Your browser doesn't support javascript.
loading
Assessment of bike handling during cycling individual time trials with a novel analytical technique adapted from motorcycle racing.
Zignoli, Andrea; Biral, Francesco; Fornasiero, Alessandro; Sanders, Dajo; Erp, Teun Van; Mateo-March, Manuel; Fontana, Federico Y; Artuso, Paolo; Menaspà, Paolo; Quod, Marc; Giorgi, Andrea; Laursen, Paul B.
Afiliación
  • Zignoli A; Department of Industrial Engineering, University of Trento, Trento, Italy.
  • Biral F; Prom Facility, Trentino Sviluppo, Trento, Italy.
  • Fornasiero A; CeRiSM Research Centre, University of Verona, Trento, Italy.
  • Sanders D; Department of Industrial Engineering, University of Trento, Trento, Italy.
  • Erp TV; CeRiSM Research Centre, University of Verona, Trento, Italy.
  • Mateo-March M; Department of Human Movement Science, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands.
  • Fontana FY; Division of Orthopaedic Surgery, Department of Surgical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa.
  • Artuso P; Spanish Cycling Federation, Madrid, Spain.
  • Menaspà P; Movistar Team, Abarca Sports, Pamplona, Spain.
  • Quod M; Team Novo Nordisk professional cycling team, Atlanta, GA, USA.
  • Giorgi A; Team Bahrain McLaren, Manama, Bahrain.
  • Laursen PB; School of Medical and Health Sciences, Edith Cowan University, Perth, Australia.
Eur J Sport Sci ; 22(9): 1355-1363, 2022 Sep.
Article en En | MEDLINE | ID: mdl-34369299
A methodology to study bike handling of cyclists during individual time trials (ITT) is presented. Lateral and longitudinal accelerations were estimated from GPS data of professional cyclists (n = 53) racing in two ITT of different length and technical content. Acceleration points were plotted on a plot (g-g diagram) and they were enclosed in an ellipse. A correlation analysis was conducted between the area of the ellipse and the final ITT ranking. It was hypothesised that a larger area was associated with a better performance. An analytical model for the bike-cyclist system dynamics was used to conduct a parametric analysis on the influence of riding position on the shape of the g-g diagram. A moderate (n = 27, r = -0.40, p = 0.038) and a very large (n = 26, r = -0.83, p < 0.0001) association were found between the area of the enclosing ellipse and the final ranking in the two ITT. Interestingly, this association was larger in the shorter race with higher technical content. The analytical model suggested that maximal decelerations are highly influenced by the cycling position, road slope and speed. This investigation, for the first time, explores a novel methodology that can provide insights into bike handling, a large unexplored area of cycling performance.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ciclismo / Motocicletas Límite: Humans Idioma: En Revista: Eur J Sport Sci Año: 2022 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ciclismo / Motocicletas Límite: Humans Idioma: En Revista: Eur J Sport Sci Año: 2022 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Reino Unido