Comment on: "Using Field Based Data to Model Sprint Track Cycling Performance"

被引：3
|
作者：
Douglas, Jamie [1 ,2 ]
机构：
[1] High Performance Sport New Zealand HPSNZ, Avantidrome, 15 Hanlin Rd, Cambridge 3283, New Zealand
[2] Cycling New Zealand, Cambridge, New Zealand
来源：
SPORTS MEDICINE-OPEN | 2021年 / 7卷 / 01期
关键词：
D O I：
10.1186/s40798-021-00348-0
中图分类号：
G8 [体育];
学科分类号：
04 ; 0403 ;
摘要：
引用
收藏
页数：2
相关论文
共 50 条
  • [21] Association and Predictive Ability of Jump Performance with Sprint Profile of Collegiate Track and Field Athletes
    Dietze-Hermosa, Martin
    Montalvo, Samuel
    Gonzalez, Matthew P.
    Rodriguez, Sergio
    Cubillos, Nicholas R.
    Dorgo, Sandor
    SPORTS BIOMECHANICS, 2021,
  • [22] Torque and power-velocity relationships in cycling: Relevance to track sprint performance in world-class cyclists
    Dorel, S
    Hautier, CA
    Rambaud, O
    Rouffet, D
    Van Praagh, E
    Lacour, JR
    Bourdin, M
    INTERNATIONAL JOURNAL OF SPORTS MEDICINE, 2005, 26 (09) : 739 - 746
  • [23] Sprint and jump performance are determined by localized BIA - an ecological study in track and field adolescent athletes
    Oliveira, Nubia Maria
    Lazari, Evandro
    Matias, Catarina Nunes
    Guerra-Junior, Gil
    Goncalves, Ezequiel Moreira
    BMC SPORTS SCIENCE MEDICINE AND REHABILITATION, 2024, 16 (01):
  • [24] PREDICTION OF 100 METERS SPRINT PERFORMANCE BASED ON FIELD TEST
    Andrade, Rodrigo Maciel
    Figueira Junior, Aylton Jose
    Amadio, Alberto Carlos
    Serrao, Julio Cerca
    REVISTA BRASILEIRA DE MEDICINA DO ESPORTE, 2019, 25 (04) : 349 - 353
  • [25] Model of 30-s sprint cycling performance: Don't forget the aerobic contribution!
    Ferguson, Hamish A.
    Zhou, Tony
    Harnish, Chris
    Chase, J. Geoffrey
    IFAC PAPERSONLINE, 2021, 54 (15): : 316 - 321
  • [26] Analysis of Big Data Behavior in Sports Track and Field Based on Machine Learning Model
    Lin, Qiuping
    Dong, Xiaoxue
    Li, Minglun
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [27] Analysis of Big Data Behavior in Sports Track and Field Based on Machine Learning Model
    Lin, Qiuping
    Dong, Xiaoxue
    Li, Minglun
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [28] Uncovering Success Patterns in Track Cycling: Integrating Performance Data with Coaches and Athletes' Perspectives
    Cesanelli, Leonardo
    Lagoute, Thomas
    Ylaite, Berta
    Calleja-Gonzalez, Julio
    Fernandez-Pena, Eneko
    Satkunskiene, Danguole
    Leite, Nuno
    Venckunas, Tomas
    APPLIED SCIENCES-BASEL, 2024, 14 (07):
  • [29] Real-time track cycling performance prediction using ANFIS system
    Sudin, Sukhairi
    Shakaff, Ali Yeon Md
    Zakaria, Ammar
    Salleh, Ahmad Faizal
    Kamarudin, Latifah Munirah
    Azmi, Noraini
    Saad, Fathinul Syahir Ahmad
    INTERNATIONAL JOURNAL OF PERFORMANCE ANALYSIS IN SPORT, 2018, 18 (05) : 806 - 822
  • [30] Building an Interpretable Model of Predicting Student Performance Using Comment Data Mining
    Sorour, Shaymaa E.
    Mine, Tsunenori
    PROCEEDINGS 2016 5TH IIAI INTERNATIONAL CONGRESS ON ADVANCED APPLIED INFORMATICS IIAI-AAI 2016, 2016, : 285 - 291
12345