.1007/s11760-019-01458-9
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1112941919
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0906",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Electrical and Electronic Engineering",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Engineering",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Silesian University of Technology",
"id": "https://www.grid.ac/institutes/grid.6979.1",
"name": [
"Institute of Electronics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Akademicka St. 16, 44-100, Gliwice, Poland"
],
"type": "Organization"
},
"familyName": "Pander",
"givenName": "Tomasz",
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/s12530-014-9112-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001019109",
"https://doi.org/10.1007/s12530-014-9112-2"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.sigpro.2004.12.001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009791026"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/01.cir.101.23.e215",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032570273"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/21.87068",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061122429"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tfuzz.2008.917299",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061606173"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/embc.2012.6346931",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1078682731"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/embc.2012.6346931",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1078682731"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.sigpro.2017.04.012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084808628"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.bspc.2017.04.004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084992041"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3390/e19060222",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085607936"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tfuzz.2017.2654482",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1086111987"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.23919/mixdes.2017.8005269",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1094789183"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1155/2018/5081258",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1100413402"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3389/fphys.2018.00098",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101030732"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11760-018-1304-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1104238484",
"https://doi.org/10.1007/s11760-018-1304-y"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-03-21",
"datePublishedReg": "2019-03-21",
"description": "Noise reduction methods have a great impact on the performance of all EEG signal processing systems. The work involves the reduction in impulsive interferences. It is impossible to suppress effectively such a noise using linear filtering approach. The work presents the properties of a cascaded filter based on the ordered weighted aggregation (OWA) operator and its application to improve the electroencephalogram (EEG) signal. The OWA operator is a class of mean-like aggregation operators. By introducing a nonlinear sorting process and by assigning appropriate values of weights to the sorted samples, the improvement in filtering in the impulsive environment is achieved. The structure of the proposed cascade consists of two layers. The first layer contains two OWA filters that share a certain number of signal samples. The second layer averages the outputs of the first layer. The algorithm for the rise of filtering efficiency has been introduced. The performance of the new method has been experimentally compared with the traditional methods of impulsive noise reduction, using synthetic as well as real signals from the CHB-MIT database. The obtained results demonstrate that in the field of impulsive noise suppression and preprocessing, the proposed cascaded OWA filter brings about a significant improvement in the signal-to-noise ratio.",
"genre": "research_article",
"id": "sg:pub.10.1007/s11760-019-01458-9",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1050964",
"issn": [
"1863-1703",
"1863-1711"
],
"name": "Signal, Image and Video Processing",
"type": "Periodical"
}
],
"name": "EEG signal improvement with cascaded filter based on OWA operator",
"pagination": "1-7",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"0ff69230dabba34039e38b27b8505a09908063916888be7dfc91e2a6074737ec"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s11760-019-01458-9"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1112941919"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s11760-019-01458-9",
"https://app.dimensions.ai/details/publication/pub.1112941919"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T12:53",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000364_0000000364/records_72839_00000001.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs11760-019-01458-9"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11760-019-01458-9'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11760-019-01458-9'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11760-019-01458-9'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11760-019-01458-9'
This table displays all metadata directly associated to this object as RDF triples.
98 TRIPLES
21 PREDICATES
38 URIs
16 LITERALS
5 BLANK NODES