A computational model of ureteral peristalsis and an investigation into ureteral reflux View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-02

AUTHORS

G. Hosseini, C. Ji, D. Xu, M. A. Rezaienia, E. Avital, A. Munjiza, J. J. R. Williams, J. S. A. Green

ABSTRACT

The aim of this study is to create a computational model of the human ureteral system that accurately replicates the peristaltic movement of the ureter for a variety of physiological and pathological functions. The objectives of this research are met using our in-house fluid-structural dynamics code (CgLes-Y code). A realistic peristaltic motion of the ureter is modelled using a novel piecewise linear force model. The urodynamic responses are investigated under two conditions of a healthy and a depressed contraction force. A ureteral pressure during the contraction shows a very good agreement with corresponding clinical data. The results also show a dependency of the wall shear stresses on the contraction velocity and it confirms the presence of a high shear stress at the proximal part of the ureter. Additionally, it is shown that an inefficient lumen contraction can increase the possibility of a continuous reflux during the propagation of peristalsis. More... »

PAGES

117-125

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13534-017-0053-0

DOI

http://dx.doi.org/10.1007/s13534-017-0053-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092750336

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30603196


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/2008/1106", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Human Movement and Sports Science", 
        "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": "Queen Mary University of London", 
          "id": "https://www.grid.ac/institutes/grid.4868.2", 
          "name": [
            "School of Engineering and Material Sciences, Queen Mary University of London, Mile End Road, E1 4NS, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hosseini", 
        "givenName": "G.", 
        "id": "sg:person.0716667646.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716667646.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tianjin University", 
          "id": "https://www.grid.ac/institutes/grid.33763.32", 
          "name": [
            "Tianjin University, 200072, Tianjin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ji", 
        "givenName": "C.", 
        "id": "sg:person.01121711633.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01121711633.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tianjin University", 
          "id": "https://www.grid.ac/institutes/grid.33763.32", 
          "name": [
            "Tianjin University, 200072, Tianjin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xu", 
        "givenName": "D.", 
        "id": "sg:person.0671234633.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671234633.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Queen Mary University of London", 
          "id": "https://www.grid.ac/institutes/grid.4868.2", 
          "name": [
            "School of Engineering and Material Sciences, Queen Mary University of London, Mile End Road, E1 4NS, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rezaienia", 
        "givenName": "M. A.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Queen Mary University of London", 
          "id": "https://www.grid.ac/institutes/grid.4868.2", 
          "name": [
            "School of Engineering and Material Sciences, Queen Mary University of London, Mile End Road, E1 4NS, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Avital", 
        "givenName": "E.", 
        "id": "sg:person.015041737437.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015041737437.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Split", 
          "id": "https://www.grid.ac/institutes/grid.38603.3e", 
          "name": [
            "University of Split, 21000, Split, Croatia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Munjiza", 
        "givenName": "A.", 
        "id": "sg:person.01005463233.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005463233.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sichuan University", 
          "id": "https://www.grid.ac/institutes/grid.13291.38", 
          "name": [
            "Sichuan University, 610065, Chengdu, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Williams", 
        "givenName": "J. J. R.", 
        "id": "sg:person.01170025033.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01170025033.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Whipps Cross University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.439471.c", 
          "name": [
            "Whipps Cross Hospital, E11 1NR, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Green", 
        "givenName": "J. S. A.", 
        "id": "sg:person.015474124152.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015474124152.00"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0022-5347(05)67943-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015332906"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcp.2011.11.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015795810"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-6105(97)00070-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017509239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10618560290034681", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018135278"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0021-9290(70)90051-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021337487"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000658-195808000-00020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023405376"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000658-195808000-00020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023405376"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0045-7930(94)00027-v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023905934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5772/50365", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024750720"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1464-410x.1989.tb05151.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032898019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00345-008-0340-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036879737", 
          "https://doi.org/10.1007/s00345-008-0340-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00345-008-0340-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036879737", 
          "https://doi.org/10.1007/s00345-008-0340-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/fld.4277", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037190154"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4111/kju.2012.53.2.131", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037299905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1464-410x.1996.09298.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039623825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/003655998750014620", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043828206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/1056-8719(96)00045-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049535815"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiomech.2016.11.067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049734070"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/aja.1001330302", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051988626"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0022112075001760", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053820086"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0022112075001760", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053820086"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/end.2005.19.170", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059256940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/end.2006.0161", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059257156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.4003316", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062143659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.11622/smedj.2015029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063354584"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1615/critrevbiomedeng.2013009704", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068130375"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074478801", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/117.2.283", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074979234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/iembs.2007.4352504", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077516660"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/ajplegacy.1971.221.5.1484", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1080824246"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082338173", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jpurol.2017.01.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083822698"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1520/stp18111s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1088505328"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/0470020180", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109700367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/0470020180", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109700367"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-02", 
    "datePublishedReg": "2018-02-01", 
    "description": "The aim of this study is to create a computational model of the human ureteral system that accurately replicates the peristaltic movement of the ureter for a variety of physiological and pathological functions. The objectives of this research are met using our in-house fluid-structural dynamics code (CgLes-Y code). A realistic peristaltic motion of the ureter is modelled using a novel piecewise linear force model. The urodynamic responses are investigated under two conditions of a healthy and a depressed contraction force. A ureteral pressure during the contraction shows a very good agreement with corresponding clinical data. The results also show a dependency of the wall shear stresses on the contraction velocity and it confirms the presence of a high shear stress at the proximal part of the ureter. Additionally, it is shown that an inefficient lumen contraction can increase the possibility of a continuous reflux during the propagation of peristalsis.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s13534-017-0053-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2764535", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045643", 
        "issn": [
          "2093-9868", 
          "2093-985X"
        ], 
        "name": "Biomedical Engineering Letters", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "name": "A computational model of ureteral peristalsis and an investigation into ureteral reflux", 
    "pagination": "117-125", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "443532465365ec541987a26aa1d7532e9cc2fe20e862ed147549b401a7596764"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30603196"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101567784"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s13534-017-0053-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1092750336"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s13534-017-0053-0", 
      "https://app.dimensions.ai/details/publication/pub.1092750336"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:33", 
    "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/v90/0000000310_0000000310/records_90748_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs13534-017-0053-0"
  }
]
 

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/s13534-017-0053-0'

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/s13534-017-0053-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13534-017-0053-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13534-017-0053-0'


 

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

223 TRIPLES      21 PREDICATES      60 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s13534-017-0053-0 schema:about anzsrc-for:11
2 anzsrc-for:1106
3 schema:author N6e314d48a1f3485baf9a87000064d6a9
4 schema:citation sg:pub.10.1007/s00345-008-0340-6
5 https://app.dimensions.ai/details/publication/pub.1074478801
6 https://app.dimensions.ai/details/publication/pub.1082338173
7 https://doi.org/10.1002/0470020180
8 https://doi.org/10.1002/aja.1001330302
9 https://doi.org/10.1002/fld.4277
10 https://doi.org/10.1016/0021-9290(70)90051-5
11 https://doi.org/10.1016/0045-7930(94)00027-v
12 https://doi.org/10.1016/1056-8719(96)00045-7
13 https://doi.org/10.1016/j.jbiomech.2016.11.067
14 https://doi.org/10.1016/j.jcp.2011.11.010
15 https://doi.org/10.1016/j.jpurol.2017.01.012
16 https://doi.org/10.1016/s0022-5347(05)67943-8
17 https://doi.org/10.1016/s0167-6105(97)00070-6
18 https://doi.org/10.1017/s0022112075001760
19 https://doi.org/10.1046/j.1464-410x.1996.09298.x
20 https://doi.org/10.1080/003655998750014620
21 https://doi.org/10.1080/10618560290034681
22 https://doi.org/10.1089/end.2005.19.170
23 https://doi.org/10.1089/end.2006.0161
24 https://doi.org/10.1097/00000658-195808000-00020
25 https://doi.org/10.1109/iembs.2007.4352504
26 https://doi.org/10.1111/j.1464-410x.1989.tb05151.x
27 https://doi.org/10.1115/1.4003316
28 https://doi.org/10.1148/117.2.283
29 https://doi.org/10.1152/ajplegacy.1971.221.5.1484
30 https://doi.org/10.11622/smedj.2015029
31 https://doi.org/10.1520/stp18111s
32 https://doi.org/10.1615/critrevbiomedeng.2013009704
33 https://doi.org/10.4111/kju.2012.53.2.131
34 https://doi.org/10.5772/50365
35 schema:datePublished 2018-02
36 schema:datePublishedReg 2018-02-01
37 schema:description The aim of this study is to create a computational model of the human ureteral system that accurately replicates the peristaltic movement of the ureter for a variety of physiological and pathological functions. The objectives of this research are met using our in-house fluid-structural dynamics code (CgLes-Y code). A realistic peristaltic motion of the ureter is modelled using a novel piecewise linear force model. The urodynamic responses are investigated under two conditions of a healthy and a depressed contraction force. A ureteral pressure during the contraction shows a very good agreement with corresponding clinical data. The results also show a dependency of the wall shear stresses on the contraction velocity and it confirms the presence of a high shear stress at the proximal part of the ureter. Additionally, it is shown that an inefficient lumen contraction can increase the possibility of a continuous reflux during the propagation of peristalsis.
38 schema:genre research_article
39 schema:inLanguage en
40 schema:isAccessibleForFree true
41 schema:isPartOf N856ef0b7894344afa4c9d3cc4a3ddafc
42 Nb07bc0c953704cb8b7b9ef26e2d28fd2
43 sg:journal.1045643
44 schema:name A computational model of ureteral peristalsis and an investigation into ureteral reflux
45 schema:pagination 117-125
46 schema:productId N17dffc46df6d4a2cae6f5d4f466e4823
47 N31c1ba31354f451e8d4fb717e61a03ac
48 N550039c5291d4b8dae50076f4e153abb
49 N90800ca4e48949c2ae0b7c99dfbbf0c7
50 Ne5ac8cb4395c4ed3ab5714c59592b61f
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092750336
52 https://doi.org/10.1007/s13534-017-0053-0
53 schema:sdDatePublished 2019-04-11T08:33
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher N0a078deee2e5459ea6f0cd4e04ff48ae
56 schema:url https://link.springer.com/10.1007%2Fs13534-017-0053-0
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N0a078deee2e5459ea6f0cd4e04ff48ae schema:name Springer Nature - SN SciGraph project
61 rdf:type schema:Organization
62 N17dffc46df6d4a2cae6f5d4f466e4823 schema:name nlm_unique_id
63 schema:value 101567784
64 rdf:type schema:PropertyValue
65 N28f14b3534844fd7bc61fe9ae0b004e6 rdf:first sg:person.01170025033.42
66 rdf:rest Na3fe6b74205f4e72a1a9a1c3cff2bb54
67 N2bf5a33dbd7741e69b4ef66ec7200fce rdf:first sg:person.01005463233.14
68 rdf:rest N28f14b3534844fd7bc61fe9ae0b004e6
69 N31c1ba31354f451e8d4fb717e61a03ac schema:name readcube_id
70 schema:value 443532465365ec541987a26aa1d7532e9cc2fe20e862ed147549b401a7596764
71 rdf:type schema:PropertyValue
72 N532c44780ca142949d92211313ccd474 schema:affiliation https://www.grid.ac/institutes/grid.4868.2
73 schema:familyName Rezaienia
74 schema:givenName M. A.
75 rdf:type schema:Person
76 N550039c5291d4b8dae50076f4e153abb schema:name pubmed_id
77 schema:value 30603196
78 rdf:type schema:PropertyValue
79 N6e314d48a1f3485baf9a87000064d6a9 rdf:first sg:person.0716667646.11
80 rdf:rest Nde52f44a779e43c8bc3cf1699de5a016
81 N856ef0b7894344afa4c9d3cc4a3ddafc schema:volumeNumber 8
82 rdf:type schema:PublicationVolume
83 N90800ca4e48949c2ae0b7c99dfbbf0c7 schema:name doi
84 schema:value 10.1007/s13534-017-0053-0
85 rdf:type schema:PropertyValue
86 Na3fe6b74205f4e72a1a9a1c3cff2bb54 rdf:first sg:person.015474124152.00
87 rdf:rest rdf:nil
88 Na55df32234824af683cac6194661fc72 rdf:first sg:person.0671234633.41
89 rdf:rest Nd6b32c7f333c4f49a3683fba9f617a27
90 Nb07bc0c953704cb8b7b9ef26e2d28fd2 schema:issueNumber 1
91 rdf:type schema:PublicationIssue
92 Nc4e8c31f16e844958f907a46fb5ee465 rdf:first sg:person.015041737437.06
93 rdf:rest N2bf5a33dbd7741e69b4ef66ec7200fce
94 Nd6b32c7f333c4f49a3683fba9f617a27 rdf:first N532c44780ca142949d92211313ccd474
95 rdf:rest Nc4e8c31f16e844958f907a46fb5ee465
96 Nde52f44a779e43c8bc3cf1699de5a016 rdf:first sg:person.01121711633.24
97 rdf:rest Na55df32234824af683cac6194661fc72
98 Ne5ac8cb4395c4ed3ab5714c59592b61f schema:name dimensions_id
99 schema:value pub.1092750336
100 rdf:type schema:PropertyValue
101 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
102 schema:name Medical and Health Sciences
103 rdf:type schema:DefinedTerm
104 anzsrc-for:1106 schema:inDefinedTermSet anzsrc-for:
105 schema:name Human Movement and Sports Science
106 rdf:type schema:DefinedTerm
107 sg:grant.2764535 http://pending.schema.org/fundedItem sg:pub.10.1007/s13534-017-0053-0
108 rdf:type schema:MonetaryGrant
109 sg:journal.1045643 schema:issn 2093-985X
110 2093-9868
111 schema:name Biomedical Engineering Letters
112 rdf:type schema:Periodical
113 sg:person.01005463233.14 schema:affiliation https://www.grid.ac/institutes/grid.38603.3e
114 schema:familyName Munjiza
115 schema:givenName A.
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005463233.14
117 rdf:type schema:Person
118 sg:person.01121711633.24 schema:affiliation https://www.grid.ac/institutes/grid.33763.32
119 schema:familyName Ji
120 schema:givenName C.
121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01121711633.24
122 rdf:type schema:Person
123 sg:person.01170025033.42 schema:affiliation https://www.grid.ac/institutes/grid.13291.38
124 schema:familyName Williams
125 schema:givenName J. J. R.
126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01170025033.42
127 rdf:type schema:Person
128 sg:person.015041737437.06 schema:affiliation https://www.grid.ac/institutes/grid.4868.2
129 schema:familyName Avital
130 schema:givenName E.
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015041737437.06
132 rdf:type schema:Person
133 sg:person.015474124152.00 schema:affiliation https://www.grid.ac/institutes/grid.439471.c
134 schema:familyName Green
135 schema:givenName J. S. A.
136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015474124152.00
137 rdf:type schema:Person
138 sg:person.0671234633.41 schema:affiliation https://www.grid.ac/institutes/grid.33763.32
139 schema:familyName Xu
140 schema:givenName D.
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671234633.41
142 rdf:type schema:Person
143 sg:person.0716667646.11 schema:affiliation https://www.grid.ac/institutes/grid.4868.2
144 schema:familyName Hosseini
145 schema:givenName G.
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716667646.11
147 rdf:type schema:Person
148 sg:pub.10.1007/s00345-008-0340-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036879737
149 https://doi.org/10.1007/s00345-008-0340-6
150 rdf:type schema:CreativeWork
151 https://app.dimensions.ai/details/publication/pub.1074478801 schema:CreativeWork
152 https://app.dimensions.ai/details/publication/pub.1082338173 schema:CreativeWork
153 https://doi.org/10.1002/0470020180 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109700367
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1002/aja.1001330302 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051988626
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1002/fld.4277 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037190154
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/0021-9290(70)90051-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021337487
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/0045-7930(94)00027-v schema:sameAs https://app.dimensions.ai/details/publication/pub.1023905934
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/1056-8719(96)00045-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049535815
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/j.jbiomech.2016.11.067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049734070
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.jcp.2011.11.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015795810
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.jpurol.2017.01.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083822698
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/s0022-5347(05)67943-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015332906
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/s0167-6105(97)00070-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017509239
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1017/s0022112075001760 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053820086
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1046/j.1464-410x.1996.09298.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1039623825
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1080/003655998750014620 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043828206
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1080/10618560290034681 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018135278
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1089/end.2005.19.170 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059256940
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1089/end.2006.0161 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059257156
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1097/00000658-195808000-00020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023405376
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1109/iembs.2007.4352504 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077516660
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1111/j.1464-410x.1989.tb05151.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032898019
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1115/1.4003316 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062143659
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1148/117.2.283 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074979234
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1152/ajplegacy.1971.221.5.1484 schema:sameAs https://app.dimensions.ai/details/publication/pub.1080824246
198 rdf:type schema:CreativeWork
199 https://doi.org/10.11622/smedj.2015029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063354584
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1520/stp18111s schema:sameAs https://app.dimensions.ai/details/publication/pub.1088505328
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1615/critrevbiomedeng.2013009704 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068130375
204 rdf:type schema:CreativeWork
205 https://doi.org/10.4111/kju.2012.53.2.131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037299905
206 rdf:type schema:CreativeWork
207 https://doi.org/10.5772/50365 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024750720
208 rdf:type schema:CreativeWork
209 https://www.grid.ac/institutes/grid.13291.38 schema:alternateName Sichuan University
210 schema:name Sichuan University, 610065, Chengdu, China
211 rdf:type schema:Organization
212 https://www.grid.ac/institutes/grid.33763.32 schema:alternateName Tianjin University
213 schema:name Tianjin University, 200072, Tianjin, China
214 rdf:type schema:Organization
215 https://www.grid.ac/institutes/grid.38603.3e schema:alternateName University of Split
216 schema:name University of Split, 21000, Split, Croatia
217 rdf:type schema:Organization
218 https://www.grid.ac/institutes/grid.439471.c schema:alternateName Whipps Cross University Hospital
219 schema:name Whipps Cross Hospital, E11 1NR, London, UK
220 rdf:type schema:Organization
221 https://www.grid.ac/institutes/grid.4868.2 schema:alternateName Queen Mary University of London
222 schema:name School of Engineering and Material Sciences, Queen Mary University of London, Mile End Road, E1 4NS, London, UK
223 rdf:type schema:Organization
 




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


...