App
Running Power Estimator
Par tmatthey71 · v3.4
Note
4.6
Avis
58
téléchargements
10,000
Prix
Gratuit
Description
A running power estimator using pace and gradient based on Manetti et. al. (https://www.ncbi.nlm.nih.gov/pubmed/12183501). The running power is saved to FIT. Note that GPS-calculated elevation may have major distortion and affecting Run Power results. The vertical oscillation is not considers like with the Stryd sensor, only the horizontal power. Example: Running 95 minutes and burning 1400cal. 1400 * 4184 / (90 * 60) gives an average of 1084.7 Watt . Settings: In general: keep the defaults if you are not familiar with setting topic Efficiency: Setting to 20-24% gives you approximately similar power out as for cycling, where as 100% is the energy you burn during running. Averaging time interval of pace [s]: The time interval of paces to be averaged. Shorter time will give more updates, but with a greater chance of variation. Distance frequency [m]: The distance for the grade to be calculated. Shorter distances will give more updates, but with a greater chance of variation. Review: https://www.prorun.nl/runtech/vermogensmeters/hardloopvermogensmeters-13-running-power-estimator-iq-app/
Nouveautés
V 3.3.2 Add new supported watches Upgrade to SDK 3.2.5 V 3.3.0 Upgrade to SDK 3.2.3 V 3.2.4. Upgrade to SDK 3.2.2. Added newest watches. V 3.2.3 Upgrade to SDK 3.1.7. Added newest watches. V 3.2.0 Upgrade to SDK 3.0. Different float parsing for user settings. V 3.0.0 Upgrade to SDK 2.4.4 V 2.2.0: Upgrade to SDK 2.4.2 V 2.1.0: Unique labels for chart and FIT entries Fixed issue of gradient calculation V 2.0.7: Zero gradient at start until elapsed time greater than averaging time Upgrade to SDK 2.4.1 V 2.0.5: Most recent SDK 2.3.4. Should support also VivoActive3 et. al. V 2.0: Update for new watches. Added max power for summary and average and max for each lap to FIT file. V 1.4: Averaging damping factor of gradients V 1.3: Added running efficiency input; to adjust to corresponding cycling Watt's. Added average running power to FIT. V 1.2: Use averaging of gradient and record to FIT. Using timer not elapsed time.
Test
Article de test à venir.