8,101
edits
Changes
From Fellrnr.com, Running tips
no edit summary
This approach works well if you are using a [[Heart Rate Monitor]] that will display the times spent in each zone, but without transferring the details to a computer for more sophisticated analysis. However, there are some serious flaws in this technique. The most obvious is that a small change in heart rate could move from one zone to another, which could double the TRIMP<sup>zone</sup> score. The scaling factors are also linear, but moving from 50-60% HR<sub>max</sub> to 60-70% is far less than doubling the difficulty. By contrast, exercising at 100% rather than 90% is far harder than the 0.25 increase scaling factor would suggest. Finally, using %HRmax is inferior to using [[Heart Rate Reserve]].
=TRIMP<sup>exp</sup> Exponental Exponential Heart Rate Scaling=A more sophisticated approach uses [[Heart Rate Reserve]] and an exponential scaling factor to account for the fact that higher intensity training as a disproportionately high training impact<ref name="TRIMPeBanister1975"/><ref name="Desgorces-2007"/><ref name="Morton-1990"/>. The formula for calculating TRIMP<sup>exp</sup> is
TRIMP<sup>exp</sup> = sum(D x HR<sub>r</sub> x 0.64e<sup>y</sup>)
Where
<references>
<ref name="Edwards">The heart rate monitor book - Sally Edwards - Google Books http://books.google.com/books?id=ObUUAQAAMAAJ&source=gbs_slider_cls_metadata_9_mylibrary </ref>
<ref name="TRIMPeBanister1975">Modeling human Banister EW, Calvert TW, Savage MV, Bach A. A system model of training for athletic performance in running . Australian Journal of Sports Medicine. 1975;7:170–176.</ref><ref name="Desgorces-2007">FD. Desgorces, X. Sénégas, J. Garcia, L. Decker, P. Noirez, Methods to quantify intermittent exercises., Appl Physiol Nutr Metab, volume 32, issue 4, pages 762-9, Aug 2007, doi [http://japdx.physiologydoi.org/content10.1139/H07-037 10.1139/H07-037], PMID [http://www.ncbi.nlm.nih.gov/pubmed/17622291 17622291]</ref><ref name="Morton-1990">RH. Morton, JR. Fitz-Clarke, EW. Banister, Modeling human performance in running., J Appl Physiol (1985), volume 69, issue 3, pages 1171-7, Sep 1990, PMID [http:/3/1171www.ncbi.nlm.nih.abstract gov/pubmed/2246166 2246166]</ref>
</references>
