Ontology type: schema:ScholarlyArticle Open Access: True
2021-01-26
AUTHORSSteffen Willwacher, Kai Daniel Oberländer, Patrick Mai, Daniela Mählich, Markus Kurz, Till Koopmann, Dominik Fohrmann, Artur Kantarev, Uwe Gustav Kersting
ABSTRACTTreadmills are essential to the study of human and animal locomotion as well as for applied diagnostics in both sports and medicine. The quantification of relevant biomechanical and physiological variables requires a precise regulation of treadmill belt velocity (TBV). Here, we present a novel method for time-efficient tracking of TBV using standard 3D motion capture technology. Further, we analyzed TBV fluctuations of four different treadmills as seven participants walked and ran at target speeds ranging from 1.0 to 4.5 m/s. Using the novel method, we show that TBV regulation differs between treadmill types, and that certain features of TBV regulation are affected by the subjects’ body mass and their locomotion speed. With higher body mass, the TBV reductions in the braking phase of stance became higher, even though this relationship differed between locomotion speeds and treadmill type (significant body mass × speed × treadmill type interaction). Average belt speeds varied between about 98 and 103% of the target speed. For three of the four treadmills, TBV reduction during the stance phase of running was more intense (> 5% target speed) and occurred earlier (before 50% of stance phase) unlike the typical overground center of mass velocity patterns reported in the literature. Overall, the results of this study emphasize the importance of monitoring TBV during locomotor research and applied diagnostics. We provide a novel method that is freely accessible on Matlab’s file exchange server (“getBeltVelocity.m”) allowing TBV tracking to become standard practice in locomotion research. More... »
PAGES2244
http://scigraph.springernature.com/pub.10.1038/s41598-021-81951-9
DOIhttp://dx.doi.org/10.1038/s41598-021-81951-9
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1134852905
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/33500528
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Clinical Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "School of Human Movement and Nutrition Sciences, The University of Queensland, St Lucia, QLD, Australia",
"id": "http://www.grid.ac/institutes/grid.1003.2",
"name": [
"Department of Mechanical and Process Engineering, Offenburg University of Applied Sciences, Badstra\u00dfe 24, 77652, Offenburg, Germany",
"Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany",
"School of Human Movement and Nutrition Sciences, The University of Queensland, St Lucia, QLD, Australia"
],
"type": "Organization"
},
"familyName": "Willwacher",
"givenName": "Steffen",
"id": "sg:person.011304030103.46",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011304030103.46"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Hochschule Fresenius, Cologne, Germany",
"id": "http://www.grid.ac/institutes/grid.440934.e",
"name": [
"Motesque Inc., Cologne, Germany",
"Hochschule Fresenius, Cologne, Germany"
],
"type": "Organization"
},
"familyName": "Oberl\u00e4nder",
"givenName": "Kai Daniel",
"id": "sg:person.0664161767.02",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0664161767.02"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany",
"id": "http://www.grid.ac/institutes/grid.27593.3a",
"name": [
"Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany"
],
"type": "Organization"
},
"familyName": "Mai",
"givenName": "Patrick",
"id": "sg:person.012331071157.16",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012331071157.16"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany",
"id": "http://www.grid.ac/institutes/grid.27593.3a",
"name": [
"Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany"
],
"type": "Organization"
},
"familyName": "M\u00e4hlich",
"givenName": "Daniela",
"id": "sg:person.013126451557.87",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013126451557.87"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Quality Technology & Mechanical Engineering, Mid Sweden University, \u00d6stersund, Sweden",
"id": "http://www.grid.ac/institutes/grid.29050.3e",
"name": [
"Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany",
"Department of Quality Technology & Mechanical Engineering, Mid Sweden University, \u00d6stersund, Sweden"
],
"type": "Organization"
},
"familyName": "Kurz",
"givenName": "Markus",
"id": "sg:person.012631626100.02",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012631626100.02"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute of Sport Science, The University of Oldenburg, Oldenburg, Germany",
"id": "http://www.grid.ac/institutes/grid.5560.6",
"name": [
"Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany",
"Institute of Sport Science, The University of Oldenburg, Oldenburg, Germany"
],
"type": "Organization"
},
"familyName": "Koopmann",
"givenName": "Till",
"id": "sg:person.07361221417.41",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07361221417.41"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Motesque Inc., Cologne, Germany",
"id": "http://www.grid.ac/institutes/None",
"name": [
"Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany",
"Motesque Inc., Cologne, Germany"
],
"type": "Organization"
},
"familyName": "Fohrmann",
"givenName": "Dominik",
"id": "sg:person.010735467546.11",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010735467546.11"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute of Exercise Training and Sport Informatics, German Sport University Cologne, Cologne, Germany",
"id": "http://www.grid.ac/institutes/grid.27593.3a",
"name": [
"Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany",
"Institute of Exercise Training and Sport Informatics, German Sport University Cologne, Cologne, Germany"
],
"type": "Organization"
},
"familyName": "Kantarev",
"givenName": "Artur",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany",
"id": "http://www.grid.ac/institutes/grid.27593.3a",
"name": [
"Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany"
],
"type": "Organization"
},
"familyName": "Kersting",
"givenName": "Uwe Gustav",
"id": "sg:person.0656432237.54",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0656432237.54"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1038/346265a0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019171485",
"https://doi.org/10.1038/346265a0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s40279-019-01087-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1112607222",
"https://doi.org/10.1007/s40279-019-01087-9"
],
"type": "CreativeWork"
}
],
"datePublished": "2021-01-26",
"datePublishedReg": "2021-01-26",
"description": "Treadmills are essential to the study of human and animal locomotion as well as for applied diagnostics in both sports and medicine. The quantification of relevant biomechanical and physiological variables requires a precise regulation of treadmill belt velocity (TBV). Here, we present a novel method for time-efficient tracking of TBV using standard 3D motion capture technology. Further, we analyzed TBV fluctuations of four different treadmills as seven participants walked and ran at target speeds ranging from 1.0 to 4.5\u00a0m/s. Using the novel method, we show that TBV regulation differs between treadmill types, and that certain features of TBV regulation are affected by the subjects\u2019 body mass and their locomotion speed. With higher body mass, the TBV reductions in the braking phase of stance became higher, even though this relationship differed between locomotion speeds and treadmill type (significant body mass \u00d7 speed \u00d7 treadmill type interaction). Average belt speeds varied between about 98 and 103% of the target speed. For three of the four treadmills, TBV reduction during the stance phase of running was more intense (>\u20095% target speed) and occurred earlier (before 50% of stance phase) unlike the typical overground center of mass velocity patterns reported in the literature. Overall, the results of this study emphasize the importance of monitoring TBV during locomotor research and applied diagnostics. We provide a novel method that is freely accessible on Matlab\u2019s file exchange server (\u201cgetBeltVelocity.m\u201d) allowing TBV tracking to become standard practice in locomotion research.",
"genre": "article",
"id": "sg:pub.10.1038/s41598-021-81951-9",
"inLanguage": "en",
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1045337",
"issn": [
"2045-2322"
],
"name": "Scientific Reports",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "11"
}
],
"keywords": [
"body mass",
"precise regulation",
"higher body mass",
"regulation",
"studies of humans",
"locomotion speed",
"animal locomotion",
"target speed",
"velocity fluctuations",
"treadmill belt velocity",
"novel method",
"braking phase",
"belt velocity",
"capture technology",
"belt speed",
"speed",
"physiological variables",
"humans",
"motion capture technology",
"types",
"locomotion",
"tracking",
"mass",
"patterns",
"locomotion research",
"velocity patterns",
"new method",
"stance phase",
"phase",
"importance",
"velocity",
"method",
"study",
"different treadmill",
"fluctuations",
"quantification",
"certain features",
"diagnostics",
"technology",
"reduction",
"relationship",
"effect",
"medicine",
"features",
"results",
"research",
"standard practice",
"variables",
"center",
"literature",
"server",
"Exchange Server",
"treadmill",
"practice",
"subjects",
"stance",
"sports",
"participants",
"treadmill type",
"applied diagnostics"
],
"name": "A new method for measuring treadmill belt velocity fluctuations: effects of treadmill type, body mass and locomotion speed",
"pagination": "2244",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1134852905"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/s41598-021-81951-9"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"33500528"
]
}
],
"sameAs": [
"https://doi.org/10.1038/s41598-021-81951-9",
"https://app.dimensions.ai/details/publication/pub.1134852905"
],
"sdDataset": "articles",
"sdDatePublished": "2022-06-01T22:24",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/article/article_895.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1038/s41598-021-81951-9"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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.10.1038/s41598-021-81951-9'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-021-81951-9'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-021-81951-9'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-021-81951-9'
This table displays all metadata directly associated to this object as RDF triples.
207 TRIPLES
22 PREDICATES
88 URIs
78 LITERALS
7 BLANK NODES
Subject | Predicate | Object | |
---|---|---|---|
1 | sg:pub.10.1038/s41598-021-81951-9 | schema:about | anzsrc-for:11 |
2 | ″ | ″ | anzsrc-for:1103 |
3 | ″ | schema:author | N5c1e03a53f334e39be31a18ef15ed8f1 |
4 | ″ | schema:citation | sg:pub.10.1007/s40279-019-01087-9 |
5 | ″ | ″ | sg:pub.10.1038/346265a0 |
6 | ″ | schema:datePublished | 2021-01-26 |
7 | ″ | schema:datePublishedReg | 2021-01-26 |
8 | ″ | schema:description | Treadmills are essential to the study of human and animal locomotion as well as for applied diagnostics in both sports and medicine. The quantification of relevant biomechanical and physiological variables requires a precise regulation of treadmill belt velocity (TBV). Here, we present a novel method for time-efficient tracking of TBV using standard 3D motion capture technology. Further, we analyzed TBV fluctuations of four different treadmills as seven participants walked and ran at target speeds ranging from 1.0 to 4.5 m/s. Using the novel method, we show that TBV regulation differs between treadmill types, and that certain features of TBV regulation are affected by the subjects’ body mass and their locomotion speed. With higher body mass, the TBV reductions in the braking phase of stance became higher, even though this relationship differed between locomotion speeds and treadmill type (significant body mass × speed × treadmill type interaction). Average belt speeds varied between about 98 and 103% of the target speed. For three of the four treadmills, TBV reduction during the stance phase of running was more intense (> 5% target speed) and occurred earlier (before 50% of stance phase) unlike the typical overground center of mass velocity patterns reported in the literature. Overall, the results of this study emphasize the importance of monitoring TBV during locomotor research and applied diagnostics. We provide a novel method that is freely accessible on Matlab’s file exchange server (“getBeltVelocity.m”) allowing TBV tracking to become standard practice in locomotion research. |
9 | ″ | schema:genre | article |
10 | ″ | schema:inLanguage | en |
11 | ″ | schema:isAccessibleForFree | true |
12 | ″ | schema:isPartOf | N1483796cd6494e13a50198eafd16a22a |
13 | ″ | ″ | N43818ee140fa406fbc7ff25a55e03243 |
14 | ″ | ″ | sg:journal.1045337 |
15 | ″ | schema:keywords | Exchange Server |
16 | ″ | ″ | animal locomotion |
17 | ″ | ″ | applied diagnostics |
18 | ″ | ″ | belt speed |
19 | ″ | ″ | belt velocity |
20 | ″ | ″ | body mass |
21 | ″ | ″ | braking phase |
22 | ″ | ″ | capture technology |
23 | ″ | ″ | center |
24 | ″ | ″ | certain features |
25 | ″ | ″ | diagnostics |
26 | ″ | ″ | different treadmill |
27 | ″ | ″ | effect |
28 | ″ | ″ | features |
29 | ″ | ″ | fluctuations |
30 | ″ | ″ | higher body mass |
31 | ″ | ″ | humans |
32 | ″ | ″ | importance |
33 | ″ | ″ | literature |
34 | ″ | ″ | locomotion |
35 | ″ | ″ | locomotion research |
36 | ″ | ″ | locomotion speed |
37 | ″ | ″ | mass |
38 | ″ | ″ | medicine |
39 | ″ | ″ | method |
40 | ″ | ″ | motion capture technology |
41 | ″ | ″ | new method |
42 | ″ | ″ | novel method |
43 | ″ | ″ | participants |
44 | ″ | ″ | patterns |
45 | ″ | ″ | phase |
46 | ″ | ″ | physiological variables |
47 | ″ | ″ | practice |
48 | ″ | ″ | precise regulation |
49 | ″ | ″ | quantification |
50 | ″ | ″ | reduction |
51 | ″ | ″ | regulation |
52 | ″ | ″ | relationship |
53 | ″ | ″ | research |
54 | ″ | ″ | results |
55 | ″ | ″ | server |
56 | ″ | ″ | speed |
57 | ″ | ″ | sports |
58 | ″ | ″ | stance |
59 | ″ | ″ | stance phase |
60 | ″ | ″ | standard practice |
61 | ″ | ″ | studies of humans |
62 | ″ | ″ | study |
63 | ″ | ″ | subjects |
64 | ″ | ″ | target speed |
65 | ″ | ″ | technology |
66 | ″ | ″ | tracking |
67 | ″ | ″ | treadmill |
68 | ″ | ″ | treadmill belt velocity |
69 | ″ | ″ | treadmill type |
70 | ″ | ″ | types |
71 | ″ | ″ | variables |
72 | ″ | ″ | velocity |
73 | ″ | ″ | velocity fluctuations |
74 | ″ | ″ | velocity patterns |
75 | ″ | schema:name | A new method for measuring treadmill belt velocity fluctuations: effects of treadmill type, body mass and locomotion speed |
76 | ″ | schema:pagination | 2244 |
77 | ″ | schema:productId | N3602137a011546938f7b8c8d9aad488a |
78 | ″ | ″ | N81ecad3478784d5bb9068a94118db8d4 |
79 | ″ | ″ | Ndda44ca375a74e47976887184d5ac630 |
80 | ″ | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1134852905 |
81 | ″ | ″ | https://doi.org/10.1038/s41598-021-81951-9 |
82 | ″ | schema:sdDatePublished | 2022-06-01T22:24 |
83 | ″ | schema:sdLicense | https://scigraph.springernature.com/explorer/license/ |
84 | ″ | schema:sdPublisher | N649243443dc44d7c9f526bc1b37da863 |
85 | ″ | schema:url | https://doi.org/10.1038/s41598-021-81951-9 |
86 | ″ | sgo:license | sg:explorer/license/ |
87 | ″ | sgo:sdDataset | articles |
88 | ″ | rdf:type | schema:ScholarlyArticle |
89 | N11187cbf4d2d41c186f9ea3edf52e77d | rdf:first | N8cf97fd31374408587e8faa1d815107c |
90 | ″ | rdf:rest | N49a024635c274342be23669c54e9a968 |
91 | N1483796cd6494e13a50198eafd16a22a | schema:volumeNumber | 11 |
92 | ″ | rdf:type | schema:PublicationVolume |
93 | N1df1bfc30f2946c2a0c071c8786c822e | rdf:first | sg:person.0664161767.02 |
94 | ″ | rdf:rest | N6421dad647a54dfe974f22a3c24ebbf4 |
95 | N3602137a011546938f7b8c8d9aad488a | schema:name | doi |
96 | ″ | schema:value | 10.1038/s41598-021-81951-9 |
97 | ″ | rdf:type | schema:PropertyValue |
98 | N43818ee140fa406fbc7ff25a55e03243 | schema:issueNumber | 1 |
99 | ″ | rdf:type | schema:PublicationIssue |
100 | N49a024635c274342be23669c54e9a968 | rdf:first | sg:person.0656432237.54 |
101 | ″ | rdf:rest | rdf:nil |
102 | N5c1e03a53f334e39be31a18ef15ed8f1 | rdf:first | sg:person.011304030103.46 |
103 | ″ | rdf:rest | N1df1bfc30f2946c2a0c071c8786c822e |
104 | N5e547bf2c41e4567bc7f32a3e6129350 | rdf:first | sg:person.012631626100.02 |
105 | ″ | rdf:rest | Nb1bee017c09143059588b2dcfbc24218 |
106 | N6421dad647a54dfe974f22a3c24ebbf4 | rdf:first | sg:person.012331071157.16 |
107 | ″ | rdf:rest | Nec902ae7e8b6438b90f82cc79148e6ce |
108 | N649243443dc44d7c9f526bc1b37da863 | schema:name | Springer Nature - SN SciGraph project |
109 | ″ | rdf:type | schema:Organization |
110 | N81ecad3478784d5bb9068a94118db8d4 | schema:name | pubmed_id |
111 | ″ | schema:value | 33500528 |
112 | ″ | rdf:type | schema:PropertyValue |
113 | N8cf97fd31374408587e8faa1d815107c | schema:affiliation | grid-institutes:grid.27593.3a |
114 | ″ | schema:familyName | Kantarev |
115 | ″ | schema:givenName | Artur |
116 | ″ | rdf:type | schema:Person |
117 | Na4baa5fa5c7b402db3994322c505131c | rdf:first | sg:person.010735467546.11 |
118 | ″ | rdf:rest | N11187cbf4d2d41c186f9ea3edf52e77d |
119 | Nb1bee017c09143059588b2dcfbc24218 | rdf:first | sg:person.07361221417.41 |
120 | ″ | rdf:rest | Na4baa5fa5c7b402db3994322c505131c |
121 | Ndda44ca375a74e47976887184d5ac630 | schema:name | dimensions_id |
122 | ″ | schema:value | pub.1134852905 |
123 | ″ | rdf:type | schema:PropertyValue |
124 | Nec902ae7e8b6438b90f82cc79148e6ce | rdf:first | sg:person.013126451557.87 |
125 | ″ | rdf:rest | N5e547bf2c41e4567bc7f32a3e6129350 |
126 | anzsrc-for:11 | schema:inDefinedTermSet | anzsrc-for: |
127 | ″ | schema:name | Medical and Health Sciences |
128 | ″ | rdf:type | schema:DefinedTerm |
129 | anzsrc-for:1103 | schema:inDefinedTermSet | anzsrc-for: |
130 | ″ | schema:name | Clinical Sciences |
131 | ″ | rdf:type | schema:DefinedTerm |
132 | sg:journal.1045337 | schema:issn | 2045-2322 |
133 | ″ | schema:name | Scientific Reports |
134 | ″ | schema:publisher | Springer Nature |
135 | ″ | rdf:type | schema:Periodical |
136 | sg:person.010735467546.11 | schema:affiliation | grid-institutes:None |
137 | ″ | schema:familyName | Fohrmann |
138 | ″ | schema:givenName | Dominik |
139 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010735467546.11 |
140 | ″ | rdf:type | schema:Person |
141 | sg:person.011304030103.46 | schema:affiliation | grid-institutes:grid.1003.2 |
142 | ″ | schema:familyName | Willwacher |
143 | ″ | schema:givenName | Steffen |
144 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011304030103.46 |
145 | ″ | rdf:type | schema:Person |
146 | sg:person.012331071157.16 | schema:affiliation | grid-institutes:grid.27593.3a |
147 | ″ | schema:familyName | Mai |
148 | ″ | schema:givenName | Patrick |
149 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012331071157.16 |
150 | ″ | rdf:type | schema:Person |
151 | sg:person.012631626100.02 | schema:affiliation | grid-institutes:grid.29050.3e |
152 | ″ | schema:familyName | Kurz |
153 | ″ | schema:givenName | Markus |
154 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012631626100.02 |
155 | ″ | rdf:type | schema:Person |
156 | sg:person.013126451557.87 | schema:affiliation | grid-institutes:grid.27593.3a |
157 | ″ | schema:familyName | Mählich |
158 | ″ | schema:givenName | Daniela |
159 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013126451557.87 |
160 | ″ | rdf:type | schema:Person |
161 | sg:person.0656432237.54 | schema:affiliation | grid-institutes:grid.27593.3a |
162 | ″ | schema:familyName | Kersting |
163 | ″ | schema:givenName | Uwe Gustav |
164 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0656432237.54 |
165 | ″ | rdf:type | schema:Person |
166 | sg:person.0664161767.02 | schema:affiliation | grid-institutes:grid.440934.e |
167 | ″ | schema:familyName | Oberländer |
168 | ″ | schema:givenName | Kai Daniel |
169 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0664161767.02 |
170 | ″ | rdf:type | schema:Person |
171 | sg:person.07361221417.41 | schema:affiliation | grid-institutes:grid.5560.6 |
172 | ″ | schema:familyName | Koopmann |
173 | ″ | schema:givenName | Till |
174 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07361221417.41 |
175 | ″ | rdf:type | schema:Person |
176 | sg:pub.10.1007/s40279-019-01087-9 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1112607222 |
177 | ″ | ″ | https://doi.org/10.1007/s40279-019-01087-9 |
178 | ″ | rdf:type | schema:CreativeWork |
179 | sg:pub.10.1038/346265a0 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1019171485 |
180 | ″ | ″ | https://doi.org/10.1038/346265a0 |
181 | ″ | rdf:type | schema:CreativeWork |
182 | grid-institutes:None | schema:alternateName | Motesque Inc., Cologne, Germany |
183 | ″ | schema:name | Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany |
184 | ″ | ″ | Motesque Inc., Cologne, Germany |
185 | ″ | rdf:type | schema:Organization |
186 | grid-institutes:grid.1003.2 | schema:alternateName | School of Human Movement and Nutrition Sciences, The University of Queensland, St Lucia, QLD, Australia |
187 | ″ | schema:name | Department of Mechanical and Process Engineering, Offenburg University of Applied Sciences, Badstraße 24, 77652, Offenburg, Germany |
188 | ″ | ″ | Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany |
189 | ″ | ″ | School of Human Movement and Nutrition Sciences, The University of Queensland, St Lucia, QLD, Australia |
190 | ″ | rdf:type | schema:Organization |
191 | grid-institutes:grid.27593.3a | schema:alternateName | Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany |
192 | ″ | ″ | Institute of Exercise Training and Sport Informatics, German Sport University Cologne, Cologne, Germany |
193 | ″ | schema:name | Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany |
194 | ″ | ″ | Institute of Exercise Training and Sport Informatics, German Sport University Cologne, Cologne, Germany |
195 | ″ | rdf:type | schema:Organization |
196 | grid-institutes:grid.29050.3e | schema:alternateName | Department of Quality Technology & Mechanical Engineering, Mid Sweden University, Östersund, Sweden |
197 | ″ | schema:name | Department of Quality Technology & Mechanical Engineering, Mid Sweden University, Östersund, Sweden |
198 | ″ | ″ | Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany |
199 | ″ | rdf:type | schema:Organization |
200 | grid-institutes:grid.440934.e | schema:alternateName | Hochschule Fresenius, Cologne, Germany |
201 | ″ | schema:name | Hochschule Fresenius, Cologne, Germany |
202 | ″ | ″ | Motesque Inc., Cologne, Germany |
203 | ″ | rdf:type | schema:Organization |
204 | grid-institutes:grid.5560.6 | schema:alternateName | Institute of Sport Science, The University of Oldenburg, Oldenburg, Germany |
205 | ″ | schema:name | Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany |
206 | ″ | ″ | Institute of Sport Science, The University of Oldenburg, Oldenburg, Germany |
207 | ″ | rdf:type | schema:Organization |