P300 Off-line Detection: A Fuzzy-based Support System View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2003

AUTHORS

S. Giove , F. Piccione , F. Giorgi , F. Beverina , S. Silvoni

ABSTRACT

This article describes the implementation of a fuzzy logic based algorithm for the off-line detection of the so-called P300, an event-related potential signal (ERP) arising when a target stimulus is detected. The algorithm is based on a fuzzy-inferential engine which estimates some parameters on the averaged traces.The resulting fuzzy inference system can analyse the averaged ERPs signals, and characterise, with some features, the most remarkable identified deflections. This characterisation can be used as a support for the physician diagnosis.This activity may constitute the basis for the on-line P300 study, with the aim to implement a BCI device (Brain-Computer Interface), to be used as a man-machine interface and support. More... »

PAGES

155-164

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-7908-1768-3_14

DOI

http://dx.doi.org/10.1007/978-3-7908-1768-3_14

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1051935768


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Dept. of Applied Mathematics, University of Venice Dorsoduro, 3825/E, Venice, Italy", 
          "id": "http://www.grid.ac/institutes/grid.7240.1", 
          "name": [
            "Dept. of Applied Mathematics, University of Venice Dorsoduro, 3825/E, Venice, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Giove", 
        "givenName": "S.", 
        "id": "sg:person.01264165005.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264165005.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dept. of Neuro-rehabilitation, S. Camillo Hospital, Alberoni, Venice, Italy", 
          "id": "http://www.grid.ac/institutes/grid.416308.8", 
          "name": [
            "Dept. of Neuro-rehabilitation, S. Camillo Hospital, Alberoni, Venice, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Piccione", 
        "givenName": "F.", 
        "id": "sg:person.01303716134.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303716134.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dept. of Neuro-rehabilitation, S. Camillo Hospital, Alberoni, Venice, Italy", 
          "id": "http://www.grid.ac/institutes/grid.416308.8", 
          "name": [
            "Dept. of Neuro-rehabilitation, S. Camillo Hospital, Alberoni, Venice, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Giorgi", 
        "givenName": "F.", 
        "id": "sg:person.0774210511.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0774210511.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "STMicroelectronics\u2013AST Group, 20041, Agrate Brianza, Italy", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "STMicroelectronics\u2013AST Group, 20041, Agrate Brianza, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Beverina", 
        "givenName": "F.", 
        "id": "sg:person.01045316556.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045316556.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "STMicroelectronics\u2013AST Group, 20041, Agrate Brianza, Italy", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "STMicroelectronics\u2013AST Group, 20041, Agrate Brianza, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Silvoni", 
        "givenName": "S.", 
        "id": "sg:person.0651775744.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0651775744.45"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2003", 
    "datePublishedReg": "2003-01-01", 
    "description": "This article describes the implementation of a fuzzy logic based algorithm for the off-line detection of the so-called P300, an event-related potential signal (ERP) arising when a target stimulus is detected. The algorithm is based on a fuzzy-inferential engine which estimates some parameters on the averaged traces.The resulting fuzzy inference system can analyse the averaged ERPs signals, and characterise, with some features, the most remarkable identified deflections. This characterisation can be used as a support for the physician diagnosis.This activity may constitute the basis for the on-line P300 study, with the aim to implement a BCI device (Brain-Computer Interface), to be used as a man-machine interface and support.", 
    "editor": [
      {
        "familyName": "Bonarini", 
        "givenName": "Andrea", 
        "type": "Person"
      }, 
      {
        "familyName": "Masulli", 
        "givenName": "Francesco", 
        "type": "Person"
      }, 
      {
        "familyName": "Pasi", 
        "givenName": "Gabriella", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-7908-1768-3_14", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-7908-1544-3", 
        "978-3-7908-1768-3"
      ], 
      "name": "Soft Computing Applications", 
      "type": "Book"
    }, 
    "keywords": [
      "man-machine interface", 
      "off-line detection", 
      "fuzzy inference system", 
      "event-related potential (ERP) signals", 
      "fuzzy logic", 
      "inference system", 
      "support system", 
      "BCI devices", 
      "algorithm", 
      "ERP signals", 
      "Fuzzy", 
      "engine", 
      "implementation", 
      "system", 
      "logic", 
      "physician diagnosis", 
      "P300 studies", 
      "interface", 
      "support", 
      "signals", 
      "traces", 
      "detection", 
      "devices", 
      "features", 
      "target stimuli", 
      "potential signals", 
      "diagnosis", 
      "stimuli", 
      "aim", 
      "p300", 
      "parameters", 
      "activity", 
      "study", 
      "article", 
      "basis", 
      "characterisation", 
      "deflection", 
      "fuzzy-inferential engine", 
      "line P300 study"
    ], 
    "name": "P300 Off-line Detection: A Fuzzy-based Support System", 
    "pagination": "155-164", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1051935768"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-7908-1768-3_14"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-7908-1768-3_14", 
      "https://app.dimensions.ai/details/publication/pub.1051935768"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-01-01T19:06", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/chapter/chapter_103.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-7908-1768-3_14"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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.10.1007/978-3-7908-1768-3_14'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-7908-1768-3_14'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-7908-1768-3_14'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-7908-1768-3_14'


 

This table displays all metadata directly associated to this object as RDF triples.

143 TRIPLES      23 PREDICATES      65 URIs      58 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-7908-1768-3_14 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N90da31a8364d42518478303bba436346
4 schema:datePublished 2003
5 schema:datePublishedReg 2003-01-01
6 schema:description This article describes the implementation of a fuzzy logic based algorithm for the off-line detection of the so-called P300, an event-related potential signal (ERP) arising when a target stimulus is detected. The algorithm is based on a fuzzy-inferential engine which estimates some parameters on the averaged traces.The resulting fuzzy inference system can analyse the averaged ERPs signals, and characterise, with some features, the most remarkable identified deflections. This characterisation can be used as a support for the physician diagnosis.This activity may constitute the basis for the on-line P300 study, with the aim to implement a BCI device (Brain-Computer Interface), to be used as a man-machine interface and support.
7 schema:editor Ne12be4fc621f49fa9554424ce2d50d54
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf N6871811e3c5e46fda170e676146e3463
12 schema:keywords BCI devices
13 ERP signals
14 Fuzzy
15 P300 studies
16 activity
17 aim
18 algorithm
19 article
20 basis
21 characterisation
22 deflection
23 detection
24 devices
25 diagnosis
26 engine
27 event-related potential (ERP) signals
28 features
29 fuzzy inference system
30 fuzzy logic
31 fuzzy-inferential engine
32 implementation
33 inference system
34 interface
35 line P300 study
36 logic
37 man-machine interface
38 off-line detection
39 p300
40 parameters
41 physician diagnosis
42 potential signals
43 signals
44 stimuli
45 study
46 support
47 support system
48 system
49 target stimuli
50 traces
51 schema:name P300 Off-line Detection: A Fuzzy-based Support System
52 schema:pagination 155-164
53 schema:productId N5b0dcc549f0b4630931d183d172bdb0b
54 N5cea37988dd84c76a7a15b80ed7b7550
55 schema:publisher N283c021fd6504cf7b1da01f22332fe4d
56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051935768
57 https://doi.org/10.1007/978-3-7908-1768-3_14
58 schema:sdDatePublished 2022-01-01T19:06
59 schema:sdLicense https://scigraph.springernature.com/explorer/license/
60 schema:sdPublisher Nb2ecd9e9ad3449e0b32a54531171fa4a
61 schema:url https://doi.org/10.1007/978-3-7908-1768-3_14
62 sgo:license sg:explorer/license/
63 sgo:sdDataset chapters
64 rdf:type schema:Chapter
65 N283c021fd6504cf7b1da01f22332fe4d schema:name Springer Nature
66 rdf:type schema:Organisation
67 N34d1c9c5b8b14aa6b21a2134c6f0f8c5 rdf:first sg:person.01303716134.46
68 rdf:rest N40e8d0d583b7420abf5f196c313c7c8d
69 N40e8d0d583b7420abf5f196c313c7c8d rdf:first sg:person.0774210511.16
70 rdf:rest Na7055c4d2a3448a3afceae689870add4
71 N5b0dcc549f0b4630931d183d172bdb0b schema:name doi
72 schema:value 10.1007/978-3-7908-1768-3_14
73 rdf:type schema:PropertyValue
74 N5cea37988dd84c76a7a15b80ed7b7550 schema:name dimensions_id
75 schema:value pub.1051935768
76 rdf:type schema:PropertyValue
77 N6871811e3c5e46fda170e676146e3463 schema:isbn 978-3-7908-1544-3
78 978-3-7908-1768-3
79 schema:name Soft Computing Applications
80 rdf:type schema:Book
81 N90c0f86abe6546528914e00a84e24532 rdf:first Nd0df770c4518470f9a0805533fefc540
82 rdf:rest Nfceb5826a4bc4d8499685f3cba8faf46
83 N90da31a8364d42518478303bba436346 rdf:first sg:person.01264165005.71
84 rdf:rest N34d1c9c5b8b14aa6b21a2134c6f0f8c5
85 Na7055c4d2a3448a3afceae689870add4 rdf:first sg:person.01045316556.14
86 rdf:rest Nfafe6f64f8fc46ceacfe10b592739506
87 Nb2ecd9e9ad3449e0b32a54531171fa4a schema:name Springer Nature - SN SciGraph project
88 rdf:type schema:Organization
89 Nc3b37413fc414f4a9880c944447b47ab schema:familyName Bonarini
90 schema:givenName Andrea
91 rdf:type schema:Person
92 Nd0df770c4518470f9a0805533fefc540 schema:familyName Masulli
93 schema:givenName Francesco
94 rdf:type schema:Person
95 Ne12be4fc621f49fa9554424ce2d50d54 rdf:first Nc3b37413fc414f4a9880c944447b47ab
96 rdf:rest N90c0f86abe6546528914e00a84e24532
97 Nf138c51565654623ad5a5407d92ecc99 schema:familyName Pasi
98 schema:givenName Gabriella
99 rdf:type schema:Person
100 Nfafe6f64f8fc46ceacfe10b592739506 rdf:first sg:person.0651775744.45
101 rdf:rest rdf:nil
102 Nfceb5826a4bc4d8499685f3cba8faf46 rdf:first Nf138c51565654623ad5a5407d92ecc99
103 rdf:rest rdf:nil
104 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
105 schema:name Information and Computing Sciences
106 rdf:type schema:DefinedTerm
107 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
108 schema:name Artificial Intelligence and Image Processing
109 rdf:type schema:DefinedTerm
110 sg:person.01045316556.14 schema:affiliation grid-institutes:None
111 schema:familyName Beverina
112 schema:givenName F.
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045316556.14
114 rdf:type schema:Person
115 sg:person.01264165005.71 schema:affiliation grid-institutes:grid.7240.1
116 schema:familyName Giove
117 schema:givenName S.
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264165005.71
119 rdf:type schema:Person
120 sg:person.01303716134.46 schema:affiliation grid-institutes:grid.416308.8
121 schema:familyName Piccione
122 schema:givenName F.
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303716134.46
124 rdf:type schema:Person
125 sg:person.0651775744.45 schema:affiliation grid-institutes:None
126 schema:familyName Silvoni
127 schema:givenName S.
128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0651775744.45
129 rdf:type schema:Person
130 sg:person.0774210511.16 schema:affiliation grid-institutes:grid.416308.8
131 schema:familyName Giorgi
132 schema:givenName F.
133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0774210511.16
134 rdf:type schema:Person
135 grid-institutes:None schema:alternateName STMicroelectronics–AST Group, 20041, Agrate Brianza, Italy
136 schema:name STMicroelectronics–AST Group, 20041, Agrate Brianza, Italy
137 rdf:type schema:Organization
138 grid-institutes:grid.416308.8 schema:alternateName Dept. of Neuro-rehabilitation, S. Camillo Hospital, Alberoni, Venice, Italy
139 schema:name Dept. of Neuro-rehabilitation, S. Camillo Hospital, Alberoni, Venice, Italy
140 rdf:type schema:Organization
141 grid-institutes:grid.7240.1 schema:alternateName Dept. of Applied Mathematics, University of Venice Dorsoduro, 3825/E, Venice, Italy
142 schema:name Dept. of Applied Mathematics, University of Venice Dorsoduro, 3825/E, Venice, Italy
143 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...