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Running Power Estimator

Descripción

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.</p><p></p><p>Example: Running 95 minutes and burning 1400cal. 1400 * 4184 / (90 * 60) gives an average of 1084.7 Watt .</p><p></p><p>Settings:</p><p></p>

Novedades

V 3.2.3</p><p>Upgrade to SDK 3.1.7. Added newest watches.</p><p></p><p>V 3.2.0</p><p>Upgrade to SDK 3.0. Different float parsing for user settings. </p><p></p><p>V 3.0.0</p><p>Upgrade to SDK 2.4.4</p><p></p><p>V 2.2.0:</p><p>Upgrade to SDK 2.4.2</p><p></p><p>V 2.1.0:</p><p>Unique labels for chart and FIT entries</p><p>Fixed issue of gradient calculation</p><p></p><p>V 2.0.7:</p><p>Zero gradient at start until elapsed time greater than averaging time</p>

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Esta aplicación requiere acceso a:

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Calificación media: (39 calificaciones)

CCA
28 de julio de 2020

Great app and simple way to have run power estimation without other device. After reading the Manetti et. al article an prorun.nl review I wonder if possible to have excel/Google sheet to calculate run power estimations for past workouts? Thanks.

Respuesta del desarrollador
28 de julio de 2020, tmatthey71

Thx! This should be possible with Excel. You'll need to extract distance, time, (pace or speed,) and elevation into Excel. The changeling part is to find current velocity and gradient to be smooth enough, but still capturing the details. For the gradient you can use Excel linear regression and for velocity a window average over 10-30s. Doing this as post process you can get more accurate velocity and gradient values, since you look ahead, which my data field cannot. Then use Minetti.

Lo sentimos, aún no hay estadísticas disponibles.