Hi, >>> > for the MET depending for example on speed and incline (and these can >>> > be >>> > calculated from the GPS data). A quick search provided this: >>> > http://www.exrx.net/Calculators/WalkRunMETs.html >>> > >>> > This calculator demonstrates also that MET depends on speed and incline >>> > (grade). >>> > >>> > There is no formula written there, but it can be derived from the >>> > JavaScript >>> > code. I did not check the references he provides. Maybe a formula can >>> > be >>> > found there. >>> >>> It would be great if you can provide mentioned formula. >> >> I could. But there are some coefficients, which I do not know what they >> mean. Probably they are related to different systems of units (miles/km, >> etc.). If not really understanding such a formula, I would prefer not to >> introduce it into a software. I propose to ask the author of this website >> for a reference. > > I think the formula is just a linear interpolation of some known values. At > least I do not see any other reason for the coefficients to be like this. > > Here is a function calculating MET for running: > > def met_running(SpeedValue, Grade, NG): > SpeedUnit=16.6666 # if speed is given as km/h > #SpeedUnit=1 # if speed is given as m/min > Speed=SpeedValue*SpeedUnit > #NG=0 # 0 for new, 3.5 for gross > #FWVO= 21.11 - 0.3593 * Speed + 0.0030 * Speed * Speed + 0.018 * Grade * > Speed - 3.5 + NG > RVO= 0.2 * Speed + 0.009 * Grade * Speed + NG > MET = RVO/3.5 > return MET > > Using the following conversion function, we can illustrate this: > > def mph2kmh(mph): > return mph*1.60934 > > for mph in [4 .. 14]: > print mph, "\t", mph2kmh(mph), "\t", met_running(mph2kmh(mph), 0, 0) > > The result is: > > mph MET > > 4 6.13079452434286 > 5 7.66349315542857 > 6 9.19619178651429 > 7 10.7288904176000 > 8 12.2615890486857 > 9 13.7942876797714 > 10 15.3269863108571 > 11 16.8596849419429 > 12 18.3923835730286 > 13 19.9250822041143 > 14 21.4577808352000 > > For comparison, the values given at > https://sites.google.com/site/compendiumofphysicalactivities/Activity-Categories/running > are: > > > mph MET > 4 6.0 > 5 8.3 > 6 9.8 > 7 11.0 > 8 11.8 > 9 12.8 > 10 14.5 > 11 16.0 > 12 19.0 > 13 19.8 > 14 23.0 > > > There are differences, but roughly they coincide. Since two different > sources provide similar values, I guess one can believe roughly in these > values. > > Note that the above calculation is done with NG=0, which corresponds to > "net" on the form of the website. I am not sure what this means. > > > Please note the following line from > http://www.exrx.net/Calculators/walkrunmets.js > > <!-- Do not copy any part of this script without permission; James T. > Griffing, MS, BS; http://www.exrx.net //--><!-- > > > One should contact the author before implementing this in pytrainer. >
Thanks Skew41 for this. I have just opened #144 to file an official enhancement. NG stands for Net Energy and I guess it differs from gross (is the author german?) to highlight the difference with the Resting Metabolic Rate (energy which is consumed basically doing nothing). Not sure if I explained well myself... Regards, David ------------------------------------------------------------------------------ EMC VNX: the world's simplest storage, starting under $10K The only unified storage solution that offers unified management Up to 160% more powerful than alternatives and 25% more efficient. Guaranteed. http://p.sf.net/sfu/emc-vnx-dev2dev _______________________________________________ Pytrainer-devel mailing list Pytrainer-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytrainer-devel
