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.

  • 黄山市今天将有一次大到暴雨 20日起梅雨到来 2018-12-18
  • 郪江,隐藏在川东丘陵中的战国小镇文章中国国家地理网 2018-12-18
  • 司机未礼让行人被罚是一堂生动的普法课 2018-12-18
  • 热评丨游戏成瘾成疾 呼吁行业监管 2018-12-17
  • 文化山西:中国文明从这里开始 2018-12-17
  • 推进高质量发展 加快全面振兴——专访辽宁省委书记、省人大常委会主任陈求发 2018-12-16
  • 第五届网络视听大会开幕,四大发布助你把握行业动向 2018-12-16
  • 海军第27批护航编队结束对摩洛哥访问  2018-12-16
  • 中央环保督察“回头看”10省区问责630人 2018-12-15
  • 林芝市墨脱县“石锅之乡”见闻 2018-12-15
  • 男子儿子21年前被拐 为寻亲骑坏10辆摩托车 2018-12-14
  • 【理上网来·喜迎十九大】这五年,生态文明建设从理念到实践取得四大成就 2018-12-14
  • 梁翘柏晒与王菲合照 配文工作愉快引期待 2018-12-13
  • vivo X20 Plus开箱图赏:全球首款屏下指纹机大曝光 2018-12-13
  • 人民观影团:《恐袭波士顿》用爱来驱散暴恐阴霾 2018-12-13
  • 98| 297| 203| 249| 225| 565| 760| 800| 220| 788|