tag:blogger.com,1999:blog-1721936663537182702.post2964550863909967962..comments2023-04-15T16:25:27.142+02:00Comments on Complementary Training: Random thought - Differences between locomotor profile in running and biking, or Power vs Velocity profilingMladen Jovanovićhttp://www.blogger.com/profile/10496128173509866986noreply@blogger.comBlogger4125tag:blogger.com,1999:blog-1721936663537182702.post-51744888768382713192013-11-01T08:59:55.526+01:002013-11-01T08:59:55.526+01:00Hi Manuel,
Thank you very much for insightful ans...Hi Manuel,<br /><br />Thank you very much for insightful answer. <br /><br />One idea of application can be seen in CP/W' model and estimation of real time fatigue if MP gets to be proved valid and reliable. <br /><br />The validity of those methods should be done. One approach might be to use sub-MAS (sub-VO2max) activities (both constant speed and acc/decc) and see how does MP reading correlated with VO2 reading (taking into account lag time, that can be sorted out with smoothing power). <br /><br />Next step might me to check validity in supra-max activities (over VO2max) and that might involve looking for Accumulated Oxygen Deficit and MP output. <br /><br />Having these we can speak further regarding the reliability of the estimates/GPS in general and think of practical applications<br /><br />Thanks one more time for chiming in!<br />Mladen Jovanovićhttps://www.blogger.com/profile/10496128173509866986noreply@blogger.comtag:blogger.com,1999:blog-1721936663537182702.post-34222672624965565692013-10-29T17:39:18.023+01:002013-10-29T17:39:18.023+01:00Hi Mladen,
I see you have entered the metabolic po...Hi Mladen,<br />I see you have entered the metabolic power questions!<br />I have no data on cycling, but I have published on my blog some data on metabolic power calculations.<br />First, there's no only one approach to calculate Pmet: the known approach of Di Prampero, and that of Gray (PhD thesis). Basically, the Di Prampero approach "weights" more on acceleration, and Gray approach does it on speed. More data-time analysis gives very similar averages, but when you apply them to simple actions (as a sprint or similar), you see some big differences.<br />Both approaches are based on some assumptions that have to be assumed ... so we don't know "real" data, just "calculated" data.<br />What I have seen till the moment is that using Di Prampero approach, Pmet is higher when performing a maximum acceleration (around 6 m/s/s) than a maximum speed (around 32-33 km/h), all measured by GPS units during training or a game.<br />Important to know the algorithm used for the calculation, done that each brand uses some modify version of it, and also the original published in Osgnach et. al. 2010 is just "a general idea" of it, that needs to be tuned up.<br />As Jacob Gudiol has replied, the important question is how we are going to use it in order to modify our training sessions ...<br />By the way, great job with your blog, thank you!Anonymoushttps://www.blogger.com/profile/13810763002019755420noreply@blogger.comtag:blogger.com,1999:blog-1721936663537182702.post-42613515576233710132013-10-25T22:55:54.425+02:002013-10-25T22:55:54.425+02:00It might be... Using MP data and using MP based lo...It might be... Using MP data and using MP based locomotor profile (like shuttle run scores calculated in Power) as opposed to velocity calculations might yield more info for CODs sports. Time will tell. Thanks for chiming in! Mladen Jovanovićhttps://www.blogger.com/profile/10496128173509866986noreply@blogger.comtag:blogger.com,1999:blog-1721936663537182702.post-91631807514163458102013-10-25T22:20:17.799+02:002013-10-25T22:20:17.799+02:00I don't really have something you could call a...I don't really have something you could call an answer/reply to your final questions. But I can't help to think about the practical implications and if there really are any? Do you think that there can be any real implications from this in how you train? Not just how you test/evaluate (if there's such a test?)Jacob Gudiolhttps://www.blogger.com/profile/01796029192417249389noreply@blogger.com