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dc.contributor.authorCronin, Neilen_US
dc.contributor.authorCarty, Chrisen_US
dc.contributor.authorBarrett, Roden_US
dc.contributor.authorLichtwark, Glenen_US
dc.date.accessioned2017-05-03T13:05:35Z
dc.date.available2017-05-03T13:05:35Z
dc.date.issued2011en_US
dc.date.modified2012-03-02T04:49:21Z
dc.identifier.issn03636143en_US
dc.identifier.doi10.1152/japplphysiol.00530.2011en_US
dc.identifier.urihttp://hdl.handle.net/10072/43263
dc.description.abstractDuring human locomotion lower extremity muscle-tendon units undergo cyclic length changes that were previously assumed to be representative of muscle fascicle length changes. Measurements in cats and humans have since revealed that muscle fascicle length changes can be uncoupled from those of the muscle-tendon unit. Ultrasonography is frequently used to estimate fascicle length changes during human locomotion. Fascicle length analysis requires time consuming manual methods that are prone to human error and experimenter bias. To bypass these limitations, we have developed an automatic fascicle tracking method based on the Lucas-Kanade optical flow algorithm with an affine optic flow extension. The aims of this study were to compare gastrocnemius fascicle length changes during locomotion using the automated and manual approaches and to determine the repeatability of the automated approach. Ultrasound was used to examine gastrocnemius fascicle lengths in eight participants walking at 4, 5, 6, and 7 km/h and jogging at 7 km/h on a treadmill. Ground reaction forces and three dimensional kinematics were recorded simultaneously. The level of agreement between methods and the repeatability of the automated method were quantified using the coefficient of multiple correlation (CMC). Regardless of speed, the level of agreement between methods was high, with overall CMC values of 0.90 ᠰ.09 (95% CI: 0.86-0.95). Repeatability of the algorithm was also high, with an overall CMC of 0.88 ᠰ.08 (95% CI: 0.79-0.96). The automated fascicle tracking method presented here is a robust, reliable, and time-efficient alternative to the manual analysis of muscle fascicle length during gait.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.languageEnglishen_US
dc.publisherAmerican Physiological Societyen_US
dc.publisher.placeUnited Statesen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom1491en_US
dc.relation.ispartofpageto1496en_US
dc.relation.ispartofissue5en_US
dc.relation.ispartofjournalJournal of Applied Physiologyen_US
dc.relation.ispartofvolume111en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchBiomechanicsen_US
dc.subject.fieldofresearchcode110601en_US
dc.titleAutomatic tracking of medial gastrocnemius fascicle length during human locomotionen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Health, School of Allied Health Sciencesen_US
gro.rights.copyrightSelf-archiving of the author-manuscript version is not yet supported by this journal. Please refer to the journal link for access to the definitive, published version or contact the author[s] for more information.en_US
gro.date.issued2011
gro.hasfulltextNo Full Text


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