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Surfing the Waves of the CMJ: Are There between-Sport Differences in the Waveform Data?
Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, Rydberglaboratoriet för tillämpad naturvetenskap (RLAS). Högskolan i Halmstad, Akademin för hälsa och välfärd, Centrum för forskning om välfärd, hälsa och idrott (CVHI).ORCID-id: 0000-0003-1184-5036
Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, Rydberglaboratoriet för tillämpad naturvetenskap (RLAS). Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR Centrum för tillämpade intelligenta system (IS-lab).ORCID-id: 0000-0002-2513-3040
2018 (engelsk)Inngår i: Sports, E-ISSN 2075-4663, Vol. 6, nr 4, s. 1-12, artikkel-id 168Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The ability to analyse countermovement jump (CMJ) waveform data using statistical methods, like principal component analysis, can provide additional information regarding the different phases of the CMJ, compared to jump height or peak power alone. The aim of this study was to investigate the between-sport force-time curve differences in the CMJ. Eighteen high level golfers (male = 10, female = 8) and eighteen high level surfers (male = 10, female = 8) performed three separate countermovement jumps on a force platform. Time series of data from the force platform was normalized to body weight and each repetition was then normalized to 0–100 percent. Principal component analyses (PCA) were performed on force waveforms and the first six PCs explained 35% of the variance in force parameters. The main features of the movement cycles were characterized by magnitude (PC1 and PC5), waveform (PC2 and PC4), and phase shift features (PC3). Surf athletes differ in their CMJ technique and show a greater negative centre of mass displacement when compared to golfers (PC1), although these differences are not necessarily associated with greater jump height. Principal component 5 demonstrated the largest correlation with jump height (R2  = 0.52). Further studies are recommended in this area, to reveal which features of the CMJ thatrelate to jumping performance, and sport specific adaptations. © 2018 by the authors.

sted, utgiver, år, opplag, sider
Basel: MDPI, 2018. Vol. 6, nr 4, s. 1-12, artikkel-id 168
Emneord [en]
force-time, jump testing, kinetic assessment, principal component analysis, vertical jump
HSV kategori
Identifikatorer
URN: urn:nbn:se:hh:diva-38530DOI: 10.3390/sports6040168OAI: oai:DiVA.org:hh-38530DiVA, id: diva2:1269258
Forskningsfinansiär
Knowledge Foundation, 2012/0319Tilgjengelig fra: 2018-12-10 Laget: 2018-12-10 Sist oppdatert: 2018-12-10bibliografisk kontrollert

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