The X-Factor: An evaluation of common methods used to analyse major inter-segment kinematics during the golf swing.
A common biomechanical feature of a golf swing, described in various ways in the literature, is the interaction between the thorax and pelvis, often termed the X-Factor. There is no consistent method used within golf biomechanics literature however to calculate these segment interactions. The purpos...
| Publicado en: | Journal of Sports Sciences Vol. 31; no. 11; pp. 1156 - 1164 |
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| Autores principales: | , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Aug2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104179397&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104179397 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02640414 5BV jtl: Journal of Sports Sciences issn: 02640414 maglogo: Y pubinfo: dt: Aug2013 vid: 31 iid: 11 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 104179397 88116549 10.1080/02640414.2013.775474 NLM23463985 104179397 ppf: 1156 ppct: 8 formats: tig: atl: The X-Factor: An evaluation of common methods used to analyse major inter-segment kinematics during the golf swing. aug: au: Brown, Susan J. Selbie, W. Scott Wallace, Eric S. affil: Edinburgh Napier University , School of Life, Sport and Social Sciences , Sighthill Campus, Sighthill Court, Edinburgh , EH11 4BN , United Kingdom sug: subj: Golf Kinematics Pelvis Rotation Thorax Motion Analysis Systems Models, Theoretical Body Weights and Measures Methods Image Processing, Computer Assisted Comparative Studies Time Series Regression P-Value One-Way Analysis of Variance Data Analysis Software Post Hoc Analysis Adult Female Male Human Adult: 19-44 years Female Male ab: A common biomechanical feature of a golf swing, described in various ways in the literature, is the interaction between the thorax and pelvis, often termed the X-Factor. There is no consistent method used within golf biomechanics literature however to calculate these segment interactions. The purpose of this study was to examine X-factor data calculated using three reported methods in order to determine the similarity or otherwise of the data calculated using each method. A twelve-camera three-dimensional motion capture system was used to capture the driver swings of 19 participants and a subject specific three-dimensional biomechanical model was created with the position and orientation of each model estimated using a global optimisation algorithm. Comparison of the X-Factor methods showed significant differences for events during the swing (P < 0.05). Data for each kinematic measure were derived as a times series for all three methods and regression analysis of these data showed that whilst one method could be successfully mapped to another, the mappings between methods are subject dependent (P <0.05). Findings suggest that a consistent methodology considering the X-Factor from a joint angle approach is most insightful in describing a golf swing. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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