Biomechanical Model of Hurdle Clearance in 100m Hurdle Races: A Case Study by Milan Coh, Milan Zvan, Nejc Boncina, Stanko Stuhec

“…The purpose of the study was to identify and analyze the biomechanical structure of the hurdle clearance of the sixth hurdle in the 100-m hurdle race of Sally Pearson, the Olympic and world champion. …”
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Struktura makrocyklu treningowego w biegu na 100 m przez płotki = The structure of the training macrocycle in the 100 m hurdles by Maria Kamrowska-Nowak, Krzysztof Byzdra, Robert Stępniak

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Structural Analysis of Women’s Heptathlon by Freya Gassmann, Michael Fröhlich, Eike Emrich

“…Furthermore, 21% to 48% of the variance of the sum of points can be attributed to the performances in the disciplines of long jump, 200 m sprint, 100 m hurdles, and high jump. To balance the effects of the single disciplines in the heptathlon, the formula to calculate points should be reevaluated.…”
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Electronic Forecasting of Women's Jumping Events using Neural Networks by Fares Ahmed, Aida Muhammad, Hala Fathi

“…The data represent the first three winners in running competition for (100 m., 200 m., 400 m., 100 m. Hurdles, 400 m. Hurdles, 4×100 Relay, 4×400 Relay), The prepared programs for this research has been done C++.  …”
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Relation between Start Reaction Time and Performance Time among Women Finalist Sprinters in the Olympic Games 2000 to 2020 by Bandyopadhyay Nita, Ankur Ankur

“…The current analysis concludes that there was a low positive relationship between reaction time and performance time of the finalist women sprinters only in sprint events of 100m and 100m hurdles during 2000 to 2020 Olympics, and the majority of the finalists belonged to the ‘Average’ category as per Gaval’a 5-point scale. …”
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The potential impact of advanced footwear technology on the recent evolution of elite sprint performances by Joel Mason, Dominik Niedziela, Jean-Benoit Morin, Andreas Groll, Astrid Zech

“…In the second analysis, multiple linear mixed model regressions revealed that the use of AFT was associated with improved performance in six out of ten events, including the men’s and women’s 100 m, women’s 200 m, men’s 110 m hurdles, women’s 100 m hurdles and women’s 400 m hurdles (estimate range: −0.037 – 0.521, p = <0.001 – 0.021). …”
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