Golden Cheetah and hrtss
velodedo
Posts: 20
I am using Golden Cheetah as analysis software currently I have two bikes to train one with the power meter and one without power meter but I always use the heart rate monitor. In order to obtain a reliable PMC chart, I thought to insert the TSS manually in the files where I did not use the power meter inserting the hrsTS value provided by Training Peaks in this way the TSS based PMC chart is reliable? unfortunately Trainin Peaks is too expensive you have to recommend some cheaper software that can provide a reliable PMC analysis using both the heart rate monitor and the power meter? I would have thought about cycling analytics or wattsboard
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velodedo wrote:I am using Golden Cheetah as analysis software currently I have two bikes to train one with the power meter and one without power meter but I always use the heart rate monitor. In order to obtain a reliable PMC chart, I thought to insert the TSS manually in the files where I did not use the power meter inserting the hrsTS value provided by Training Peaks in this way the TSS based PMC chart is reliable? unfortunately Trainin Peaks is too expensive you have to recommend some cheaper software that can provide a reliable PMC analysis using both the heart rate monitor and the power meter? I would have thought about cycling analytics or wattsboard
Are you just looking to see your CTL, ATL and TSB? If so I have a spreadsheet for this, you can put planned info into it.Trainer Road Blog: https://hitthesweetspot.home.blog/
Cycling blog: https://harderfasterlonger.wordpress.com/
Blog: https://supermurphtt2015.wordpress.com/
TCTP: https://supermurph.wordpress.com/0 -
velodedo wrote:I am using Golden Cheetah as analysis software currently I have two bikes to train one with the power meter and one without power meter but I always use the heart rate monitor. In order to obtain a reliable PMC chart, I thought to insert the TSS manually in the files where I did not use the power meter inserting the hrsTS value provided by Training Peaks in this way the TSS based PMC chart is reliable? unfortunately Trainin Peaks is too expensive you have to recommend some cheaper software that can provide a reliable PMC analysis using both the heart rate monitor and the power meter? I would have thought about cycling analytics or wattsboard
You can insert TSS manually for any ride in GC, it's pretty easy to estimate the ballpark TSS once you've been using a PM for a while, I'd suggest estimating as accurate or more than HR based score.0 -
But when I do not use the power meter how can I estimate the tss (if I only use the heart rate monitor?)0
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One hour at FTP is 100 TSS. It follows that most hour long workouts will be a little less, say 80-90 for 2x20 or 5x5. Longer rides are less intense so 60 TSS/hr for tempo or 40 TSS/hr for zone 2.
For the purposes of PMC being within 10-20% accuracy is fine, especially if you can be sufficiently objective to make errors in both directions :-) i.e. not consistently overestimating.
I think that you can also used the HR data in GC to estimate the TSS but I wouldn't bother. I trust PE more than the HR data.0 -
velodedo wrote:I am using Golden Cheetah as analysis software currently I have two bikes to train one with the power meter and one without power meter but I always use the heart rate monitor. In order to obtain a reliable PMC chart, I thought to insert the TSS manually in the files where I did not use the power meter inserting the hrsTS value provided by Training Peaks in this way the TSS based PMC chart is reliable? unfortunately Trainin Peaks is too expensive you have to recommend some cheaper software that can provide a reliable PMC analysis using both the heart rate monitor and the power meter? I would have thought about cycling analytics or wattsboard
Maybe this is of help?
https://groups.google.com/forum/#!topic/golden-cheetah-users/ElrZ_MhUwHc
GC allows you to make a user defined metric (preferences > metrics > add)
Then you paste this in the "program" section:
{
init { myVal <- 0; }
sample{
if(Data contains "P")
myVal <- TSS;
else myVal <- TRIMP(100)_Points;
}
value { myVal; }
}
It will take TSS from power meter if power data is available, otherwise it automatically takes TRIMP(100) points from HR.0