Scientific Grounds for the Design of Electrical Impedance Systems for Monitoring the Parameters of Central Hemodynamics and Respiration View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-21

AUTHORS

I. K. Sergeev

ABSTRACT

Among the instrumented methods for assessing the volume characteristics of cardiac activity, ultrasound, MRI, and CT with contrast are well known. Conventional methods do not provide for measurement of the parameters of central hemodynamics and respiration in monitoring conditions. The possibility of multichannel electrical impedance technology allows the stroke volume and fractional output of the heart to be determined and the displacement of the ventricular walls to be visualized in real time with an accuracy no worse than 1-2 mm. This article considers questions of the implementation of techniques for computing stroke and minute volumes of the circulation and displacements of the heart chamber by solving the electrical impedance measurement problem. Results of mathematical and physical modeling of cardiac activity based on precordial measurements are presented. More... »

PAGES

1-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10527-019-09850-y

DOI

http://dx.doi.org/10.1007/s10527-019-09850-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112918715


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/2008/1102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cardiorespiratory Medicine and Haematology", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Bauman Moscow State Technical University", 
          "id": "https://www.grid.ac/institutes/grid.61569.3d", 
          "name": [
            "Russian Scientific and Research Institute for Medical Engineering, Federal Service for Surveillance in Healthcare, Moscow, Russia", 
            "Bauman Moscow State Technical University, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sergeev", 
        "givenName": "I. K.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0014-4886(62)90069-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035675796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0022-3735/17/9/002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058972583"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0143-0815/6/2/002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059038237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0967-3334/33/5/695", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059123893"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tbme.1978.326329", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061524365"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03-21", 
    "datePublishedReg": "2019-03-21", 
    "description": "Among the instrumented methods for assessing the volume characteristics of cardiac activity, ultrasound, MRI, and CT with contrast are well known. Conventional methods do not provide for measurement of the parameters of central hemodynamics and respiration in monitoring conditions. The possibility of multichannel electrical impedance technology allows the stroke volume and fractional output of the heart to be determined and the displacement of the ventricular walls to be visualized in real time with an accuracy no worse than 1-2 mm. This article considers questions of the implementation of techniques for computing stroke and minute volumes of the circulation and displacements of the heart chamber by solving the electrical impedance measurement problem. Results of mathematical and physical modeling of cardiac activity based on precordial measurements are presented.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10527-019-09850-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1327370", 
        "issn": [
          "0006-3398", 
          "1573-8256"
        ], 
        "name": "Biomedical Engineering", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "52"
      }
    ], 
    "name": "Scientific Grounds for the Design of Electrical Impedance Systems for Monitoring the Parameters of Central Hemodynamics and Respiration", 
    "pagination": "1-8", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "fb3a0210bfe57d32012bae7e806a16b798d718f6f5edb614a9f84fd9167cbad9"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10527-019-09850-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112918715"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10527-019-09850-y", 
      "https://app.dimensions.ai/details/publication/pub.1112918715"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:52", 
    "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/v90/0000000371_0000000371/records_130801_00000006.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10527-019-09850-y"
  }
]
 

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/s10527-019-09850-y'

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/s10527-019-09850-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10527-019-09850-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10527-019-09850-y'


 

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

76 TRIPLES      21 PREDICATES      31 URIs      18 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10527-019-09850-y schema:about anzsrc-for:11
2 anzsrc-for:1102
3 schema:author N92e30fbe9bd6418e89e08e209febea2d
4 schema:citation https://doi.org/10.1016/0014-4886(62)90069-9
5 https://doi.org/10.1088/0022-3735/17/9/002
6 https://doi.org/10.1088/0143-0815/6/2/002
7 https://doi.org/10.1088/0967-3334/33/5/695
8 https://doi.org/10.1109/tbme.1978.326329
9 schema:datePublished 2019-03-21
10 schema:datePublishedReg 2019-03-21
11 schema:description Among the instrumented methods for assessing the volume characteristics of cardiac activity, ultrasound, MRI, and CT with contrast are well known. Conventional methods do not provide for measurement of the parameters of central hemodynamics and respiration in monitoring conditions. The possibility of multichannel electrical impedance technology allows the stroke volume and fractional output of the heart to be determined and the displacement of the ventricular walls to be visualized in real time with an accuracy no worse than 1-2 mm. This article considers questions of the implementation of techniques for computing stroke and minute volumes of the circulation and displacements of the heart chamber by solving the electrical impedance measurement problem. Results of mathematical and physical modeling of cardiac activity based on precordial measurements are presented.
12 schema:genre research_article
13 schema:inLanguage en
14 schema:isAccessibleForFree false
15 schema:isPartOf N4d2e58d6b68947838c2948a841276646
16 N6cda74a6824245f2859c1067ad1c2196
17 sg:journal.1327370
18 schema:name Scientific Grounds for the Design of Electrical Impedance Systems for Monitoring the Parameters of Central Hemodynamics and Respiration
19 schema:pagination 1-8
20 schema:productId N203890998b394951ac5324aab905f024
21 N27d629427fca462493f7d164f7a71498
22 N599494f7991840a9b5397626aeb16ffe
23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112918715
24 https://doi.org/10.1007/s10527-019-09850-y
25 schema:sdDatePublished 2019-04-11T13:52
26 schema:sdLicense https://scigraph.springernature.com/explorer/license/
27 schema:sdPublisher N598a322310f34d739a30820de3538106
28 schema:url https://link.springer.com/10.1007%2Fs10527-019-09850-y
29 sgo:license sg:explorer/license/
30 sgo:sdDataset articles
31 rdf:type schema:ScholarlyArticle
32 N203890998b394951ac5324aab905f024 schema:name dimensions_id
33 schema:value pub.1112918715
34 rdf:type schema:PropertyValue
35 N27d629427fca462493f7d164f7a71498 schema:name readcube_id
36 schema:value fb3a0210bfe57d32012bae7e806a16b798d718f6f5edb614a9f84fd9167cbad9
37 rdf:type schema:PropertyValue
38 N4d2e58d6b68947838c2948a841276646 schema:issueNumber 6
39 rdf:type schema:PublicationIssue
40 N598a322310f34d739a30820de3538106 schema:name Springer Nature - SN SciGraph project
41 rdf:type schema:Organization
42 N599494f7991840a9b5397626aeb16ffe schema:name doi
43 schema:value 10.1007/s10527-019-09850-y
44 rdf:type schema:PropertyValue
45 N6cda74a6824245f2859c1067ad1c2196 schema:volumeNumber 52
46 rdf:type schema:PublicationVolume
47 N92e30fbe9bd6418e89e08e209febea2d rdf:first Nd99f5e422a2d41859fb267a652df5226
48 rdf:rest rdf:nil
49 Nd99f5e422a2d41859fb267a652df5226 schema:affiliation https://www.grid.ac/institutes/grid.61569.3d
50 schema:familyName Sergeev
51 schema:givenName I. K.
52 rdf:type schema:Person
53 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
54 schema:name Medical and Health Sciences
55 rdf:type schema:DefinedTerm
56 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
57 schema:name Cardiorespiratory Medicine and Haematology
58 rdf:type schema:DefinedTerm
59 sg:journal.1327370 schema:issn 0006-3398
60 1573-8256
61 schema:name Biomedical Engineering
62 rdf:type schema:Periodical
63 https://doi.org/10.1016/0014-4886(62)90069-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035675796
64 rdf:type schema:CreativeWork
65 https://doi.org/10.1088/0022-3735/17/9/002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058972583
66 rdf:type schema:CreativeWork
67 https://doi.org/10.1088/0143-0815/6/2/002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059038237
68 rdf:type schema:CreativeWork
69 https://doi.org/10.1088/0967-3334/33/5/695 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059123893
70 rdf:type schema:CreativeWork
71 https://doi.org/10.1109/tbme.1978.326329 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061524365
72 rdf:type schema:CreativeWork
73 https://www.grid.ac/institutes/grid.61569.3d schema:alternateName Bauman Moscow State Technical University
74 schema:name Bauman Moscow State Technical University, Moscow, Russia
75 Russian Scientific and Research Institute for Medical Engineering, Federal Service for Surveillance in Healthcare, Moscow, Russia
76 rdf:type schema:Organization
 




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


...