Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/50948
DC FieldValueLanguage
dc.contributor.authorIzquierdo, Mikelen_US
dc.contributor.authorGonzález-Izal, Miriamen_US
dc.contributor.authorNavarro-Amezqueta, Ionen_US
dc.contributor.authorCalbet, Jose A Len_US
dc.contributor.authorIbañez, Javieren_US
dc.contributor.authorMalanda, Armandoen_US
dc.contributor.authorMallor, Ferminen_US
dc.contributor.authorHäkkinen, Keijoen_US
dc.contributor.authorKraemer, William J.en_US
dc.contributor.authorGorostiaga, Esteban M.en_US
dc.contributor.otherIzquierdo, Mikel-
dc.contributor.otherCalbet, Jose A-
dc.contributor.otherMalanda, Armando-
dc.contributor.otherMallor, Fermin-
dc.date.accessioned2018-11-24T20:09:12Z-
dc.date.available2018-11-24T20:09:12Z-
dc.date.issued2011en_US
dc.identifier.issn0195-9131en_US
dc.identifier.urihttp://hdl.handle.net/10553/50948-
dc.description.abstractPurpose: This study examined the effects of heavy resistance training on the relationships between power loss and surface EMG (sEMG) indices and blood metabolite concentrations on dynamic exercise-induced fatigue with the same relative load as in pretraining. Methods: Twelve trained subjects performed five sets consisting of 10 repetitions in the leg press, with 2 min of rest between sets before and after a strength training period. sEMG variables (the mean average voltage, the median spectral frequency, and the Dimitrov spectral index of muscle fatigue) from vastus medialis and lateralis muscles and metabolic responses (i.e., blood lactate, uric acid, and ammonia concentrations) were measured. Results: The peak power loss after the posttraining protocol was greater (61%) than the decline observed in the pretraining protocol (46%). Similar sEMG changes were found for both protocols, whereas higher metabolic demand was observed during the posttraining exercise. The linear models on the basis of the relations found between power loss and changes in sEMG variables were significantly different between pretraining and posttraining, whereas the linear models on the basis of the relations between power loss and changes in blood metabolite concentrations were similar. Conclusions: Linear models that use blood metabolites to map acute exercise-induced peak power changes were more accurate in detecting these changes before and after a short-term training period, whereas an attempt to track peak power loss using sEMG variables may fail after a strength training period.en_US
dc.languageengen_US
dc.publisher0195-9131-
dc.relation.ispartofMedicine and Science in Sports and Exerciseen_US
dc.sourceMedicine and Science in Sports and Exercise[ISSN 0195-9131],v. 43, p. 303-311en_US
dc.subject241106 Fisiología del ejercicioen_US
dc.subject.otherSURFACE ELECTROMYOGRAPHYen_US
dc.subject.otherMEAN AVERAGE VOLTAGEen_US
dc.subject.otherPOWER OUTPUTen_US
dc.subject.otherNEUROMUSCULAR ADAPTATIONSen_US
dc.subject.otherDYNAMIC CONTRACTIONen_US
dc.titleEffects of strength training on muscle fatigue mapping from surface EMG and blood metabolitesen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1249/MSS.0b013e3181edfa96
dc.identifier.scopus78751641267-
dc.identifier.isi000286311100015-
dcterms.isPartOfMedicine And Science In Sports And Exercise-
dcterms.sourceMedicine And Science In Sports And Exercise[ISSN 0195-9131],v. 43 (2), p. 303-311-
dc.contributor.authorscopusid7103111881-
dc.contributor.authorscopusid26534133700-
dc.contributor.authorscopusid26534613900-
dc.contributor.authorscopusid7004323423-
dc.contributor.authorscopusid7101992335-
dc.contributor.authorscopusid6603295297-
dc.contributor.authorscopusid6602253029-
dc.contributor.authorscopusid7005347877-
dc.contributor.authorscopusid7102360794-
dc.contributor.authorscopusid35613757100-
dc.description.lastpage311-
dc.description.firstpage303-
dc.relation.volume43-
dc.investigacionCiencias de la Saluden_US
dc.type2Artículoen_US
dc.identifier.wosWOS:000286311100015-
dc.contributor.daisngid28917-
dc.contributor.daisngid1367229-
dc.contributor.daisngid4177329-
dc.contributor.daisngid90295-
dc.contributor.daisngid1411989
dc.contributor.daisngid2246962-
dc.contributor.daisngid734113-
dc.contributor.daisngid941041-
dc.contributor.daisngid38497-
dc.contributor.daisngid8431-
dc.contributor.daisngid488940-
dc.identifier.investigatorRIDA-4894-2010-
dc.identifier.investigatorRIDH-6693-2015-
dc.identifier.investigatorRIDNo ID-
dc.identifier.investigatorRIDNo ID-
dc.contributor.wosstandardWOS:Izquierdo, M
dc.contributor.wosstandardWOS:Gonzalez-Izal, M
dc.contributor.wosstandardWOS:Navarro-Amezqueta, I
dc.contributor.wosstandardWOS:Calbet, JAL
dc.contributor.wosstandardWOS:Ibanez, J
dc.contributor.wosstandardWOS:Malanda, A
dc.contributor.wosstandardWOS:Mallor, F
dc.contributor.wosstandardWOS:Hakkinen, K
dc.contributor.wosstandardWOS:Kraemer, WJ
dc.contributor.wosstandardWOS:Gorostiaga, EM
dc.date.coverdateFebrero 2011
dc.identifier.ulpgces
dc.description.sjr2,137
dc.description.jcr4,431
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR Grupo de Investigación en Acuicultura-
crisitem.author.deptIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.deptDepartamento de Biología-
crisitem.author.deptGIR IUIBS: Rendimiento humano, ejercicio físico y salud-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.deptDepartamento de Educación Física-
crisitem.author.orcid0000-0003-4297-210X-
crisitem.author.orcid0000-0002-9215-6234-
crisitem.author.parentorgIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.fullNameIzquierdo López, María Soledad-
crisitem.author.fullNameLópez Calbet, José Antonio-
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