Signal characteristics of EMG during fatigue View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1977-06

AUTHORS

Jukka H. T. Viitasalo, Paavo V. Komi

ABSTRACT

Electromyographic (EMG) activity of m. rectus femoris muscle was registered from young male and female subjects during maintained isometric knee extension at 60% of maximal voluntary contraction. The following EMG parameters were analyzed for the entire fatigue time: integrated EMG (IEMG), averaged motor unit potential (AMUP) and power spectral density function (PSDF). The results indicated a slight but continuous rise of IEMG during the fatigue period. AMUP showed sensitivity to fatigue with increase in amplitude, rise time, and number of spikes counted. PSDF was also easily affected by fatigue so that the total power density curve was shifted towards lower frequencies with a high frequency decay. The mean power frequency decreased linearily as a function of fatigue time. The findings suggest that in addition to natural recruitment of new motor units the fatigue is characterized by marked reduction in the conduction velocities of action potential along the used muscle fibers. More... »

PAGES

111-121

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00421697

DOI

http://dx.doi.org/10.1007/bf00421697

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011106507

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/902652


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/2008/1116", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical Physiology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Action Potentials", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adolescent", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Electromyography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fatigue", 
        "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": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Membrane Potentials", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Muscle Contraction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Muscles", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Kinesiology Laboratory, Department of Biology of Physical Activity, University of Jyv\u00c4skyl\u00c4, SF-40100, Jyv\u00c4skyl\u00c4 10, Finland", 
          "id": "http://www.grid.ac/institutes/grid.9681.6", 
          "name": [
            "Kinesiology Laboratory, Department of Biology of Physical Activity, University of Jyv\u00c4skyl\u00c4, SF-40100, Jyv\u00c4skyl\u00c4 10, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Viitasalo", 
        "givenName": "Jukka H. T.", 
        "id": "sg:person.073330170.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.073330170.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kinesiology Laboratory, Department of Biology of Physical Activity, University of Jyv\u00c4skyl\u00c4, SF-40100, Jyv\u00c4skyl\u00c4 10, Finland", 
          "id": "http://www.grid.ac/institutes/grid.9681.6", 
          "name": [
            "Kinesiology Laboratory, Department of Biology of Physical Activity, University of Jyv\u00c4skyl\u00c4, SF-40100, Jyv\u00c4skyl\u00c4 10, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Komi", 
        "givenName": "Paavo V.", 
        "id": "sg:person.01173637767.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01173637767.38"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "1977-06", 
    "datePublishedReg": "1977-06-01", 
    "description": "Electromyographic (EMG) activity of m. rectus femoris muscle was registered from young male and female subjects during maintained isometric knee extension at 60% of maximal voluntary contraction. The following EMG parameters were analyzed for the entire fatigue time: integrated EMG (IEMG), averaged motor unit potential (AMUP) and power spectral density function (PSDF). The results indicated a slight but continuous rise of IEMG during the fatigue period. AMUP showed sensitivity to fatigue with increase in amplitude, rise time, and number of spikes counted. PSDF was also easily affected by fatigue so that the total power density curve was shifted towards lower frequencies with a high frequency decay. The mean power frequency decreased linearily as a function of fatigue time. The findings suggest that in addition to natural recruitment of new motor units the fatigue is characterized by marked reduction in the conduction velocities of action potential along the used muscle fibers.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/bf00421697", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1319730", 
        "issn": [
          "1439-6319", 
          "1432-1025"
        ], 
        "name": "European Journal of Applied Physiology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "37"
      }
    ], 
    "keywords": [
      "maximal voluntary contraction", 
      "rectus femoris muscle", 
      "motor unit potentials", 
      "isometric knee extension", 
      "new motor units", 
      "mean power frequency", 
      "electromyographic activity", 
      "voluntary contraction", 
      "conduction velocity", 
      "knee extension", 
      "femoris muscle", 
      "unit potentials", 
      "EMG parameters", 
      "action potentials", 
      "motor units", 
      "female subjects", 
      "marked reduction", 
      "muscle fibers", 
      "fatigue time", 
      "number of spikes", 
      "EMG", 
      "fatigue", 
      "fatigue period", 
      "iEMG", 
      "muscle", 
      "continuous rise", 
      "contraction", 
      "power frequency", 
      "subjects", 
      "low frequency", 
      "findings", 
      "recruitment", 
      "function", 
      "frequency", 
      "time", 
      "period", 
      "activity", 
      "spikes", 
      "sensitivity", 
      "increase", 
      "potential", 
      "reduction", 
      "signal characteristics", 
      "addition", 
      "number", 
      "units", 
      "fibers", 
      "curves", 
      "rise", 
      "results", 
      "characteristics", 
      "amplitude", 
      "density curves", 
      "parameters", 
      "extension", 
      "frequency decay", 
      "velocity", 
      "power spectral density function", 
      "decay", 
      "power density curves", 
      "spectral density function", 
      "high-frequency decay", 
      "density function", 
      "natural recruitment"
    ], 
    "name": "Signal characteristics of EMG during fatigue", 
    "pagination": "111-121", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1011106507"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf00421697"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "902652"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf00421697", 
      "https://app.dimensions.ai/details/publication/pub.1011106507"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-10-01T06:26", 
    "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_119.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/bf00421697"
  }
]
 

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/bf00421697'

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/bf00421697'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00421697'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00421697'


 

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

176 TRIPLES      20 PREDICATES      101 URIs      93 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf00421697 schema:about N016339f6c917403fa818d369b8e9cd03
2 N2aad94404fb7416caf033e4e8738b7ae
3 N2c245479a4a14b818b8df71d24e30e20
4 N2e8e20c37d50404bb129b13e63f7549e
5 N31a657f07ad84508a3c67745d37581cd
6 N3f87e1e9b19a4254ada770688c52c90e
7 N729c2d475fc3454e919698a42ae03d5d
8 N804cfba310d04deebd856951406e7334
9 Na26f9882fa1f4dab96d102c47732415b
10 Nbe7a065c1c6d4a83beaae7900cf13459
11 Nbfe0be6d3a344fbb9aad728bceb3067b
12 anzsrc-for:11
13 anzsrc-for:1116
14 schema:author N859169f871ca43a9bc8cbad3cb551482
15 schema:datePublished 1977-06
16 schema:datePublishedReg 1977-06-01
17 schema:description Electromyographic (EMG) activity of m. rectus femoris muscle was registered from young male and female subjects during maintained isometric knee extension at 60% of maximal voluntary contraction. The following EMG parameters were analyzed for the entire fatigue time: integrated EMG (IEMG), averaged motor unit potential (AMUP) and power spectral density function (PSDF). The results indicated a slight but continuous rise of IEMG during the fatigue period. AMUP showed sensitivity to fatigue with increase in amplitude, rise time, and number of spikes counted. PSDF was also easily affected by fatigue so that the total power density curve was shifted towards lower frequencies with a high frequency decay. The mean power frequency decreased linearily as a function of fatigue time. The findings suggest that in addition to natural recruitment of new motor units the fatigue is characterized by marked reduction in the conduction velocities of action potential along the used muscle fibers.
18 schema:genre article
19 schema:isAccessibleForFree false
20 schema:isPartOf Nc7650f04f2e94f4fba4ea43858430358
21 Ne38418f4484744e38f37f14d86ca41ca
22 sg:journal.1319730
23 schema:keywords EMG
24 EMG parameters
25 action potentials
26 activity
27 addition
28 amplitude
29 characteristics
30 conduction velocity
31 continuous rise
32 contraction
33 curves
34 decay
35 density curves
36 density function
37 electromyographic activity
38 extension
39 fatigue
40 fatigue period
41 fatigue time
42 female subjects
43 femoris muscle
44 fibers
45 findings
46 frequency
47 frequency decay
48 function
49 high-frequency decay
50 iEMG
51 increase
52 isometric knee extension
53 knee extension
54 low frequency
55 marked reduction
56 maximal voluntary contraction
57 mean power frequency
58 motor unit potentials
59 motor units
60 muscle
61 muscle fibers
62 natural recruitment
63 new motor units
64 number
65 number of spikes
66 parameters
67 period
68 potential
69 power density curves
70 power frequency
71 power spectral density function
72 recruitment
73 rectus femoris muscle
74 reduction
75 results
76 rise
77 sensitivity
78 signal characteristics
79 spectral density function
80 spikes
81 subjects
82 time
83 unit potentials
84 units
85 velocity
86 voluntary contraction
87 schema:name Signal characteristics of EMG during fatigue
88 schema:pagination 111-121
89 schema:productId N2d802a69d5df4cf38bdef82dbb71f736
90 Nc35821c63ff142d494e76f1b3a165a36
91 Ne63b634532f74c31b5f22685a80e0df3
92 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011106507
93 https://doi.org/10.1007/bf00421697
94 schema:sdDatePublished 2022-10-01T06:26
95 schema:sdLicense https://scigraph.springernature.com/explorer/license/
96 schema:sdPublisher N8bd48c39b96d4d1183e37a2ff06730ad
97 schema:url https://doi.org/10.1007/bf00421697
98 sgo:license sg:explorer/license/
99 sgo:sdDataset articles
100 rdf:type schema:ScholarlyArticle
101 N016339f6c917403fa818d369b8e9cd03 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Membrane Potentials
103 rdf:type schema:DefinedTerm
104 N2aad94404fb7416caf033e4e8738b7ae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Child
106 rdf:type schema:DefinedTerm
107 N2c245479a4a14b818b8df71d24e30e20 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Electromyography
109 rdf:type schema:DefinedTerm
110 N2d802a69d5df4cf38bdef82dbb71f736 schema:name dimensions_id
111 schema:value pub.1011106507
112 rdf:type schema:PropertyValue
113 N2e8e20c37d50404bb129b13e63f7549e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Muscle Contraction
115 rdf:type schema:DefinedTerm
116 N31a657f07ad84508a3c67745d37581cd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Humans
118 rdf:type schema:DefinedTerm
119 N3f87e1e9b19a4254ada770688c52c90e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Adolescent
121 rdf:type schema:DefinedTerm
122 N729c2d475fc3454e919698a42ae03d5d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Fatigue
124 rdf:type schema:DefinedTerm
125 N804cfba310d04deebd856951406e7334 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Female
127 rdf:type schema:DefinedTerm
128 N859169f871ca43a9bc8cbad3cb551482 rdf:first sg:person.073330170.45
129 rdf:rest Na79a4fb3066343089da3d51a97485da8
130 N8bd48c39b96d4d1183e37a2ff06730ad schema:name Springer Nature - SN SciGraph project
131 rdf:type schema:Organization
132 Na26f9882fa1f4dab96d102c47732415b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Muscles
134 rdf:type schema:DefinedTerm
135 Na79a4fb3066343089da3d51a97485da8 rdf:first sg:person.01173637767.38
136 rdf:rest rdf:nil
137 Nbe7a065c1c6d4a83beaae7900cf13459 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Action Potentials
139 rdf:type schema:DefinedTerm
140 Nbfe0be6d3a344fbb9aad728bceb3067b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Male
142 rdf:type schema:DefinedTerm
143 Nc35821c63ff142d494e76f1b3a165a36 schema:name doi
144 schema:value 10.1007/bf00421697
145 rdf:type schema:PropertyValue
146 Nc7650f04f2e94f4fba4ea43858430358 schema:volumeNumber 37
147 rdf:type schema:PublicationVolume
148 Ne38418f4484744e38f37f14d86ca41ca schema:issueNumber 2
149 rdf:type schema:PublicationIssue
150 Ne63b634532f74c31b5f22685a80e0df3 schema:name pubmed_id
151 schema:value 902652
152 rdf:type schema:PropertyValue
153 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
154 schema:name Medical and Health Sciences
155 rdf:type schema:DefinedTerm
156 anzsrc-for:1116 schema:inDefinedTermSet anzsrc-for:
157 schema:name Medical Physiology
158 rdf:type schema:DefinedTerm
159 sg:journal.1319730 schema:issn 1432-1025
160 1439-6319
161 schema:name European Journal of Applied Physiology
162 schema:publisher Springer Nature
163 rdf:type schema:Periodical
164 sg:person.01173637767.38 schema:affiliation grid-institutes:grid.9681.6
165 schema:familyName Komi
166 schema:givenName Paavo V.
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01173637767.38
168 rdf:type schema:Person
169 sg:person.073330170.45 schema:affiliation grid-institutes:grid.9681.6
170 schema:familyName Viitasalo
171 schema:givenName Jukka H. T.
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.073330170.45
173 rdf:type schema:Person
174 grid-institutes:grid.9681.6 schema:alternateName Kinesiology Laboratory, Department of Biology of Physical Activity, University of JyvÄskylÄ, SF-40100, JyvÄskylÄ 10, Finland
175 schema:name Kinesiology Laboratory, Department of Biology of Physical Activity, University of JyvÄskylÄ, SF-40100, JyvÄskylÄ 10, Finland
176 rdf:type schema:Organization
 




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


...