Co-authors Eli Mizelman (right) and David Clarke (left)


New method for detecting doping in cyclists

July 09, 2018

天天彩选四最新走势图 by Diane Mar-Nicolle

Athletes hoping to stay a step ahead of anti-doping science may have a new reason to be concerned.  SFU researcher David Clarke and his colleagues have devised a theoretical framework that could be used to detect cheaters.

Clarke, an assistant professor in the department of Biomedical Physiology and Kinesiology, has long been applying data-driven models to discover ways of improving exercise training for health, fitness, rehabilitation and performance.

Clarke’s newest research, published in the journal Frontiers in Physiology last month, looks at the dark side of performance enhancement.

To date, most anti-doping methods rely on testing athletes’ blood and urine for foreign substances and elevated ranges of naturally occurring hormones and blood markers. However, sophisticated tricks like micro-dosing over a period of time can provide a reliable disguise.

Clarke and his team suggest that using data from power meters in tandem with biological analysis may offer anti-doping agencies a fuller picture of an athlete’s abilities.

Power meters are a commonly used training tool used by competitive cyclists. Their data enable the estimation of the exercise intensity that an individual can sustain for an extended length of time, which is a parameter called Critical Power (CP).

A second parameter is the “work-above-threshold”, which is the amount of energy an athlete has available for exercise above their CP, such as in a maximal-effort sprint.

Clarke and his colleagues propose that physiologically unrealistic changes in these parameters can serve as evidence for doping, which could prompt anti-doping agencies to test the athlete under suspicion. They also argue that parameters also change in predictable ways to specific doping methods, thus providing clues regarding the nature of the doping agent.

While Clarke is optimistic that anti-doping detection approaches will eventually leverage performance data, he cautions that more work needs to be done. Procedures such as how the data would be collected from the cyclists remains an open question. In addition, the model on which the proposed approach is based is limited to relatively short-duration events and improved models capable of predicting performance in prolonged events such as cycling road races are needed.

Clarke’s team is working towards these goals with the hopes that the science of doping detection will improve with the use of athlete-monitoring technologies such as power meters.

  • 习近平:国企一定要改革,抱残守缺不行 2019-04-24
  • 新华时评:美逆潮流而动,必将付出代价 2019-04-24
  • 天津市侨商会完成换届选举工作 2019-04-23
  • 从副科开始,即使没有贪污、索贿、受贿的勾当,也有行贿买官的勾当。 2019-04-23
  • 公权者执行公务,不仅须要依法履职尽责,更须要克己奉公廉洁自律。 2019-04-22
  • 中国古人认定:从地里所生长出来的所有生命物体都是神恩赐给人类的,人类更需要寻找机会向神祈求恩赐才能足食丰衣。这也就是中国古人认定的一个人一生所应该有的幸福。 2019-04-22
  • 它不会比如何做好一餐饭的难度大,或者道理更多。 2019-04-22
  • 怎么还不见笑博士的正面回答呀?你或你老婆的“私房钱”,可是不能算着按劳分配的哟。按需分配、按劳分配,都是光明正大的原则哟!说说你的“按劳分配”嘛,而且你的这个“ 2019-04-21
  • 女子从小喜欢喝这种水 乳房里取出3条活虫 2019-04-21
  • 第十九届中共中央组织结构图 2019-04-21
  • 新华社受权播发《中华人民共和国监察法》 2019-04-20
  • 新零售下的老字号复兴 2019-04-20
  • 推进农村贫困人口白内障免费治疗 2019-04-19
  • 滥用添加剂,小心“网红馒头”变“网黑” 2019-04-19
  • 紫光阁中共中央国家机关工作委员会 2019-04-19
  • 885| 992| 159| 704| 557| 772| 503| 989| 872| 523|