Electrocardiogram frequency change by extracorporeal blood perfusion in a swine ventricular fibrillation model View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-12

AUTHORS

Jung Chan Lee, Gil Joon Suh, Hee Chan Kim

ABSTRACT

BACKGROUND: Extracorporeal cardiopulmonary resuscitation (ECPR) refers to the application of extracorporeal blood circulation with oxygenation as a resuscitation tool. The objective of this study is to observe the frequency component changes in the electrocardiogram (ECG) by ECPR during prolonged ventricular fibrillation (VF). METHODS: Six swine were prepared as a VF model. Extracorporeal blood circulation with a pulsatile blood pump and oxygenator was set up for the model. ECG signals were measured for 13 min during VF and analyzed using frequency analysis methods. The median frequency (MF), dominant frequency (DF), and amplitude spectrum area (AMSA) were calculated from a spectrogram obtained using short-time Fourier transform (STFT). RESULTS: MF decreased from 11 Hz at the start to 9 Hz at 2 min after VF and then increased to 11 Hz at 4.5 min after VF. DF started at 7 Hz and increased to 11 Hz within the first min and decreased to 9 Hz at 2 min, then increased to 12 Hz at 4.5 min after VF. Both frequency components decreased gradually from 4.5 min until 10 min after VF. After the oxygenated blood perfusion was initiated, both MF and DF increased remarkably and exceeded 12 and 14 Hz, respectively. Similarly, AMSA decreased gradually for the first 10 min, but increased remarkably and varied beyond 13 mV∙Hz after the oxygenated blood supply started. Remarkable frequency increases in ECG due to the oxygenated blood perfusion during ECPR were observed in the swine VF model. CONCLUSIONS: The ECG frequency analysis during ECPR can give the resuscitation provider important information about the cardiac perfusion status and the appropriateness of the ECPR setup as well as the prediction of defibrillation success. More... »

PAGES

123

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1475-925x-12-123

DOI

http://dx.doi.org/10.1186/1475-925x-12-123

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1050272047

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24274395


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Disease Models, Animal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Electrocardiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Oxygen", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Perfusion", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Signal Processing, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Swine", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ventricular Fibrillation", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Seoul National University", 
          "id": "https://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Institute of Medical and Biological Engineering, Medical Research Center, Seoul National University, Yongon-dong 28, 110-744, Jongro-gu, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Jung Chan", 
        "id": "sg:person.01045200000.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045200000.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Emergency Medicine, Seoul National University College of Medicine and Seoul National University Hospital, Yongon-dong 28, 110-744, Jongro-gu, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suh", 
        "givenName": "Gil Joon", 
        "id": "sg:person.01020700506.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020700506.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University", 
          "id": "https://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Institute of Medical and Biological Engineering, Medical Research Center, Seoul National University, Yongon-dong 28, 110-744, Jongro-gu, Seoul, Republic of Korea", 
            "Department of Biomedical Engineering, Seoul National University College of Medicine and Seoul National University Hospital, Yongon-dong 28, 110-744, Jongro-gu, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Hee Chan", 
        "id": "sg:person.01100214455.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01100214455.87"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0300-9572(01)00488-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001187098"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000127780.01362.e5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001958208"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000127780.01362.e5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001958208"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.288.23.3035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003380345"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(08)60958-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006675126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ccm.0b013e31827ca4c8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007798214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ccm.0b013e31827ca4c8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007798214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.resuscitation.2010.08.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009062556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000134353.55378.88", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013990012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000134353.55378.88", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013990012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000134353.55378.88", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013990012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0196-0644(89)80056-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014165713"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0196-0644(89)80056-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014165713"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1067/mem.2002.129866", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018881069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1067/mem.2002.129866", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018881069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1542/peds.2011-2371", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021331756"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0300-9572(99)00127-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028943107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0300-9572(96)01003-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029319538"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jpedsurg.2012.09.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032302316"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00075198-200106000-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035793044"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00075198-200106000-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035793044"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.resuscitation.2012.01.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036696184"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1114/1.170", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042486340", 
          "https://doi.org/10.1114/1.170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mat.0000150324.02040.b4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042902101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mat.0000150324.02040.b4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042902101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.resuscitation.2010.03.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045167312"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.1966.03110080055017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046276863"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0300-9572(01)00322-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048745994"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003246-200011001-00010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051245529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003246-200011001-00010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051245529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.resuscitation.2010.08.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052437210"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.athoracsur.2012.04.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052850827"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0735-1097(13)61322-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052967640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0967-3334/26/5/r01", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059122874"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0967-3334/26/5/r01", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059122874"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003246-199904000-00021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060173982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003246-199904000-00021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060173982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003246-199904000-00021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060173982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/10.55668", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061084994"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-102-1-53", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073689816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/ajpheart.2000.279.2.h825", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074678845"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077295189", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mat.0000237691.04026.b8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077295189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mat.0000237691.04026.b8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077295189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/iembs.2004.1404114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077364049"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-12", 
    "datePublishedReg": "2013-12-01", 
    "description": "BACKGROUND: Extracorporeal cardiopulmonary resuscitation (ECPR) refers to the application of extracorporeal blood circulation with oxygenation as a resuscitation tool. The objective of this study is to observe the frequency component changes in the electrocardiogram (ECG) by ECPR during prolonged ventricular fibrillation (VF).\nMETHODS: Six swine were prepared as a VF model. Extracorporeal blood circulation with a pulsatile blood pump and oxygenator was set up for the model. ECG signals were measured for 13\u00a0min during VF and analyzed using frequency analysis methods. The median frequency (MF), dominant frequency (DF), and amplitude spectrum area (AMSA) were calculated from a spectrogram obtained using short-time Fourier transform (STFT).\nRESULTS: MF decreased from 11\u00a0Hz at the start to 9\u00a0Hz at 2\u00a0min after VF and then increased to 11\u00a0Hz at 4.5\u00a0min after VF. DF started at 7\u00a0Hz and increased to 11\u00a0Hz within the first min and decreased to 9\u00a0Hz at 2\u00a0min, then increased to 12\u00a0Hz at 4.5\u00a0min after VF. Both frequency components decreased gradually from 4.5\u00a0min until 10\u00a0min after VF. After the oxygenated blood perfusion was initiated, both MF and DF increased remarkably and exceeded 12 and 14\u00a0Hz, respectively. Similarly, AMSA decreased gradually for the first 10\u00a0min, but increased remarkably and varied beyond 13\u00a0mV\u2219Hz after the oxygenated blood supply started. Remarkable frequency increases in ECG due to the oxygenated blood perfusion during ECPR were observed in the swine VF model.\nCONCLUSIONS: The ECG frequency analysis during ECPR can give the resuscitation provider important information about the cardiac perfusion status and the appropriateness of the ECPR setup as well as the prediction of defibrillation success.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1475-925x-12-123", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.7478530", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1031014", 
        "issn": [
          "1475-925X"
        ], 
        "name": "BioMedical Engineering OnLine", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "12"
      }
    ], 
    "name": "Electrocardiogram frequency change by extracorporeal blood perfusion in a swine ventricular fibrillation model", 
    "pagination": "123", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ef7b3028e99d6eee4e907dcf11be558660213d3eaa8d57ecfd19d04e839db4c6"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24274395"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101147518"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1475-925x-12-123"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1050272047"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1475-925x-12-123", 
      "https://app.dimensions.ai/details/publication/pub.1050272047"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:11", 
    "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_8660_00000516.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1475-925X-12-123"
  }
]
 

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.10.1186/1475-925x-12-123'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1475-925x-12-123'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1475-925x-12-123'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1475-925x-12-123'


 

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

215 TRIPLES      21 PREDICATES      69 URIs      29 LITERALS      17 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1475-925x-12-123 schema:about N1e94b54fd67f41a4b7e28d4dab38ad22
2 N1f44e91c708a40da9bf66c8513e05820
3 N39b00f0109eb4fcab911ed4d98a5aae8
4 N6af0fb92897049e29ea7cac924f892ab
5 N7e2c5b93217f4e85a54b2a6523f4dcf2
6 Nb1891dd37b714360973a3169dcabac77
7 Nba8d332455b948f8ab975829a7bab8ab
8 Nf7aa9666eb73485db9d1fd73a3f6eb68
9 anzsrc-for:11
10 anzsrc-for:1102
11 schema:author N9d3f9992a42a4f07ba1b95c92ba6fbb6
12 schema:citation sg:pub.10.1114/1.170
13 https://app.dimensions.ai/details/publication/pub.1077295189
14 https://doi.org/10.1001/jama.1966.03110080055017
15 https://doi.org/10.1001/jama.288.23.3035
16 https://doi.org/10.1016/j.athoracsur.2012.04.040
17 https://doi.org/10.1016/j.jpedsurg.2012.09.014
18 https://doi.org/10.1016/j.resuscitation.2010.03.002
19 https://doi.org/10.1016/j.resuscitation.2010.08.012
20 https://doi.org/10.1016/j.resuscitation.2010.08.021
21 https://doi.org/10.1016/j.resuscitation.2012.01.031
22 https://doi.org/10.1016/s0140-6736(08)60958-7
23 https://doi.org/10.1016/s0196-0644(89)80056-3
24 https://doi.org/10.1016/s0300-9572(01)00322-7
25 https://doi.org/10.1016/s0300-9572(01)00488-9
26 https://doi.org/10.1016/s0300-9572(96)01003-9
27 https://doi.org/10.1016/s0300-9572(99)00127-6
28 https://doi.org/10.1016/s0735-1097(13)61322-4
29 https://doi.org/10.1067/mem.2002.129866
30 https://doi.org/10.1088/0967-3334/26/5/r01
31 https://doi.org/10.1097/00003246-199904000-00021
32 https://doi.org/10.1097/00003246-200011001-00010
33 https://doi.org/10.1097/00075198-200106000-00003
34 https://doi.org/10.1097/01.ccm.0000127780.01362.e5
35 https://doi.org/10.1097/01.ccm.0000134353.55378.88
36 https://doi.org/10.1097/01.mat.0000150324.02040.b4
37 https://doi.org/10.1097/01.mat.0000237691.04026.b8
38 https://doi.org/10.1097/ccm.0b013e31827ca4c8
39 https://doi.org/10.1109/10.55668
40 https://doi.org/10.1109/iembs.2004.1404114
41 https://doi.org/10.1152/ajpheart.2000.279.2.h825
42 https://doi.org/10.1542/peds.2011-2371
43 https://doi.org/10.7326/0003-4819-102-1-53
44 schema:datePublished 2013-12
45 schema:datePublishedReg 2013-12-01
46 schema:description BACKGROUND: Extracorporeal cardiopulmonary resuscitation (ECPR) refers to the application of extracorporeal blood circulation with oxygenation as a resuscitation tool. The objective of this study is to observe the frequency component changes in the electrocardiogram (ECG) by ECPR during prolonged ventricular fibrillation (VF). METHODS: Six swine were prepared as a VF model. Extracorporeal blood circulation with a pulsatile blood pump and oxygenator was set up for the model. ECG signals were measured for 13 min during VF and analyzed using frequency analysis methods. The median frequency (MF), dominant frequency (DF), and amplitude spectrum area (AMSA) were calculated from a spectrogram obtained using short-time Fourier transform (STFT). RESULTS: MF decreased from 11 Hz at the start to 9 Hz at 2 min after VF and then increased to 11 Hz at 4.5 min after VF. DF started at 7 Hz and increased to 11 Hz within the first min and decreased to 9 Hz at 2 min, then increased to 12 Hz at 4.5 min after VF. Both frequency components decreased gradually from 4.5 min until 10 min after VF. After the oxygenated blood perfusion was initiated, both MF and DF increased remarkably and exceeded 12 and 14 Hz, respectively. Similarly, AMSA decreased gradually for the first 10 min, but increased remarkably and varied beyond 13 mV∙Hz after the oxygenated blood supply started. Remarkable frequency increases in ECG due to the oxygenated blood perfusion during ECPR were observed in the swine VF model. CONCLUSIONS: The ECG frequency analysis during ECPR can give the resuscitation provider important information about the cardiac perfusion status and the appropriateness of the ECPR setup as well as the prediction of defibrillation success.
47 schema:genre research_article
48 schema:inLanguage en
49 schema:isAccessibleForFree true
50 schema:isPartOf N71e7d941691843ddbd287805a4f87a65
51 N877cb47165e94437a992d80ff0f4c89f
52 sg:journal.1031014
53 schema:name Electrocardiogram frequency change by extracorporeal blood perfusion in a swine ventricular fibrillation model
54 schema:pagination 123
55 schema:productId N1777a5df8d464acda7dc67d220e2776e
56 N39b56f2a3616416e92155f6591373ea0
57 N795ccea9ae194ae58f7e01df8aec30fd
58 Nbb9cfab963d6411c845e1d37293743fb
59 Ne0d019f1d1574c69b5cf2e3267a32ec4
60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050272047
61 https://doi.org/10.1186/1475-925x-12-123
62 schema:sdDatePublished 2019-04-10T14:11
63 schema:sdLicense https://scigraph.springernature.com/explorer/license/
64 schema:sdPublisher N6c255b7b4b8b4b2798cb4225f11fb230
65 schema:url http://link.springer.com/10.1186%2F1475-925X-12-123
66 sgo:license sg:explorer/license/
67 sgo:sdDataset articles
68 rdf:type schema:ScholarlyArticle
69 N1777a5df8d464acda7dc67d220e2776e schema:name readcube_id
70 schema:value ef7b3028e99d6eee4e907dcf11be558660213d3eaa8d57ecfd19d04e839db4c6
71 rdf:type schema:PropertyValue
72 N1e94b54fd67f41a4b7e28d4dab38ad22 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Ventricular Fibrillation
74 rdf:type schema:DefinedTerm
75 N1f44e91c708a40da9bf66c8513e05820 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Perfusion
77 rdf:type schema:DefinedTerm
78 N39b00f0109eb4fcab911ed4d98a5aae8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Electrocardiography
80 rdf:type schema:DefinedTerm
81 N39b56f2a3616416e92155f6591373ea0 schema:name nlm_unique_id
82 schema:value 101147518
83 rdf:type schema:PropertyValue
84 N6af0fb92897049e29ea7cac924f892ab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Oxygen
86 rdf:type schema:DefinedTerm
87 N6c255b7b4b8b4b2798cb4225f11fb230 schema:name Springer Nature - SN SciGraph project
88 rdf:type schema:Organization
89 N71e7d941691843ddbd287805a4f87a65 schema:issueNumber 1
90 rdf:type schema:PublicationIssue
91 N795ccea9ae194ae58f7e01df8aec30fd schema:name dimensions_id
92 schema:value pub.1050272047
93 rdf:type schema:PropertyValue
94 N7e2c5b93217f4e85a54b2a6523f4dcf2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Animals
96 rdf:type schema:DefinedTerm
97 N877cb47165e94437a992d80ff0f4c89f schema:volumeNumber 12
98 rdf:type schema:PublicationVolume
99 N89e11992836241ada91e3f82a470f3ea rdf:first sg:person.01100214455.87
100 rdf:rest rdf:nil
101 N9d3f9992a42a4f07ba1b95c92ba6fbb6 rdf:first sg:person.01045200000.49
102 rdf:rest Nd443139a604541f19253b750975d0c4e
103 Nacb876516869486281c13b2fb0b424c3 schema:name Department of Emergency Medicine, Seoul National University College of Medicine and Seoul National University Hospital, Yongon-dong 28, 110-744, Jongro-gu, Seoul, Republic of Korea
104 rdf:type schema:Organization
105 Nb1891dd37b714360973a3169dcabac77 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Swine
107 rdf:type schema:DefinedTerm
108 Nba8d332455b948f8ab975829a7bab8ab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Signal Processing, Computer-Assisted
110 rdf:type schema:DefinedTerm
111 Nbb9cfab963d6411c845e1d37293743fb schema:name pubmed_id
112 schema:value 24274395
113 rdf:type schema:PropertyValue
114 Nd443139a604541f19253b750975d0c4e rdf:first sg:person.01020700506.64
115 rdf:rest N89e11992836241ada91e3f82a470f3ea
116 Ne0d019f1d1574c69b5cf2e3267a32ec4 schema:name doi
117 schema:value 10.1186/1475-925x-12-123
118 rdf:type schema:PropertyValue
119 Nf7aa9666eb73485db9d1fd73a3f6eb68 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Disease Models, Animal
121 rdf:type schema:DefinedTerm
122 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
123 schema:name Medical and Health Sciences
124 rdf:type schema:DefinedTerm
125 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
126 schema:name Cardiorespiratory Medicine and Haematology
127 rdf:type schema:DefinedTerm
128 sg:grant.7478530 http://pending.schema.org/fundedItem sg:pub.10.1186/1475-925x-12-123
129 rdf:type schema:MonetaryGrant
130 sg:journal.1031014 schema:issn 1475-925X
131 schema:name BioMedical Engineering OnLine
132 rdf:type schema:Periodical
133 sg:person.01020700506.64 schema:affiliation Nacb876516869486281c13b2fb0b424c3
134 schema:familyName Suh
135 schema:givenName Gil Joon
136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020700506.64
137 rdf:type schema:Person
138 sg:person.01045200000.49 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
139 schema:familyName Lee
140 schema:givenName Jung Chan
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045200000.49
142 rdf:type schema:Person
143 sg:person.01100214455.87 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
144 schema:familyName Kim
145 schema:givenName Hee Chan
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01100214455.87
147 rdf:type schema:Person
148 sg:pub.10.1114/1.170 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042486340
149 https://doi.org/10.1114/1.170
150 rdf:type schema:CreativeWork
151 https://app.dimensions.ai/details/publication/pub.1077295189 schema:CreativeWork
152 https://doi.org/10.1001/jama.1966.03110080055017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046276863
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1001/jama.288.23.3035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003380345
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/j.athoracsur.2012.04.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052850827
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/j.jpedsurg.2012.09.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032302316
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/j.resuscitation.2010.03.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045167312
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.resuscitation.2010.08.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009062556
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.resuscitation.2010.08.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052437210
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/j.resuscitation.2012.01.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036696184
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/s0140-6736(08)60958-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006675126
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/s0196-0644(89)80056-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014165713
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/s0300-9572(01)00322-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048745994
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/s0300-9572(01)00488-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001187098
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/s0300-9572(96)01003-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029319538
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/s0300-9572(99)00127-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028943107
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/s0735-1097(13)61322-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052967640
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1067/mem.2002.129866 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018881069
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1088/0967-3334/26/5/r01 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059122874
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1097/00003246-199904000-00021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060173982
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1097/00003246-200011001-00010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051245529
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1097/00075198-200106000-00003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035793044
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1097/01.ccm.0000127780.01362.e5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001958208
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1097/01.ccm.0000134353.55378.88 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013990012
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1097/01.mat.0000150324.02040.b4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042902101
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1097/01.mat.0000237691.04026.b8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077295189
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1097/ccm.0b013e31827ca4c8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007798214
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1109/10.55668 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061084994
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1109/iembs.2004.1404114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077364049
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1152/ajpheart.2000.279.2.h825 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074678845
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1542/peds.2011-2371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021331756
209 rdf:type schema:CreativeWork
210 https://doi.org/10.7326/0003-4819-102-1-53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073689816
211 rdf:type schema:CreativeWork
212 https://www.grid.ac/institutes/grid.31501.36 schema:alternateName Seoul National University
213 schema:name Department of Biomedical Engineering, Seoul National University College of Medicine and Seoul National University Hospital, Yongon-dong 28, 110-744, Jongro-gu, Seoul, Republic of Korea
214 Institute of Medical and Biological Engineering, Medical Research Center, Seoul National University, Yongon-dong 28, 110-744, Jongro-gu, Seoul, Republic of Korea
215 rdf:type schema:Organization
 




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


...