Navigating the Data Processing Maze: A Systematic Review of Jump Height Calculations Using Force Platforms.
Vertical jump height estimates the ability to oppose gravity and lower body neuromuscular performance in athletes and various clinical populations. The use of force platforms for measuring jump height is increasingly popular due to technological advancements and the equipment's relative ease of use...
| Publicado en: | European Journal of Sport Science Vol. 26; no. 3; pp. 1 - 22 |
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| Autores principales: | , , , , , , |
| Formato: | research systematic review tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Mar2026
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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=192092996&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 192092996 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17461391 IX3 jtl: European Journal of Sport Science issn: 17461391 maglogo: Y pubinfo: dt: Mar2026 vid: 26 iid: 3 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 192092996 192092996 192092996 10.1002/ejsc.70114 192092996 ppf: 1 ppct: 21 formats: tig: atl: Navigating the Data Processing Maze: A Systematic Review of Jump Height Calculations Using Force Platforms. aug: au: Eythorsdottir, Ingrid Gløersen, Øyvind Rice, Hannah Werkhausen, Amelie Ettema, Gertjan Solberg, Paul Paulsen, Gøran affil: Department of Physical Performance, Norwegian School of Sport Sciences, Oslo, Norway sug: subj: Athletes Jumping Physiology Ground Reaction Force Athletic Performance Evaluation Signal Processing, Computer Assisted Human Systematic Review PubMed Comparative Studies Biomechanics Bar Coding Exercise Test ab: Vertical jump height estimates the ability to oppose gravity and lower body neuromuscular performance in athletes and various clinical populations. The use of force platforms for measuring jump height is increasingly popular due to technological advancements and the equipment's relative ease of use in various settings. However, when utilizing the force platform, ground reaction force (GRF) data must be processed to calculate jump height. While processing the GRF‐time data, several factors could alter the data, leading to inaccurate jump height estimates. These factors include sampling frequency, filtering, cut‐off frequencies of the filter, averaging periods of body weight, integration procedures, selection of take‐off/landing thresholds, and selection of the gravity constant. These data processing steps can alter jump height estimates, with effects ranging from minor (< 0.5%) to major (> 25%). Despite some guidelines on data processing, there is no consistency in the literature or in practice regarding how the GRF‐time data should be processed. Consequently, jump height without specifying the data processing steps may be of limited use to others. The aim of this review was to assist researchers and practitioners in navigating the complexities of data processing to better understand how it influences jump height. Highlights: The influence of data processing in force platform‐based vertical jump tests is underrated in the sports performance literature.The data processing steps may introduce large errors, including up to 26% in jump height estimates from only filtering.Jump height values can be considered valid performance metrics only when the calculation equations and data processing steps are clearly reported. Without such, results are difficult to interpret and cannot be reliably compared across studies or systems. pubtype: Academic Journal doctype: research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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