tag:blogger.com,1999:blog-7494097266323039749.post5438091431680751091..comments2016-01-14T07:47:50.763-08:00Comments on Training and Racing With a Power Meter Journal: Fatigability and BMX performance at the Olympic levelHunterhttp://www.blogger.com/profile/10476979058435683579noreply@blogger.comBlogger5125tag:blogger.com,1999:blog-7494097266323039749.post-3988926453736348552015-02-22T06:44:13.295-08:002015-02-22T06:44:13.295-08:00love itlove itElijah Smithhttps://www.blogger.com/profile/18070025316364685083noreply@blogger.comtag:blogger.com,1999:blog-7494097266323039749.post-49708723457953849222011-12-24T22:11:26.385-08:002011-12-24T22:11:26.385-08:00Thank you for a well researched and written articl...Thank you for a well researched and written article. I have been looking at all the facets of BMX training. Obviously there are differing requirements when coming off a flat (ie. non SX hill). But the finding of those who had the least fatigue at the end were those who pedaled less is really interesting. Something I had never considered.Bruce Morrishttps://www.blogger.com/profile/03181401345829495282noreply@blogger.comtag:blogger.com,1999:blog-7494097266323039749.post-48966263013760277162010-05-20T17:55:08.842-07:002010-05-20T17:55:08.842-07:00OK, we have a new PPP :-)
Twitch potentiation: re...OK, we have a new PPP :-)<br /><br />Twitch potentiation: repeated motor nerve stimulation enhances the evoked mechanical response of the corresponding muscle, resulting in an increased twitch response*.<br /><br />IOW muscles can perform more forceful contractions after some initial NM stimulation, or not lose the contraction force ability over repeated efforts.<br /><br />Time lag on that? So would that also be related to track sprints/starts which are often performed at a higher power after one or two efforts have been done and separated by quite long breaks (compared to the relatively frequent NM efforts seen in BMX)?<br /><br />* Or the more formal definition: <br />touching the the TV remote control a couple of times results in the ability to make more forceful/rapid changes of channel as and when ad breaks drive you mad. :DAlex Simmonshttps://www.blogger.com/profile/00698332397074026424noreply@blogger.comtag:blogger.com,1999:blog-7494097266323039749.post-3661829356340644342010-05-20T08:54:21.334-07:002010-05-20T08:54:21.334-07:00Make that:
"The heart rate monitor is dead -...Make that:<br /><br />"The heart rate monitor is dead - long live the powermeter!" ;-)<br /><br />Re. your question: There is some variability in the 0.5 sec by 0.5 sec (really, revolution-by-revolution) SRM data, which is undoubtly of both technical and biological origin. Individual points can therefore exceed the line-of-best fit prediction just due to random chance, as you concluded. <br /><br />Other possible contributing factors could be 1) that the riders were more motivated when doing the full-lap TTs vs. just the "gate" and "first straight" efforts, and 2) twitch-potentiation (I'll let you look that up!)Andrew R. Coggan, Ph.D.https://www.blogger.com/profile/07152375621226680227noreply@blogger.comtag:blogger.com,1999:blog-7494097266323039749.post-56251074260671641452010-05-20T02:15:12.259-07:002010-05-20T02:15:12.259-07:00The power meter is dead. Long live the power meter...The power meter is dead. Long live the power meter. :D<br /><br />Great post guys. While much info from Quadrant Analysis is pretty self evident for many, I find the max CPV-AEPF stuff extra cool. I like the thought of taking this to show fatigue resistance.<br /><br />Where figure 2 show a rider exceeding their max CPV-AEPF, is that because the max CPV-AEPF is a line of best fit through sample start/sprint data?Alex Simmonshttps://www.blogger.com/profile/00698332397074026424noreply@blogger.com