The reliability of the slopes and y-intercepts of the motor unit firing times and action potential waveforms versus recruitment threshold ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2021-09-03

AUTHORS

Mandy E. Parra, Jonathan D. Miller, Adam J. Sterczala, Melani R. Kelly, Trent J. Herda

ABSTRACT

PurposeChanges in motor unit (MU) activity pre- to post-interventions is of high interest. However, there is minimal information regarding day-to-day changes or the reliability of measuring MU activity. This study examined the reliability of relationships calculated via the MU action potential (AP) trains derived from surface electromyography signal decomposition. A comparison between reliability statistics was made between MUAP trains verified with only the reconstruct-and-test versus verification including reconstruct-and-test with spike trigger average (STA) procedures.MethodsTwenty-one individuals performed isometric muscle actions at 50% of maximal voluntary contraction of the first dorsal interosseous on two separate visits. MUs included for reliability analyses initially met the > 90% accuracy from the reconstruct-and-test. STA was applied as an additional exclusionary procedure. Linear regressions were applied to the firing rate and AP amplitude versus recruitment threshold relationships with and without MUs that met the STA criteria. Reliability statistics were also performed on relationships that met a strict range of recruitment thresholds. Reliability was established with intraclass correlation coefficients (ICC) along with other traditional parameters.ResultsThe firing rate versus recruitment threshold relationships were reliable (ICC > 0.56) and improved (ICC > 0.84) when recruitment ranges were controlled. The slopes of the MUAP amplitude versus recruitment threshold relationships were reliable (ICC > 0.78) while the y-intercepts were reliable (ICC > 0.81) once corrections were made to combat negative scores.ConclusionsElectromyographic signal decomposition without the secondary STA verification procedures can be used to detect intervention-related changes in neural drive with confidence when recorded MU recruitment thresholds are similar across days. More... »

PAGES

3389-3398

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00421-021-04790-6

DOI

http://dx.doi.org/10.1007/s00421-021-04790-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1140867956

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/34477930


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/2008/11", 
        "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/2008/1109", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Neurosciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Action Potentials", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Electromyography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Isometric Contraction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Motor Neurons", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Muscle, Skeletal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Recruitment, Neurophysiological", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "School of Exercise and Sport Science, University of Mary Hardin-Baylor, Belton, TX, USA", 
          "id": "http://www.grid.ac/institutes/grid.441596.b", 
          "name": [
            "School of Exercise and Sport Science, University of Mary Hardin-Baylor, Belton, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Parra", 
        "givenName": "Mandy E.", 
        "id": "sg:person.016710260745.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016710260745.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Neuromechanics Laboratory, Department of Health, Sport and Exercise Sciences, University of Kansas, 1301 Sunnyside Avenue, Room 101BE, 66045, Lawrence, KS, USA", 
          "id": "http://www.grid.ac/institutes/grid.266515.3", 
          "name": [
            "Neuromechanics Laboratory, Department of Health, Sport and Exercise Sciences, University of Kansas, 1301 Sunnyside Avenue, Room 101BE, 66045, Lawrence, KS, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miller", 
        "givenName": "Jonathan D.", 
        "id": "sg:person.0621623763.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621623763.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Neuromuscular Research Laboratory, Department of Sports Medicine and Nutrition, University of Pittsburg, Pittsburgh, PA, USA", 
          "id": "http://www.grid.ac/institutes/grid.21925.3d", 
          "name": [
            "Neuromuscular Research Laboratory, Department of Sports Medicine and Nutrition, University of Pittsburg, Pittsburgh, PA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sterczala", 
        "givenName": "Adam J.", 
        "id": "sg:person.0757330614.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0757330614.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Human Performance Research Laboratory, Department of Exercise Science and Pre-Health Professions, Creighton University, Omaha, NE, USA", 
          "id": "http://www.grid.ac/institutes/grid.254748.8", 
          "name": [
            "Human Performance Research Laboratory, Department of Exercise Science and Pre-Health Professions, Creighton University, Omaha, NE, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kelly", 
        "givenName": "Melani R.", 
        "id": "sg:person.016211265764.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016211265764.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Neuromechanics Laboratory, Department of Health, Sport and Exercise Sciences, University of Kansas, 1301 Sunnyside Avenue, Room 101BE, 66045, Lawrence, KS, USA", 
          "id": "http://www.grid.ac/institutes/grid.266515.3", 
          "name": [
            "Neuromechanics Laboratory, Department of Health, Sport and Exercise Sciences, University of Kansas, 1301 Sunnyside Avenue, Room 101BE, 66045, Lawrence, KS, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Herda", 
        "givenName": "Trent J.", 
        "id": "sg:person.0727230544.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0727230544.89"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00221-020-05906-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1130338752", 
          "https://doi.org/10.1007/s00221-020-05906-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00421-019-04273-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1123312517", 
          "https://doi.org/10.1007/s00421-019-04273-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00421-018-3909-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104518760", 
          "https://doi.org/10.1007/s00421-018-3909-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1743-0003-10-99", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016278007", 
          "https://doi.org/10.1186/1743-0003-10-99"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2021-09-03", 
    "datePublishedReg": "2021-09-03", 
    "description": "PurposeChanges in motor unit (MU) activity pre- to post-interventions is of high interest. However, there is minimal information regarding day-to-day changes or the reliability of measuring MU activity. This study examined the reliability of relationships calculated via the MU action potential (AP) trains derived from surface electromyography signal decomposition. A comparison between reliability statistics was made between MUAP trains verified with only the reconstruct-and-test versus verification including reconstruct-and-test with spike trigger average (STA) procedures.MethodsTwenty-one individuals performed isometric muscle actions at 50% of maximal voluntary contraction of the first dorsal interosseous on two separate visits. MUs included for reliability analyses initially met the\u2009>\u200990% accuracy from the reconstruct-and-test. STA was applied as an additional exclusionary procedure. Linear regressions were applied to the firing rate and AP amplitude versus recruitment threshold relationships with and without MUs that met the STA criteria. Reliability statistics were also performed on relationships that met a strict range of recruitment thresholds. Reliability was established with intraclass correlation coefficients (ICC) along with other traditional parameters.ResultsThe firing rate versus recruitment threshold relationships were reliable (ICC\u2009>\u20090.56) and improved (ICC\u2009>\u20090.84) when recruitment ranges were controlled. The slopes of the MUAP amplitude versus recruitment threshold relationships were reliable (ICC\u2009>\u20090.78) while the y-intercepts were reliable (ICC\u2009>\u20090.81) once corrections were made to combat negative scores.ConclusionsElectromyographic signal decomposition without the secondary STA verification procedures can be used to detect intervention-related changes in neural drive with confidence when recorded MU recruitment thresholds are similar across days.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00421-021-04790-6", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1319730", 
        "issn": [
          "1439-6319", 
          "1432-1025"
        ], 
        "name": "European Journal of Applied Physiology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "121"
      }
    ], 
    "keywords": [
      "recruitment threshold relationship", 
      "intraclass correlation coefficient", 
      "maximal voluntary contraction", 
      "motor unit activity", 
      "isometric muscle actions", 
      "MU recruitment threshold", 
      "MU action potential trains", 
      "intervention-related changes", 
      "action potential waveform", 
      "first dorsal", 
      "voluntary contraction", 
      "neural drive", 
      "action potential trains", 
      "separate visits", 
      "recruitment threshold", 
      "motor units", 
      "unit activity", 
      "firing rate", 
      "muscle actions", 
      "mu activity", 
      "recruitment range", 
      "negative scores", 
      "potential waveform", 
      "threshold relationship", 
      "reliability statistics", 
      "y-intercept", 
      "days", 
      "linear regression", 
      "visits", 
      "traditional parameters", 
      "dorsal", 
      "MUAP trains", 
      "correlation coefficient", 
      "scores", 
      "test", 
      "procedure", 
      "mu", 
      "activity", 
      "contraction", 
      "PurposeChanges", 
      "day changes", 
      "minimal information", 
      "rate", 
      "regression", 
      "changes", 
      "relationship", 
      "individuals", 
      "recruitment", 
      "average procedure", 
      "MUAPs", 
      "criteria", 
      "study", 
      "action", 
      "AP", 
      "strict range", 
      "STA", 
      "statistics", 
      "threshold", 
      "reliability", 
      "correction", 
      "units", 
      "confidence", 
      "time", 
      "comparison", 
      "high interest", 
      "analysis", 
      "train", 
      "information", 
      "range", 
      "reconstruct", 
      "interest", 
      "slope", 
      "parameters", 
      "waveforms", 
      "accuracy", 
      "drive", 
      "reliability analysis", 
      "coefficient", 
      "verification procedure", 
      "verification", 
      "signal decomposition", 
      "decomposition"
    ], 
    "name": "The reliability of the slopes and y-intercepts of the motor unit firing times and action potential waveforms versus recruitment threshold relationships derived from surface electromyography signal decomposition", 
    "pagination": "3389-3398", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1140867956"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00421-021-04790-6"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "34477930"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00421-021-04790-6", 
      "https://app.dimensions.ai/details/publication/pub.1140867956"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-10-01T06:48", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_885.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00421-021-04790-6"
  }
]
 

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/s00421-021-04790-6'

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/s00421-021-04790-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00421-021-04790-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00421-021-04790-6'


 

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

240 TRIPLES      21 PREDICATES      122 URIs      110 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00421-021-04790-6 schema:about N041e60bd832b4abc9b7b37894061db68
2 N27c6bcf1d357460ebb1f64ad10c53545
3 N4b5c87a1f89c4aac89fd1c38446bfa4a
4 N4e0d4b9d19df4427ac77c126c691a934
5 N681710832b594f40a0f7eecdbe7d97db
6 N8a03d8afc022490ab88b75742086d697
7 N8b83daed5366407eaa1e85c7a708235f
8 N9775036e45ed455ebcee629aa1052316
9 N9eb0e0e53a2f4d2fb45606bb5572e266
10 Na666720fbb014b76922dc430b135d7a3
11 Na752c42436174cafa27eb2ac9d453471
12 anzsrc-for:11
13 anzsrc-for:1109
14 schema:author N13a1e630157b4922a280b823391791a7
15 schema:citation sg:pub.10.1007/s00221-020-05906-8
16 sg:pub.10.1007/s00421-018-3909-9
17 sg:pub.10.1007/s00421-019-04273-9
18 sg:pub.10.1186/1743-0003-10-99
19 schema:datePublished 2021-09-03
20 schema:datePublishedReg 2021-09-03
21 schema:description PurposeChanges in motor unit (MU) activity pre- to post-interventions is of high interest. However, there is minimal information regarding day-to-day changes or the reliability of measuring MU activity. This study examined the reliability of relationships calculated via the MU action potential (AP) trains derived from surface electromyography signal decomposition. A comparison between reliability statistics was made between MUAP trains verified with only the reconstruct-and-test versus verification including reconstruct-and-test with spike trigger average (STA) procedures.MethodsTwenty-one individuals performed isometric muscle actions at 50% of maximal voluntary contraction of the first dorsal interosseous on two separate visits. MUs included for reliability analyses initially met the > 90% accuracy from the reconstruct-and-test. STA was applied as an additional exclusionary procedure. Linear regressions were applied to the firing rate and AP amplitude versus recruitment threshold relationships with and without MUs that met the STA criteria. Reliability statistics were also performed on relationships that met a strict range of recruitment thresholds. Reliability was established with intraclass correlation coefficients (ICC) along with other traditional parameters.ResultsThe firing rate versus recruitment threshold relationships were reliable (ICC > 0.56) and improved (ICC > 0.84) when recruitment ranges were controlled. The slopes of the MUAP amplitude versus recruitment threshold relationships were reliable (ICC > 0.78) while the y-intercepts were reliable (ICC > 0.81) once corrections were made to combat negative scores.ConclusionsElectromyographic signal decomposition without the secondary STA verification procedures can be used to detect intervention-related changes in neural drive with confidence when recorded MU recruitment thresholds are similar across days.
22 schema:genre article
23 schema:isAccessibleForFree false
24 schema:isPartOf N3327e8b46ac84cc9bab8df23a570b26a
25 N97ec1b80e172452da22119909c17fc5a
26 sg:journal.1319730
27 schema:keywords AP
28 MU action potential trains
29 MU recruitment threshold
30 MUAP trains
31 MUAPs
32 PurposeChanges
33 STA
34 accuracy
35 action
36 action potential trains
37 action potential waveform
38 activity
39 analysis
40 average procedure
41 changes
42 coefficient
43 comparison
44 confidence
45 contraction
46 correction
47 correlation coefficient
48 criteria
49 day changes
50 days
51 decomposition
52 dorsal
53 drive
54 firing rate
55 first dorsal
56 high interest
57 individuals
58 information
59 interest
60 intervention-related changes
61 intraclass correlation coefficient
62 isometric muscle actions
63 linear regression
64 maximal voluntary contraction
65 minimal information
66 motor unit activity
67 motor units
68 mu
69 mu activity
70 muscle actions
71 negative scores
72 neural drive
73 parameters
74 potential waveform
75 procedure
76 range
77 rate
78 reconstruct
79 recruitment
80 recruitment range
81 recruitment threshold
82 recruitment threshold relationship
83 regression
84 relationship
85 reliability
86 reliability analysis
87 reliability statistics
88 scores
89 separate visits
90 signal decomposition
91 slope
92 statistics
93 strict range
94 study
95 test
96 threshold
97 threshold relationship
98 time
99 traditional parameters
100 train
101 unit activity
102 units
103 verification
104 verification procedure
105 visits
106 voluntary contraction
107 waveforms
108 y-intercept
109 schema:name The reliability of the slopes and y-intercepts of the motor unit firing times and action potential waveforms versus recruitment threshold relationships derived from surface electromyography signal decomposition
110 schema:pagination 3389-3398
111 schema:productId N4baf357207914ce2af7e196acd1b3d44
112 N7525fa52117e44218debb545870bdf08
113 Ncf38c036feea4779a08a613d1b191ab0
114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1140867956
115 https://doi.org/10.1007/s00421-021-04790-6
116 schema:sdDatePublished 2022-10-01T06:48
117 schema:sdLicense https://scigraph.springernature.com/explorer/license/
118 schema:sdPublisher N4368a09d21d34d99872ff77b97d2d935
119 schema:url https://doi.org/10.1007/s00421-021-04790-6
120 sgo:license sg:explorer/license/
121 sgo:sdDataset articles
122 rdf:type schema:ScholarlyArticle
123 N041e60bd832b4abc9b7b37894061db68 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Muscle, Skeletal
125 rdf:type schema:DefinedTerm
126 N13a1e630157b4922a280b823391791a7 rdf:first sg:person.016710260745.69
127 rdf:rest N8850c120e19f4698b3876d39a7a96bff
128 N27c6bcf1d357460ebb1f64ad10c53545 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Isometric Contraction
130 rdf:type schema:DefinedTerm
131 N3327e8b46ac84cc9bab8df23a570b26a schema:volumeNumber 121
132 rdf:type schema:PublicationVolume
133 N3da67e3209324505b956c46faa6c27f3 rdf:first sg:person.0727230544.89
134 rdf:rest rdf:nil
135 N4368a09d21d34d99872ff77b97d2d935 schema:name Springer Nature - SN SciGraph project
136 rdf:type schema:Organization
137 N4b5c87a1f89c4aac89fd1c38446bfa4a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Female
139 rdf:type schema:DefinedTerm
140 N4baf357207914ce2af7e196acd1b3d44 schema:name doi
141 schema:value 10.1007/s00421-021-04790-6
142 rdf:type schema:PropertyValue
143 N4e0d4b9d19df4427ac77c126c691a934 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Electromyography
145 rdf:type schema:DefinedTerm
146 N63a473b8ef56414b951dd1ef571a23e9 rdf:first sg:person.016211265764.32
147 rdf:rest N3da67e3209324505b956c46faa6c27f3
148 N681710832b594f40a0f7eecdbe7d97db schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Male
150 rdf:type schema:DefinedTerm
151 N7525fa52117e44218debb545870bdf08 schema:name dimensions_id
152 schema:value pub.1140867956
153 rdf:type schema:PropertyValue
154 N8850c120e19f4698b3876d39a7a96bff rdf:first sg:person.0621623763.41
155 rdf:rest Nefc15fcf0a904c5c81ecb260ff172585
156 N8a03d8afc022490ab88b75742086d697 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Reproducibility of Results
158 rdf:type schema:DefinedTerm
159 N8b83daed5366407eaa1e85c7a708235f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Humans
161 rdf:type schema:DefinedTerm
162 N9775036e45ed455ebcee629aa1052316 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Motor Neurons
164 rdf:type schema:DefinedTerm
165 N97ec1b80e172452da22119909c17fc5a schema:issueNumber 12
166 rdf:type schema:PublicationIssue
167 N9eb0e0e53a2f4d2fb45606bb5572e266 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Action Potentials
169 rdf:type schema:DefinedTerm
170 Na666720fbb014b76922dc430b135d7a3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
171 schema:name Recruitment, Neurophysiological
172 rdf:type schema:DefinedTerm
173 Na752c42436174cafa27eb2ac9d453471 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
174 schema:name Young Adult
175 rdf:type schema:DefinedTerm
176 Ncf38c036feea4779a08a613d1b191ab0 schema:name pubmed_id
177 schema:value 34477930
178 rdf:type schema:PropertyValue
179 Nefc15fcf0a904c5c81ecb260ff172585 rdf:first sg:person.0757330614.49
180 rdf:rest N63a473b8ef56414b951dd1ef571a23e9
181 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
182 schema:name Medical and Health Sciences
183 rdf:type schema:DefinedTerm
184 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
185 schema:name Neurosciences
186 rdf:type schema:DefinedTerm
187 sg:journal.1319730 schema:issn 1432-1025
188 1439-6319
189 schema:name European Journal of Applied Physiology
190 schema:publisher Springer Nature
191 rdf:type schema:Periodical
192 sg:person.016211265764.32 schema:affiliation grid-institutes:grid.254748.8
193 schema:familyName Kelly
194 schema:givenName Melani R.
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016211265764.32
196 rdf:type schema:Person
197 sg:person.016710260745.69 schema:affiliation grid-institutes:grid.441596.b
198 schema:familyName Parra
199 schema:givenName Mandy E.
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016710260745.69
201 rdf:type schema:Person
202 sg:person.0621623763.41 schema:affiliation grid-institutes:grid.266515.3
203 schema:familyName Miller
204 schema:givenName Jonathan D.
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621623763.41
206 rdf:type schema:Person
207 sg:person.0727230544.89 schema:affiliation grid-institutes:grid.266515.3
208 schema:familyName Herda
209 schema:givenName Trent J.
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0727230544.89
211 rdf:type schema:Person
212 sg:person.0757330614.49 schema:affiliation grid-institutes:grid.21925.3d
213 schema:familyName Sterczala
214 schema:givenName Adam J.
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0757330614.49
216 rdf:type schema:Person
217 sg:pub.10.1007/s00221-020-05906-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1130338752
218 https://doi.org/10.1007/s00221-020-05906-8
219 rdf:type schema:CreativeWork
220 sg:pub.10.1007/s00421-018-3909-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104518760
221 https://doi.org/10.1007/s00421-018-3909-9
222 rdf:type schema:CreativeWork
223 sg:pub.10.1007/s00421-019-04273-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1123312517
224 https://doi.org/10.1007/s00421-019-04273-9
225 rdf:type schema:CreativeWork
226 sg:pub.10.1186/1743-0003-10-99 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016278007
227 https://doi.org/10.1186/1743-0003-10-99
228 rdf:type schema:CreativeWork
229 grid-institutes:grid.21925.3d schema:alternateName Neuromuscular Research Laboratory, Department of Sports Medicine and Nutrition, University of Pittsburg, Pittsburgh, PA, USA
230 schema:name Neuromuscular Research Laboratory, Department of Sports Medicine and Nutrition, University of Pittsburg, Pittsburgh, PA, USA
231 rdf:type schema:Organization
232 grid-institutes:grid.254748.8 schema:alternateName Human Performance Research Laboratory, Department of Exercise Science and Pre-Health Professions, Creighton University, Omaha, NE, USA
233 schema:name Human Performance Research Laboratory, Department of Exercise Science and Pre-Health Professions, Creighton University, Omaha, NE, USA
234 rdf:type schema:Organization
235 grid-institutes:grid.266515.3 schema:alternateName Neuromechanics Laboratory, Department of Health, Sport and Exercise Sciences, University of Kansas, 1301 Sunnyside Avenue, Room 101BE, 66045, Lawrence, KS, USA
236 schema:name Neuromechanics Laboratory, Department of Health, Sport and Exercise Sciences, University of Kansas, 1301 Sunnyside Avenue, Room 101BE, 66045, Lawrence, KS, USA
237 rdf:type schema:Organization
238 grid-institutes:grid.441596.b schema:alternateName School of Exercise and Sport Science, University of Mary Hardin-Baylor, Belton, TX, USA
239 schema:name School of Exercise and Sport Science, University of Mary Hardin-Baylor, Belton, TX, USA
240 rdf:type schema:Organization
 




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


...