Introduction to ARMOR Project View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2015

AUTHORS

Nikolaos S. Voros , Christos P. Antonopoulos , Michalis Koutroumanidis , George K. Kostopoulos , Andreas A. Ioannides

ABSTRACT

Epilepsies affect 1–2 % of general population, especially in childhood and adolescence. Epileptic seizures, manifest with a wide range of paroxysmally recurring motor, cognitive, affective, and autonomic symptoms and EEG changes. Their recognition and full understanding is the basis of their optimal management. The yield of epilepsy diagnosis is considered unsatisfactory, as seizures occur unpredictably and typically outside hospital, other paroxysmal disorders are often misdiagnosed as epilepsy, and hospital evaluation costs of patients with uncertain clinical features or possibly mixed disorders are quite substantial. Reliable diagnosis requires state of the art monitoring and communication technologies providing real-time, accurate and continuous brain and body multi-parametric data measurements, suited to the patient’s medical condition and normal environment and facing issues of patient and data security, integrity and privacy. In this context, a cornerstone objective of the ARMOR project was to manage and analyze a large number of already acquired and new multimodal and advanced technology data from brain and body activities of epileptic patients and controls (MEG, multichannel EEG, ECG, GSR, EMG, etc.) aiming to design a more holistic, personalized, medically efficient and economical monitoring system. New methods and tools have been developed for multimodal data pre-processing and fusion, real-time and offline data mining of multi-parametric streaming and archived data to discover patterns and associations between external indicators and mental states, lag correlation detection, identification of motifs or outliers (vital signs changing significantly), automatic summarization of results and efficient medical context data management. In addition to the technical advances, work within research produced significant clinical results and important new insights on the nature of sleep and its putative reciprocal relationship with sleep. More... »

PAGES

1-10

Book

TITLE

Cyberphysical Systems for Epilepsy and Related Brain Disorders

ISBN

978-3-319-20048-4
978-3-319-20049-1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-20049-1_1

DOI

http://dx.doi.org/10.1007/978-3-319-20049-1_1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1004522200


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/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Technological Educational Institute of Western Greece", 
          "id": "https://www.grid.ac/institutes/grid.494510.d", 
          "name": [
            "Embedded System Design and Application Laboratory, Department of Computer and Informatics Engineering, Technological Educational Institute of Western Greece"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Voros", 
        "givenName": "Nikolaos S.", 
        "id": "sg:person.016234754405.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016234754405.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technological Educational Institute of Western Greece", 
          "id": "https://www.grid.ac/institutes/grid.494510.d", 
          "name": [
            "Embedded System Design and Application Laboratory, Department of Computer and Informatics Engineering, Technological Educational Institute of Western Greece"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Antonopoulos", 
        "givenName": "Christos P.", 
        "id": "sg:person.011136110737.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011136110737.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Clinical Neurophysiology and Epilepsy, Guy\u2019s and St Thomas\u2019 NHS Foundation Trust", 
            "Department of Academic Neurosciences, Kings College London"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Koutroumanidis", 
        "givenName": "Michalis", 
        "id": "sg:person.0710223473.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710223473.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Neurophysiology Unit, Department of Physiology, Medical School, University of Patras"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kostopoulos", 
        "givenName": "George K.", 
        "id": "sg:person.0645757700.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645757700.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Laboratory for Human Brain Dynamics, AAI Scientific Cultural Services Ltd."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ioannides", 
        "givenName": "Andreas A.", 
        "id": "sg:person.0600434417.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600434417.84"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-1-84628-644-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002454199", 
          "https://doi.org/10.1007/978-1-84628-644-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-84628-644-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002454199", 
          "https://doi.org/10.1007/978-1-84628-644-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(12)61381-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020758576"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/wco.0b013e32835ee58e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026056900"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/wco.0b013e32835ee58e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026056900"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/wco.0b013e32835ee58e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026056900"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-0-444-52898-8.00005-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027410475"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10916-010-9449-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033418512", 
          "https://doi.org/10.1007/s10916-010-9449-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.seizure.2014.01.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053202822"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015", 
    "datePublishedReg": "2015-01-01", 
    "description": "Epilepsies affect 1\u20132 % of general population, especially in childhood and adolescence. Epileptic seizures, manifest with a wide range of paroxysmally recurring motor, cognitive, affective, and autonomic symptoms and EEG changes. Their recognition and full understanding is the basis of their optimal management. The yield of epilepsy diagnosis is considered unsatisfactory, as seizures occur unpredictably and typically outside hospital, other paroxysmal disorders are often misdiagnosed as epilepsy, and hospital evaluation costs of patients with uncertain clinical features or possibly mixed disorders are quite substantial. Reliable diagnosis requires state of the art monitoring and communication technologies providing real-time, accurate and continuous brain and body multi-parametric data measurements, suited to the patient\u2019s medical condition and normal environment and facing issues of patient and data security, integrity and privacy. In this context, a cornerstone objective of the ARMOR project was to manage and analyze a large number of already acquired and new multimodal and advanced technology data from brain and body activities of epileptic patients and controls (MEG, multichannel EEG, ECG, GSR, EMG, etc.) aiming to design a more holistic, personalized, medically efficient and economical monitoring system. New methods and tools have been developed for multimodal data pre-processing and fusion, real-time and offline data mining of multi-parametric streaming and archived data to discover patterns and associations between external indicators and mental states, lag correlation detection, identification of motifs or outliers (vital signs changing significantly), automatic summarization of results and efficient medical context data management. In addition to the technical advances, work within research produced significant clinical results and important new insights on the nature of sleep and its putative reciprocal relationship with sleep.", 
    "editor": [
      {
        "familyName": "Voros", 
        "givenName": "Nikolaos S.", 
        "type": "Person"
      }, 
      {
        "familyName": "Antonopoulos", 
        "givenName": "Christos P.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-319-20049-1_1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-319-20048-4", 
        "978-3-319-20049-1"
      ], 
      "name": "Cyberphysical Systems for Epilepsy and Related Brain Disorders", 
      "type": "Book"
    }, 
    "name": "Introduction to ARMOR Project", 
    "pagination": "1-10", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-319-20049-1_1"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "158c89f71573d44001d85186fc89df1f01a88d01a7581658b40651cc74d8c85b"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1004522200"
        ]
      }
    ], 
    "publisher": {
      "location": "Cham", 
      "name": "Springer International Publishing", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-319-20049-1_1", 
      "https://app.dimensions.ai/details/publication/pub.1004522200"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T18:08", 
    "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/v90/0000000001_0000000264/records_8681_00000245.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-319-20049-1_1"
  }
]
 

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.10.1007/978-3-319-20049-1_1'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-20049-1_1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-20049-1_1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-20049-1_1'


 

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

125 TRIPLES      23 PREDICATES      33 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-319-20049-1_1 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N15cd5aeb2d2b4f279308b9f89c2c2bf6
4 schema:citation sg:pub.10.1007/978-1-84628-644-5
5 sg:pub.10.1007/s10916-010-9449-4
6 https://doi.org/10.1016/b978-0-444-52898-8.00005-7
7 https://doi.org/10.1016/j.seizure.2014.01.009
8 https://doi.org/10.1016/s0140-6736(12)61381-6
9 https://doi.org/10.1097/wco.0b013e32835ee58e
10 schema:datePublished 2015
11 schema:datePublishedReg 2015-01-01
12 schema:description Epilepsies affect 1–2 % of general population, especially in childhood and adolescence. Epileptic seizures, manifest with a wide range of paroxysmally recurring motor, cognitive, affective, and autonomic symptoms and EEG changes. Their recognition and full understanding is the basis of their optimal management. The yield of epilepsy diagnosis is considered unsatisfactory, as seizures occur unpredictably and typically outside hospital, other paroxysmal disorders are often misdiagnosed as epilepsy, and hospital evaluation costs of patients with uncertain clinical features or possibly mixed disorders are quite substantial. Reliable diagnosis requires state of the art monitoring and communication technologies providing real-time, accurate and continuous brain and body multi-parametric data measurements, suited to the patient’s medical condition and normal environment and facing issues of patient and data security, integrity and privacy. In this context, a cornerstone objective of the ARMOR project was to manage and analyze a large number of already acquired and new multimodal and advanced technology data from brain and body activities of epileptic patients and controls (MEG, multichannel EEG, ECG, GSR, EMG, etc.) aiming to design a more holistic, personalized, medically efficient and economical monitoring system. New methods and tools have been developed for multimodal data pre-processing and fusion, real-time and offline data mining of multi-parametric streaming and archived data to discover patterns and associations between external indicators and mental states, lag correlation detection, identification of motifs or outliers (vital signs changing significantly), automatic summarization of results and efficient medical context data management. In addition to the technical advances, work within research produced significant clinical results and important new insights on the nature of sleep and its putative reciprocal relationship with sleep.
13 schema:editor N8b2c677456344785ba19a190941fd00a
14 schema:genre chapter
15 schema:inLanguage en
16 schema:isAccessibleForFree false
17 schema:isPartOf Nb096eafb8eab4f2e84bf968ccb5e02f4
18 schema:name Introduction to ARMOR Project
19 schema:pagination 1-10
20 schema:productId N610371513a4e4f978ce41ca5cdf2bb67
21 N7cf7164e4de147ccb6cb981a85e28a05
22 Nc1f96f07c36a4dea8eb2d213cb27aa2a
23 schema:publisher N2a1bde116f56482baae9b82dfae64532
24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004522200
25 https://doi.org/10.1007/978-3-319-20049-1_1
26 schema:sdDatePublished 2019-04-15T18:08
27 schema:sdLicense https://scigraph.springernature.com/explorer/license/
28 schema:sdPublisher Nd0d3e2f0592f4b23a26e6ab4096e4471
29 schema:url http://link.springer.com/10.1007/978-3-319-20049-1_1
30 sgo:license sg:explorer/license/
31 sgo:sdDataset chapters
32 rdf:type schema:Chapter
33 N06f42109c8ce4c79ac4ebc71027749be rdf:first sg:person.0645757700.02
34 rdf:rest Nc10c4953fb4d416794690236240eca18
35 N15cd5aeb2d2b4f279308b9f89c2c2bf6 rdf:first sg:person.016234754405.96
36 rdf:rest N7c5936cc291742e199a3a3fe80a92c4c
37 N2a1bde116f56482baae9b82dfae64532 schema:location Cham
38 schema:name Springer International Publishing
39 rdf:type schema:Organisation
40 N428d357f560542b1b3a9b43ddbd52fa4 schema:familyName Voros
41 schema:givenName Nikolaos S.
42 rdf:type schema:Person
43 N488576a2974943c98a8f4b6b16570fd7 schema:name Neurophysiology Unit, Department of Physiology, Medical School, University of Patras
44 rdf:type schema:Organization
45 N57231f0951874a72b3995dc8cd92d915 schema:name Department of Academic Neurosciences, Kings College London
46 Department of Clinical Neurophysiology and Epilepsy, Guy’s and St Thomas’ NHS Foundation Trust
47 rdf:type schema:Organization
48 N594c126ec0e34acc9dc4b36c746aee3c schema:familyName Antonopoulos
49 schema:givenName Christos P.
50 rdf:type schema:Person
51 N610371513a4e4f978ce41ca5cdf2bb67 schema:name doi
52 schema:value 10.1007/978-3-319-20049-1_1
53 rdf:type schema:PropertyValue
54 N694e48b25cd7420a94ddc78c58abe78f rdf:first N594c126ec0e34acc9dc4b36c746aee3c
55 rdf:rest rdf:nil
56 N7c5936cc291742e199a3a3fe80a92c4c rdf:first sg:person.011136110737.32
57 rdf:rest Nfc602ad264d641d6931e79c8175a72c8
58 N7cf7164e4de147ccb6cb981a85e28a05 schema:name dimensions_id
59 schema:value pub.1004522200
60 rdf:type schema:PropertyValue
61 N8b2c677456344785ba19a190941fd00a rdf:first N428d357f560542b1b3a9b43ddbd52fa4
62 rdf:rest N694e48b25cd7420a94ddc78c58abe78f
63 N9c670b8fb2f34164b4b85b645b485e1e schema:name Laboratory for Human Brain Dynamics, AAI Scientific Cultural Services Ltd.
64 rdf:type schema:Organization
65 Nb096eafb8eab4f2e84bf968ccb5e02f4 schema:isbn 978-3-319-20048-4
66 978-3-319-20049-1
67 schema:name Cyberphysical Systems for Epilepsy and Related Brain Disorders
68 rdf:type schema:Book
69 Nc10c4953fb4d416794690236240eca18 rdf:first sg:person.0600434417.84
70 rdf:rest rdf:nil
71 Nc1f96f07c36a4dea8eb2d213cb27aa2a schema:name readcube_id
72 schema:value 158c89f71573d44001d85186fc89df1f01a88d01a7581658b40651cc74d8c85b
73 rdf:type schema:PropertyValue
74 Nd0d3e2f0592f4b23a26e6ab4096e4471 schema:name Springer Nature - SN SciGraph project
75 rdf:type schema:Organization
76 Nfc602ad264d641d6931e79c8175a72c8 rdf:first sg:person.0710223473.83
77 rdf:rest N06f42109c8ce4c79ac4ebc71027749be
78 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
79 schema:name Information and Computing Sciences
80 rdf:type schema:DefinedTerm
81 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
82 schema:name Artificial Intelligence and Image Processing
83 rdf:type schema:DefinedTerm
84 sg:person.011136110737.32 schema:affiliation https://www.grid.ac/institutes/grid.494510.d
85 schema:familyName Antonopoulos
86 schema:givenName Christos P.
87 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011136110737.32
88 rdf:type schema:Person
89 sg:person.016234754405.96 schema:affiliation https://www.grid.ac/institutes/grid.494510.d
90 schema:familyName Voros
91 schema:givenName Nikolaos S.
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016234754405.96
93 rdf:type schema:Person
94 sg:person.0600434417.84 schema:affiliation N9c670b8fb2f34164b4b85b645b485e1e
95 schema:familyName Ioannides
96 schema:givenName Andreas A.
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600434417.84
98 rdf:type schema:Person
99 sg:person.0645757700.02 schema:affiliation N488576a2974943c98a8f4b6b16570fd7
100 schema:familyName Kostopoulos
101 schema:givenName George K.
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645757700.02
103 rdf:type schema:Person
104 sg:person.0710223473.83 schema:affiliation N57231f0951874a72b3995dc8cd92d915
105 schema:familyName Koutroumanidis
106 schema:givenName Michalis
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710223473.83
108 rdf:type schema:Person
109 sg:pub.10.1007/978-1-84628-644-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002454199
110 https://doi.org/10.1007/978-1-84628-644-5
111 rdf:type schema:CreativeWork
112 sg:pub.10.1007/s10916-010-9449-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033418512
113 https://doi.org/10.1007/s10916-010-9449-4
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1016/b978-0-444-52898-8.00005-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027410475
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1016/j.seizure.2014.01.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053202822
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1016/s0140-6736(12)61381-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020758576
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1097/wco.0b013e32835ee58e schema:sameAs https://app.dimensions.ai/details/publication/pub.1026056900
122 rdf:type schema:CreativeWork
123 https://www.grid.ac/institutes/grid.494510.d schema:alternateName Technological Educational Institute of Western Greece
124 schema:name Embedded System Design and Application Laboratory, Department of Computer and Informatics Engineering, Technological Educational Institute of Western Greece
125 rdf:type schema:Organization
 




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


...