Micro-Computerized System to Investigate the Neurocardiogenic Syncope View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2009

AUTHORS

J. F. R. Baggio , H. G. Nascimento , R. Moraes

ABSTRACT

Syncope is defined as a sudden, transient loss of consciousness and of postural tone. Its underlying mechanism is a transient global cerebral hypoperfusion.The autonomic nervous system (ANS) of healthy individuals keeps the cerebral blood flow within a suitable range by modulating the heart rate through its sympathetic and parasympathetic branches. The sympathovagal balance can be analyzed by means of the spectral analysis of heart rate variability (HRV). There are also other factors that affect the HRV, such as the respiratory frequency.To diagnose the syncope, the Head-Up Tilt Table Test (HUTT) is carried out to induce the syncope symptoms. During the HUTT, ECG and arterial blood pressure of the patient are monitored using different commercial equipments. Nevertheless, treatment strategies are still based on an incomplete understanding of the physiological mechanisms.This work reports a dedicated system designed to sample physiological data (ECG, photopletysmography signal and respiratory waveform) during the HUTT. The developed system has an acquisition module to sample the data that are sent to a microcomputer. The patient data are shown on the microcomputer screen and stored into the hard disk. The data are simultaneously sampled to allow the investigation of the physiological mechanisms that bring the syncope about. The hardware and software of the low cost developed system are described. Signals sampled from a volunteer are shown. More... »

PAGES

457-460

Book

TITLE

World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany

ISBN

978-3-642-03884-6
978-3-642-03885-3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-03885-3_127

DOI

http://dx.doi.org/10.1007/978-3-642-03885-3_127

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1038625760


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/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1109", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Neurosciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "PPGEEL, Federal University of Santa Catarina, Florian\u00f3polis, Brazil", 
          "id": "http://www.grid.ac/institutes/grid.411237.2", 
          "name": [
            "PPGEEL, Federal University of Santa Catarina, Florian\u00f3polis, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baggio", 
        "givenName": "J. F. R.", 
        "id": "sg:person.013110273157.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013110273157.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sinuscordis, SOS C\u00e1rdio, Florian\u00f3polis, Brazil", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Sinuscordis, SOS C\u00e1rdio, Florian\u00f3polis, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nascimento", 
        "givenName": "H. G.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "PPGEEL, Federal University of Santa Catarina, Florian\u00f3polis, Brazil", 
          "id": "http://www.grid.ac/institutes/grid.411237.2", 
          "name": [
            "PPGEEL, Federal University of Santa Catarina, Florian\u00f3polis, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moraes", 
        "givenName": "R.", 
        "id": "sg:person.01172531212.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01172531212.23"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2009", 
    "datePublishedReg": "2009-01-01", 
    "description": "Syncope is defined as a sudden, transient loss of consciousness and of postural tone. Its underlying mechanism is a transient global cerebral hypoperfusion.The autonomic nervous system (ANS) of healthy individuals keeps the cerebral blood flow within a suitable range by modulating the heart rate through its sympathetic and parasympathetic branches. The sympathovagal balance can be analyzed by means of the spectral analysis of heart rate variability (HRV). There are also other factors that affect the HRV, such as the respiratory frequency.To diagnose the syncope, the Head-Up Tilt Table Test (HUTT) is carried out to induce the syncope symptoms. During the HUTT, ECG and arterial blood pressure of the patient are monitored using different commercial equipments. Nevertheless, treatment strategies are still based on an incomplete understanding of the physiological mechanisms.This work reports a dedicated system designed to sample physiological data (ECG, photopletysmography signal and respiratory waveform) during the HUTT. The developed system has an acquisition module to sample the data that are sent to a microcomputer. The patient data are shown on the microcomputer screen and stored into the hard disk. The data are simultaneously sampled to allow the investigation of the physiological mechanisms that bring the syncope about. The hardware and software of the low cost developed system are described. Signals sampled from a volunteer are shown.", 
    "editor": [
      {
        "familyName": "D\u00f6ssel", 
        "givenName": "Olaf", 
        "type": "Person"
      }, 
      {
        "familyName": "Schlegel", 
        "givenName": "Wolfgang C.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-03885-3_127", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-03884-6", 
        "978-3-642-03885-3"
      ], 
      "name": "World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany", 
      "type": "Book"
    }, 
    "keywords": [
      "head-up tilt table test", 
      "heart rate variability", 
      "autonomic nervous system", 
      "transient global cerebral hypoperfusion", 
      "global cerebral hypoperfusion", 
      "arterial blood pressure", 
      "cerebral blood flow", 
      "tilt table test", 
      "cerebral hypoperfusion", 
      "blood pressure", 
      "postural tone", 
      "neurocardiogenic syncope", 
      "sympathovagal balance", 
      "treatment strategies", 
      "blood flow", 
      "heart rate", 
      "healthy individuals", 
      "respiratory frequency", 
      "syncope", 
      "physiological mechanisms", 
      "nervous system", 
      "parasympathetic branches", 
      "syncope symptoms", 
      "rate variability", 
      "transient loss", 
      "patient data", 
      "underlying mechanism", 
      "microcomputer screen", 
      "incomplete understanding", 
      "hypoperfusion", 
      "patients", 
      "symptoms", 
      "volunteers", 
      "ECG", 
      "physiological data", 
      "tone", 
      "mechanism", 
      "data", 
      "individuals", 
      "factors", 
      "rate", 
      "loss", 
      "test", 
      "pressure", 
      "consciousness", 
      "frequency", 
      "screen", 
      "strategies", 
      "balance", 
      "investigation", 
      "spectral analysis", 
      "variability", 
      "analysis", 
      "branches", 
      "understanding", 
      "system", 
      "means", 
      "disk", 
      "dedicated system", 
      "flow", 
      "low cost", 
      "cost", 
      "range", 
      "signals", 
      "equipment", 
      "table tests", 
      "software", 
      "commercial equipment", 
      "work", 
      "developed system", 
      "microcomputer", 
      "module", 
      "suitable range", 
      "acquisition module", 
      "hard disk", 
      "hardware", 
      "different commercial equipments", 
      "Micro-Computerized System"
    ], 
    "name": "Micro-Computerized System to Investigate the Neurocardiogenic Syncope", 
    "pagination": "457-460", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1038625760"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-03885-3_127"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-03885-3_127", 
      "https://app.dimensions.ai/details/publication/pub.1038625760"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-01-01T19:17", 
    "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_300.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-642-03885-3_127"
  }
]
 

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.10.1007/978-3-642-03885-3_127'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-03885-3_127'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-03885-3_127'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-03885-3_127'


 

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

159 TRIPLES      23 PREDICATES      104 URIs      97 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-03885-3_127 schema:about anzsrc-for:11
2 anzsrc-for:1109
3 schema:author N8134acecd4724c41a0c69f82b239a97b
4 schema:datePublished 2009
5 schema:datePublishedReg 2009-01-01
6 schema:description Syncope is defined as a sudden, transient loss of consciousness and of postural tone. Its underlying mechanism is a transient global cerebral hypoperfusion.The autonomic nervous system (ANS) of healthy individuals keeps the cerebral blood flow within a suitable range by modulating the heart rate through its sympathetic and parasympathetic branches. The sympathovagal balance can be analyzed by means of the spectral analysis of heart rate variability (HRV). There are also other factors that affect the HRV, such as the respiratory frequency.To diagnose the syncope, the Head-Up Tilt Table Test (HUTT) is carried out to induce the syncope symptoms. During the HUTT, ECG and arterial blood pressure of the patient are monitored using different commercial equipments. Nevertheless, treatment strategies are still based on an incomplete understanding of the physiological mechanisms.This work reports a dedicated system designed to sample physiological data (ECG, photopletysmography signal and respiratory waveform) during the HUTT. The developed system has an acquisition module to sample the data that are sent to a microcomputer. The patient data are shown on the microcomputer screen and stored into the hard disk. The data are simultaneously sampled to allow the investigation of the physiological mechanisms that bring the syncope about. The hardware and software of the low cost developed system are described. Signals sampled from a volunteer are shown.
7 schema:editor N9043bca819264b1f879c31fe0a3e0a39
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf N780ebd18d266470ab2894077412f224c
12 schema:keywords ECG
13 Micro-Computerized System
14 acquisition module
15 analysis
16 arterial blood pressure
17 autonomic nervous system
18 balance
19 blood flow
20 blood pressure
21 branches
22 cerebral blood flow
23 cerebral hypoperfusion
24 commercial equipment
25 consciousness
26 cost
27 data
28 dedicated system
29 developed system
30 different commercial equipments
31 disk
32 equipment
33 factors
34 flow
35 frequency
36 global cerebral hypoperfusion
37 hard disk
38 hardware
39 head-up tilt table test
40 healthy individuals
41 heart rate
42 heart rate variability
43 hypoperfusion
44 incomplete understanding
45 individuals
46 investigation
47 loss
48 low cost
49 means
50 mechanism
51 microcomputer
52 microcomputer screen
53 module
54 nervous system
55 neurocardiogenic syncope
56 parasympathetic branches
57 patient data
58 patients
59 physiological data
60 physiological mechanisms
61 postural tone
62 pressure
63 range
64 rate
65 rate variability
66 respiratory frequency
67 screen
68 signals
69 software
70 spectral analysis
71 strategies
72 suitable range
73 sympathovagal balance
74 symptoms
75 syncope
76 syncope symptoms
77 system
78 table tests
79 test
80 tilt table test
81 tone
82 transient global cerebral hypoperfusion
83 transient loss
84 treatment strategies
85 underlying mechanism
86 understanding
87 variability
88 volunteers
89 work
90 schema:name Micro-Computerized System to Investigate the Neurocardiogenic Syncope
91 schema:pagination 457-460
92 schema:productId N381dd74690d1430e9f76ec57847e3741
93 N47214ffb3b624b5cbb48e49eed21849c
94 schema:publisher N8338872a5f344458a901dc0373876a40
95 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038625760
96 https://doi.org/10.1007/978-3-642-03885-3_127
97 schema:sdDatePublished 2022-01-01T19:17
98 schema:sdLicense https://scigraph.springernature.com/explorer/license/
99 schema:sdPublisher Necb44302462049daad698e0769014dbc
100 schema:url https://doi.org/10.1007/978-3-642-03885-3_127
101 sgo:license sg:explorer/license/
102 sgo:sdDataset chapters
103 rdf:type schema:Chapter
104 N12240ee6d5c64cf9872b719461defd6c rdf:first sg:person.01172531212.23
105 rdf:rest rdf:nil
106 N381dd74690d1430e9f76ec57847e3741 schema:name dimensions_id
107 schema:value pub.1038625760
108 rdf:type schema:PropertyValue
109 N3b54bd66acb14d8bb94f5c3e47019011 schema:affiliation grid-institutes:None
110 schema:familyName Nascimento
111 schema:givenName H. G.
112 rdf:type schema:Person
113 N47214ffb3b624b5cbb48e49eed21849c schema:name doi
114 schema:value 10.1007/978-3-642-03885-3_127
115 rdf:type schema:PropertyValue
116 N4ac212ff16d74deeb564a9568bc16159 rdf:first N3b54bd66acb14d8bb94f5c3e47019011
117 rdf:rest N12240ee6d5c64cf9872b719461defd6c
118 N4af765c5de21412d8096cc09660e8c9a schema:familyName Dössel
119 schema:givenName Olaf
120 rdf:type schema:Person
121 N780ebd18d266470ab2894077412f224c schema:isbn 978-3-642-03884-6
122 978-3-642-03885-3
123 schema:name World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
124 rdf:type schema:Book
125 N8134acecd4724c41a0c69f82b239a97b rdf:first sg:person.013110273157.52
126 rdf:rest N4ac212ff16d74deeb564a9568bc16159
127 N8338872a5f344458a901dc0373876a40 schema:name Springer Nature
128 rdf:type schema:Organisation
129 N9043bca819264b1f879c31fe0a3e0a39 rdf:first N4af765c5de21412d8096cc09660e8c9a
130 rdf:rest Nbad3d88d3e0648f989a83648559359f7
131 Nb4ad350b916546b9b86385b3333032fe schema:familyName Schlegel
132 schema:givenName Wolfgang C.
133 rdf:type schema:Person
134 Nbad3d88d3e0648f989a83648559359f7 rdf:first Nb4ad350b916546b9b86385b3333032fe
135 rdf:rest rdf:nil
136 Necb44302462049daad698e0769014dbc schema:name Springer Nature - SN SciGraph project
137 rdf:type schema:Organization
138 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
139 schema:name Medical and Health Sciences
140 rdf:type schema:DefinedTerm
141 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
142 schema:name Neurosciences
143 rdf:type schema:DefinedTerm
144 sg:person.01172531212.23 schema:affiliation grid-institutes:grid.411237.2
145 schema:familyName Moraes
146 schema:givenName R.
147 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01172531212.23
148 rdf:type schema:Person
149 sg:person.013110273157.52 schema:affiliation grid-institutes:grid.411237.2
150 schema:familyName Baggio
151 schema:givenName J. F. R.
152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013110273157.52
153 rdf:type schema:Person
154 grid-institutes:None schema:alternateName Sinuscordis, SOS Cárdio, Florianópolis, Brazil
155 schema:name Sinuscordis, SOS Cárdio, Florianópolis, Brazil
156 rdf:type schema:Organization
157 grid-institutes:grid.411237.2 schema:alternateName PPGEEL, Federal University of Santa Catarina, Florianópolis, Brazil
158 schema:name PPGEEL, Federal University of Santa Catarina, Florianópolis, Brazil
159 rdf:type schema:Organization
 




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


...