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Effects of digital filtering on peak acceleration and force measurements for artistic gymnastics skills.

Author: BallNick, BradshawElizabeth J, CampbellRhiannon A, HunterAdam, SpratfordWayne

Journal ArticleAn article published in an academic or professional journal that reports original research or scholarly analysis.

Overview

This study investigated the optimal filter cut-off frequency for acceleration and force data during gymnastics landings. The results suggest that a minimum 85 Hz cut-off is optimal for research purposes, while for practical sports settings, no filtering may be necessary.
Paper Details　
Original Abstract of the Article :
Low-pass filters are ideal when filtering human movements, however the effectiveness of such filters relies on the correct selection of the cut-off frequency. The aim of this study was to determine the most appropriate filter cut-off for acceleration- and force-time data when measuring peak resultan...See full text at original site
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引用元：
https://doi.org/10.1080/02640414.2020.1757374

データ提供：米国国立医学図書館（NLM）

The Importance of Filtering in Gymnastics Biomechanics

Gymnastics is a sport that requires incredible athleticism and precision. This study investigates the impact of digital filtering on measurements of peak acceleration and force during gymnastics landings. Researchers explored the optimal cut-off frequency for filtering acceleration and force data, aiming to improve the accuracy of biomechanical analyses.

Finding the Right Filter for Gymnastics Data

The study revealed that a minimum cut-off frequency of 85 Hz was optimal for filtering acceleration and force data during gymnastics landings. This optimal cut-off frequency ensured the accuracy of peak acceleration and force measurements, which are crucial for understanding the biomechanics of gymnastics landings. This is like finding the perfect lens for a camera to capture the precise movements of gymnasts.

Improving Biomechanical Analyses in Gymnastics

This research is important for improving the accuracy of biomechanical analyses in gymnastics. By identifying the optimal cut-off frequency for filtering data, researchers can ensure more reliable and informative analyses, leading to better understanding of the forces and movements involved in gymnastics. This is like refining the tools used to study the intricate movements of gymnasts.

Dr.Camel's Conclusion

This research is like finding the perfect desert compass to navigate the complex world of biomechanical analysis in gymnastics. By identifying the optimal cut-off frequency for filtering data, researchers can ensure greater accuracy and reliability in their analyses, leading to a better understanding of the forces and movements involved in this demanding sport.

Date :
  1. Date Completed 2020-09-10
  2. Date Revised 2020-09-10
Further Info :

Pubmed ID

32329647

DOI: Digital Object Identifier

10.1080/02640414.2020.1757374

SNS
PICO Info
in preparation
Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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