Estimation of V̇O2max from the ratio between HRmax and HRrest – the Heart Rate Ratio Method View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2004-01

AUTHORS

Niels Uth, Henrik Sørensen, Kristian Overgaard, Preben K. Pedersen

ABSTRACT

The effects of training and/or ageing upon maximal oxygen uptake ( VO(2max)) and heart rate values at rest (HR(rest)) and maximal exercise (HR(max)), respectively, suggest a relationship between VO(2max) and the HR(max)-to-HR(rest) ratio which may be of use for indirect testing of VO(2max). Fick principle calculations supplemented by literature data on maximum-to-rest ratios for stroke volume and the arterio-venous O(2) difference suggest that the conversion factor between mass-specific VO(2max) (ml.min(-1).kg(-1)) and HR(max).HR(rest)(-1) is approximately 15. In the study we experimentally examined this relationship and evaluated its potential for prediction of VO(2max). VO(2max) was measured in 46 well-trained men (age 21-51 years) during a treadmill protocol. A subgroup ( n=10) demonstrated that the proportionality factor between HR(max).HR(rest)(-1) and mass-specific VO(2max) was 15.3 (0.7) ml.min(-1).kg(-1). Using this value, VO(2max) in the remaining 36 individuals could be estimated with an SEE of 0.21 l.min(-1) or 2.7 ml.min(-1).kg(-1) (approximately 4.5%). This compares favourably with other common indirect tests. When replacing measured HR(max) with an age-predicted one, SEE was 0.37 l.min(-1) and 4.7 ml.min(-1).kg(-1) (approximately 7.8%), which is still comparable with other indirect tests. We conclude that the HR(max)-to-HR(rest) ratio may provide a tool for estimation of VO(2max) in well-trained men. The applicability of the test principle in relation to other groups will have to await direct validation. VO(2max) can be estimated indirectly from the measured HR(max)-to-HR(rest) ratio with an accuracy that compares favourably with that of other common indirect tests. The results also suggest that the test may be of use for VO(2max) estimation based on resting measurements alone. More... »

PAGES

111-115

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00421-003-0988-y

DOI

http://dx.doi.org/10.1007/s00421-003-0988-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1043319590

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/14624296


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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "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": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Exercise", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Exercise Test", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Heart Rate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Oxygen Consumption", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Rest", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Statistics as Topic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Stroke Volume", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Aarhus University", 
          "id": "https://www.grid.ac/institutes/grid.7048.b", 
          "name": [
            "Department of Sport Science, University of Aarhus, Katrinebjergvej 89C, 8200 N, Aarhus, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Uth", 
        "givenName": "Niels", 
        "id": "sg:person.01303547524.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303547524.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Aarhus University", 
          "id": "https://www.grid.ac/institutes/grid.7048.b", 
          "name": [
            "Department of Sport Science, University of Aarhus, Katrinebjergvej 89C, 8200 N, Aarhus, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "S\u00f8rensen", 
        "givenName": "Henrik", 
        "id": "sg:person.015362420175.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015362420175.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Aarhus University", 
          "id": "https://www.grid.ac/institutes/grid.7048.b", 
          "name": [
            "Department of Sport Science, University of Aarhus, Katrinebjergvej 89C, 8200 N, Aarhus, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Overgaard", 
        "givenName": "Kristian", 
        "id": "sg:person.01150060556.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01150060556.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Southern Denmark", 
          "id": "https://www.grid.ac/institutes/grid.10825.3e", 
          "name": [
            "Institute of Sports Science and Clinical Biomechanics, University of Southern Denmark, Campusvej 55, 5230 M, Odense, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pedersen", 
        "givenName": "Preben K.", 
        "id": "sg:person.01003031352.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003031352.48"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1600-0838.1995.tb00027.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000297908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0735-1097(00)01054-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025992401"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/00005768-199509000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027051079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/00005768-198706000-00012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027382262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci104136", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035450604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(86)90837-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040287180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(86)90837-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040287180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.ph.45.030183.001125", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053044410"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005768-200205001-01754", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060236911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005768-200205001-01754", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060236911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005768-200205001-01754", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060236911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005768-200208000-00022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060236991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005768-200208000-00022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060236991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005768-200208000-00022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060236991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jappl.1954.7.2.218", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075548769"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jappl.1973.35.6.914", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1080576594"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jappl.1982.52.6.1652", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082154207"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2004-01", 
    "datePublishedReg": "2004-01-01", 
    "description": "The effects of training and/or ageing upon maximal oxygen uptake ( VO(2max)) and heart rate values at rest (HR(rest)) and maximal exercise (HR(max)), respectively, suggest a relationship between VO(2max) and the HR(max)-to-HR(rest) ratio which may be of use for indirect testing of VO(2max). Fick principle calculations supplemented by literature data on maximum-to-rest ratios for stroke volume and the arterio-venous O(2) difference suggest that the conversion factor between mass-specific VO(2max) (ml.min(-1).kg(-1)) and HR(max).HR(rest)(-1) is approximately 15. In the study we experimentally examined this relationship and evaluated its potential for prediction of VO(2max). VO(2max) was measured in 46 well-trained men (age 21-51 years) during a treadmill protocol. A subgroup ( n=10) demonstrated that the proportionality factor between HR(max).HR(rest)(-1) and mass-specific VO(2max) was 15.3 (0.7) ml.min(-1).kg(-1). Using this value, VO(2max) in the remaining 36 individuals could be estimated with an SEE of 0.21 l.min(-1) or 2.7 ml.min(-1).kg(-1) (approximately 4.5%). This compares favourably with other common indirect tests. When replacing measured HR(max) with an age-predicted one, SEE was 0.37 l.min(-1) and 4.7 ml.min(-1).kg(-1) (approximately 7.8%), which is still comparable with other indirect tests. We conclude that the HR(max)-to-HR(rest) ratio may provide a tool for estimation of VO(2max) in well-trained men. The applicability of the test principle in relation to other groups will have to await direct validation. VO(2max) can be estimated indirectly from the measured HR(max)-to-HR(rest) ratio with an accuracy that compares favourably with that of other common indirect tests. The results also suggest that the test may be of use for VO(2max) estimation based on resting measurements alone.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00421-003-0988-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1319730", 
        "issn": [
          "1439-6319", 
          "1432-1025"
        ], 
        "name": "European Journal of Applied Physiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "91"
      }
    ], 
    "name": "Estimation of V\u0307O2max from the ratio between HRmax and HRrest \u2013 the Heart Rate Ratio Method", 
    "pagination": "111-115", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ce591537d0bfc1edbf77f95bc94d14ad0925579927a2bb61799a4cd00c754e76"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "14624296"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100954790"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00421-003-0988-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1043319590"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00421-003-0988-y", 
      "https://app.dimensions.ai/details/publication/pub.1043319590"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:29", 
    "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/v90/0000000373_0000000373/records_13087_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00421-003-0988-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/s00421-003-0988-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/s00421-003-0988-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00421-003-0988-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00421-003-0988-y'


 

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

173 TRIPLES      21 PREDICATES      52 URIs      32 LITERALS      20 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00421-003-0988-y schema:about N1a4d10a887874e198ff6a794923e7168
2 N3437f9997f6d4ba3ac5d3d6dd8f939a4
3 N3e7c240bee7e497e9fe6ff535d708af7
4 N5c2ae653b5e14ce4b9818dc4cb537c1e
5 N61c28ba8c3264cc39020f42fe0635ed0
6 N64d69e619ecf4b59b66d2b5981c9f76b
7 N678c75c16b5543d58c54c96bb560d418
8 N70c190010f584f4fbe8602d10dbaabfa
9 N750b13de8cdb453591bebeab7985107a
10 Na175ec89f6e24773899476c6153eb261
11 Nd692d6d1dfb444ec910fa7e4fed951b5
12 anzsrc-for:11
13 anzsrc-for:1117
14 schema:author N868f1fce5bf7457fb654a652a1ad2454
15 schema:citation https://doi.org/10.1016/s0140-6736(86)90837-8
16 https://doi.org/10.1016/s0735-1097(00)01054-8
17 https://doi.org/10.1097/00005768-200205001-01754
18 https://doi.org/10.1097/00005768-200208000-00022
19 https://doi.org/10.1111/j.1600-0838.1995.tb00027.x
20 https://doi.org/10.1146/annurev.ph.45.030183.001125
21 https://doi.org/10.1152/jappl.1954.7.2.218
22 https://doi.org/10.1152/jappl.1973.35.6.914
23 https://doi.org/10.1152/jappl.1982.52.6.1652
24 https://doi.org/10.1172/jci104136
25 https://doi.org/10.1249/00005768-198706000-00012
26 https://doi.org/10.1249/00005768-199509000-00009
27 schema:datePublished 2004-01
28 schema:datePublishedReg 2004-01-01
29 schema:description The effects of training and/or ageing upon maximal oxygen uptake ( VO(2max)) and heart rate values at rest (HR(rest)) and maximal exercise (HR(max)), respectively, suggest a relationship between VO(2max) and the HR(max)-to-HR(rest) ratio which may be of use for indirect testing of VO(2max). Fick principle calculations supplemented by literature data on maximum-to-rest ratios for stroke volume and the arterio-venous O(2) difference suggest that the conversion factor between mass-specific VO(2max) (ml.min(-1).kg(-1)) and HR(max).HR(rest)(-1) is approximately 15. In the study we experimentally examined this relationship and evaluated its potential for prediction of VO(2max). VO(2max) was measured in 46 well-trained men (age 21-51 years) during a treadmill protocol. A subgroup ( n=10) demonstrated that the proportionality factor between HR(max).HR(rest)(-1) and mass-specific VO(2max) was 15.3 (0.7) ml.min(-1).kg(-1). Using this value, VO(2max) in the remaining 36 individuals could be estimated with an SEE of 0.21 l.min(-1) or 2.7 ml.min(-1).kg(-1) (approximately 4.5%). This compares favourably with other common indirect tests. When replacing measured HR(max) with an age-predicted one, SEE was 0.37 l.min(-1) and 4.7 ml.min(-1).kg(-1) (approximately 7.8%), which is still comparable with other indirect tests. We conclude that the HR(max)-to-HR(rest) ratio may provide a tool for estimation of VO(2max) in well-trained men. The applicability of the test principle in relation to other groups will have to await direct validation. VO(2max) can be estimated indirectly from the measured HR(max)-to-HR(rest) ratio with an accuracy that compares favourably with that of other common indirect tests. The results also suggest that the test may be of use for VO(2max) estimation based on resting measurements alone.
30 schema:genre research_article
31 schema:inLanguage en
32 schema:isAccessibleForFree true
33 schema:isPartOf N040fe248d578499898268fa6c3afb49c
34 Nf5b84b7258424d51bf60ab483ff14f16
35 sg:journal.1319730
36 schema:name Estimation of V̇O2max from the ratio between HRmax and HRrest – the Heart Rate Ratio Method
37 schema:pagination 111-115
38 schema:productId N040bba1392e44c6abb69cffdd4c3242f
39 N28a688bde4f54808854b08c4037b2804
40 N5afaf417da1c48358ad101447b565c00
41 Na049f42c0e8941abb41745309776bcff
42 Nc7b290dbec9d459a84f88b1f4dc7b7e1
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043319590
44 https://doi.org/10.1007/s00421-003-0988-y
45 schema:sdDatePublished 2019-04-11T14:29
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher N29bd19ada06b4275950dd87b8ad888ba
48 schema:url http://link.springer.com/10.1007%2Fs00421-003-0988-y
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N040bba1392e44c6abb69cffdd4c3242f schema:name pubmed_id
53 schema:value 14624296
54 rdf:type schema:PropertyValue
55 N040fe248d578499898268fa6c3afb49c schema:volumeNumber 91
56 rdf:type schema:PublicationVolume
57 N09833bcebe674f4fb8f1aa6f7e1b880c rdf:first sg:person.01150060556.32
58 rdf:rest N907d7c20ceb0444c86ebc77866a493d1
59 N1a4d10a887874e198ff6a794923e7168 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
60 schema:name Aging
61 rdf:type schema:DefinedTerm
62 N28a688bde4f54808854b08c4037b2804 schema:name dimensions_id
63 schema:value pub.1043319590
64 rdf:type schema:PropertyValue
65 N29bd19ada06b4275950dd87b8ad888ba schema:name Springer Nature - SN SciGraph project
66 rdf:type schema:Organization
67 N2c41ba80c0af42e49d0119aa6add20fb rdf:first sg:person.015362420175.18
68 rdf:rest N09833bcebe674f4fb8f1aa6f7e1b880c
69 N3437f9997f6d4ba3ac5d3d6dd8f939a4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
70 schema:name Stroke Volume
71 rdf:type schema:DefinedTerm
72 N3e7c240bee7e497e9fe6ff535d708af7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Oxygen Consumption
74 rdf:type schema:DefinedTerm
75 N5afaf417da1c48358ad101447b565c00 schema:name nlm_unique_id
76 schema:value 100954790
77 rdf:type schema:PropertyValue
78 N5c2ae653b5e14ce4b9818dc4cb537c1e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Exercise
80 rdf:type schema:DefinedTerm
81 N61c28ba8c3264cc39020f42fe0635ed0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Rest
83 rdf:type schema:DefinedTerm
84 N64d69e619ecf4b59b66d2b5981c9f76b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Statistics as Topic
86 rdf:type schema:DefinedTerm
87 N678c75c16b5543d58c54c96bb560d418 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Male
89 rdf:type schema:DefinedTerm
90 N70c190010f584f4fbe8602d10dbaabfa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Adult
92 rdf:type schema:DefinedTerm
93 N750b13de8cdb453591bebeab7985107a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Exercise Test
95 rdf:type schema:DefinedTerm
96 N868f1fce5bf7457fb654a652a1ad2454 rdf:first sg:person.01303547524.99
97 rdf:rest N2c41ba80c0af42e49d0119aa6add20fb
98 N907d7c20ceb0444c86ebc77866a493d1 rdf:first sg:person.01003031352.48
99 rdf:rest rdf:nil
100 Na049f42c0e8941abb41745309776bcff schema:name doi
101 schema:value 10.1007/s00421-003-0988-y
102 rdf:type schema:PropertyValue
103 Na175ec89f6e24773899476c6153eb261 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Heart Rate
105 rdf:type schema:DefinedTerm
106 Nc7b290dbec9d459a84f88b1f4dc7b7e1 schema:name readcube_id
107 schema:value ce591537d0bfc1edbf77f95bc94d14ad0925579927a2bb61799a4cd00c754e76
108 rdf:type schema:PropertyValue
109 Nd692d6d1dfb444ec910fa7e4fed951b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Humans
111 rdf:type schema:DefinedTerm
112 Nf5b84b7258424d51bf60ab483ff14f16 schema:issueNumber 1
113 rdf:type schema:PublicationIssue
114 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
115 schema:name Medical and Health Sciences
116 rdf:type schema:DefinedTerm
117 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
118 schema:name Public Health and Health Services
119 rdf:type schema:DefinedTerm
120 sg:journal.1319730 schema:issn 1432-1025
121 1439-6319
122 schema:name European Journal of Applied Physiology
123 rdf:type schema:Periodical
124 sg:person.01003031352.48 schema:affiliation https://www.grid.ac/institutes/grid.10825.3e
125 schema:familyName Pedersen
126 schema:givenName Preben K.
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003031352.48
128 rdf:type schema:Person
129 sg:person.01150060556.32 schema:affiliation https://www.grid.ac/institutes/grid.7048.b
130 schema:familyName Overgaard
131 schema:givenName Kristian
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01150060556.32
133 rdf:type schema:Person
134 sg:person.01303547524.99 schema:affiliation https://www.grid.ac/institutes/grid.7048.b
135 schema:familyName Uth
136 schema:givenName Niels
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303547524.99
138 rdf:type schema:Person
139 sg:person.015362420175.18 schema:affiliation https://www.grid.ac/institutes/grid.7048.b
140 schema:familyName Sørensen
141 schema:givenName Henrik
142 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015362420175.18
143 rdf:type schema:Person
144 https://doi.org/10.1016/s0140-6736(86)90837-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040287180
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/s0735-1097(00)01054-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025992401
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1097/00005768-200205001-01754 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060236911
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1097/00005768-200208000-00022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060236991
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1111/j.1600-0838.1995.tb00027.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1000297908
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1146/annurev.ph.45.030183.001125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053044410
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1152/jappl.1954.7.2.218 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075548769
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1152/jappl.1973.35.6.914 schema:sameAs https://app.dimensions.ai/details/publication/pub.1080576594
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1152/jappl.1982.52.6.1652 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082154207
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1172/jci104136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035450604
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1249/00005768-198706000-00012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027382262
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1249/00005768-199509000-00009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027051079
167 rdf:type schema:CreativeWork
168 https://www.grid.ac/institutes/grid.10825.3e schema:alternateName University of Southern Denmark
169 schema:name Institute of Sports Science and Clinical Biomechanics, University of Southern Denmark, Campusvej 55, 5230 M, Odense, Denmark
170 rdf:type schema:Organization
171 https://www.grid.ac/institutes/grid.7048.b schema:alternateName Aarhus University
172 schema:name Department of Sport Science, University of Aarhus, Katrinebjergvej 89C, 8200 N, Aarhus, Denmark
173 rdf:type schema:Organization
 




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


...