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HRtoPower

Descripción

This small data field produces an estimated POWER (watts) metric based on your HR.</p><p></p><p>https://www.facebook.com/notes/dave-brillhart/hr-2-power-garmin-data-field/10155933547947073/

Novedades

v6.5 fixed bug where using a real power meter indoors (not moving) would not report power (was looking for non zero speed)</p><p>v6.4 optimized the display, content, vertical position, and font sizes, and added a 5 min avg compare vs real power</p><p>v5.5 added a new graph to Garmin Connect to show the PWR Difference between Real and Estimate Power if you have a real power meter</p><p>v5.3 slightly adjusts rate of change multiplier, and adds that multiplier to the display</p>

Información adicional

Permisos

Esta aplicación requiere acceso a:

  • Registrar información adicional en archivos de actividad
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  • vívoactive® HR vívoactive® HR
Calificación media: (15 calificaciones)

Pedro Nascimento
11 de octubre de 2020 | Versión v6.9

Very good.

Davide M (15 anni)
19 de mayo de 2020 | Versión v6.9

I never seen an estimator so good in Connect IQ Store. It is so accurate for accelerations, average power, instantaneous power. I will give 5 stars if is possible to modify data fields to have Avg power in a data field, Power (4s) in another data field and avg power of the last 5 minutes in another data field.

Franz Tornado
13 de abril de 2020 | Versión v6.9

good idea, I like to use it, but the font of the numbers in the display is too small

Richard Wade
23 de septiembre de 2019 | Versión v6.8

Have been using this along side my power pedals and found it very accurate once set up. I use it with my gravel and MTB which gives a XSS in Xert that is realistic.

Leszek Prozorowicz
5 de septiembre de 2019 | Versión v6.8

Comparing the fit records in GoldenCheetah, I see that data with zero power is skipped in the record instead of entering the zero value. It is interesting that GC calculates power based on these fields, but where cadence is zero, it inserts zero power. Over time, the data pass precisely due to the lack of zero power recording in the case of zero cadence. Will you be able to improve the data recording so that also zero power at zero term is saved?

Markel Sesma
13 de agosto de 2019 | Versión v6.8

It would be great if in addition to the data provided, you could obtain the power you have given by eliminating the moments when you do not pedal in addition to the one currently displayed. If possible, an estimate of ftp would be wonderful. very good job, it is the best application by far

Elise
12 de agosto de 2019 | Versión v6.8

This is pretty cool. I just started using it and trialling xert just when I wont have access to a power meter for the next few weeks... but I think it will work well when I get a chance to calibrate properly! Thank you for making this.

Jon Bekenstein
7 de agosto de 2019 | Versión v6.8

Great data field. But if you use it with a power meter to calibrate, your maximum power in Training peaks will be the avg power you set for using the data field without a heart rate monitor, even if you use it with a heart rate monitor. This is only in Training peaks. I use it with a Quarq, and I get two power meter graphs in Training Peaks, with one being power and the other being right side power. Not sure how Training Peaks picks these. But the graphs get truncated in TP at the NP you set in HR2P. So, if you use Training Peaks, after you calibrate HR2P against your power meter, you need to delete the HR2P data field or your Training Peaks Training load and power curves will be severely corrupted. After 3 months, I finally looked closely at the Training Peaks data which no longer mirrors XERT data. For XERT, HR2P is not a problem at all, even if you use it with your power meter. Just watch out for what it does to your Training Peaks power curves.

Jon Bekenstein
28 de junio de 2019 | Versión 6.7

I use this when I ride my Brompton which doesn't have a power meter, so I can keep up with my XERT training plan and XSS numbers. However, with version 6.7, on my Edge 1030, in the settings in Garmin Connect, the settings do not "stick." I have to reset them every time I sync. So, one day the data for power is pretty good, the next it is off by 15%.

Respuesta del desarrollador
29 de junio de 2019, DaveBrillhart

Strange. I’ll check and fix that if I can repeat it on my 1030. Thx!

Lee Zavarise
26 de junio de 2019 | Versión 6.7

Mountain bike doesn't have a power meter. My commutes to work on my road bike I find this app to be very accurate for average power.

Respuesta del desarrollador
26 de junio de 2019, DaveBrillhart

Awesome. Thanks for the feedback. That is why I developed this, for my MTB rides. :-)

Kk
25 de junio de 2019 | Versión 6.7

Hi Dave, any chance supporting scaled font sizes for Edge 130? Currently when viewed with one data field (2 columns x 4 rows) displayed, it is inadequate to see. This is also the case when the data field is 2 columns x 2 rows as the font does not scale or adapt to the available space provided by these data field size on Edge 130. My other feedback is to add either a different warmup scaling factor other than the 40%-0% or let the user change the warmup time period from 7 minutes to user choice.

Respuesta del desarrollador
26 de junio de 2019, DaveBrillhart

Thank you! I need to run the DF in the Edge 130 simulator and see how the fonts appear. And I will consider and adjustable warmup. I appreciate the feedback!

Jared Wake
18 de abril de 2019 | Versión v6.6

I really like this field. I do not use a power meter because I am less focused on increasing my VO2 max and anaerobic efforts and more focused on enjoying the sport...my personal preference. Also I do not race. However, that doesn’t mean I don’t like to see if I am getting stronger and your app does give me a pretty cool way to do that. I was wondering if in a paid version you could do 2 things....1) have the option to stop the scrolling between the data and 2) include normalized power. Thanks for all the work.

KajSLaursen
17 de marzo de 2019 | Versión v4.7

Obviously, there are limitations to this estimation, but it works surprisingly well! Very good for estimating and keeping track of training load.

Respuesta del desarrollador
17 de marzo de 2019, DaveBrillhart

Thx Kaj!

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