network profile
| bio | website | |
|---|---|---|
| location | ||
| age | ||
| visits | member for | 6 months |
| seen | yesterday | |
| stats | profile views | 2 |
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Feb 13 |
awarded | Nice Question |
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Feb 9 |
reviewed | Excellent Why does the suprailliac skinfold body fat method depend on age? |
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Feb 9 |
reviewed | Excellent How can you do a BMI test? |
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Feb 9 |
reviewed | Satisfactory Supercompensation and split workouts |
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Feb 9 |
reviewed | Excellent What is an ideal body fat% for young lean males? |
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Feb 9 |
reviewed | Excellent best way to build cardio endurance? |
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Feb 9 |
reviewed | Excellent Compound, total body exercises minimising quad and ham development |
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Feb 9 |
reviewed | Satisfactory Quads vs Hamstrings in Squats and Lunges |
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Feb 9 |
reviewed | Excellent Workout plan for a lazy person |
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Feb 9 |
awarded | Custodian |
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Feb 9 |
reviewed | Satisfactory What should I be looking for in a heart rate monitor? |
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Dec 14 |
revised |
Continuous heart rate monitor added link to review |
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Dec 14 |
suggested | suggested edit on Continuous heart rate monitor |
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Dec 1 |
comment |
Firstbeat Energy Expenditure Algorithm I posted the question here because I am interested in an algorithm that I can run on my own HR data. The NN is nothing but a black box that gives more or less unverifiable and maybe unstable output after training with a huge dataset. As I don't have access to this training dataset, understanding the NN is not too useful for me. I am more interested in the physiological model + usable algorithm that depends only on a few coefficients. It is easier to understand the limitations of such a model, too. |
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Nov 22 |
comment |
Firstbeat Energy Expenditure Algorithm I'd like to get a general understanding for the algorithms and their limitations. I am still reading Saalasti's thesis, it seems he is using a NN and trains it on the data, which gives a model that is not easy to understand and impossible to reproduce without the original dataset. For example all he states about EPOC is EPOC=f(EPOC_{t-1}, intensity, Dt) (107), what is really going on is hidden in the model. I am looking for algorithmic descriptions together with empirically obtained values to calculate things like Training Effect, EPOC, etc. myself. |
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Nov 22 |
revised |
Firstbeat Energy Expenditure Algorithm added link to program |
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Nov 22 |
awarded | Editor |
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Nov 22 |
revised |
Firstbeat Energy Expenditure Algorithm fixed links |
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Nov 22 |
comment |
Firstbeat Energy Expenditure Algorithm Equation (106) gives relative VO2 as a function of the relative heartrate from a fit. pVO2 = 1.459*(pHR)*2 - 0.49*pHR+0.04. It's difficult to follow what the EPOC model really does with all the hidden parameters. I don't think they use a learning NN in a watch. From having a short look at the thesis, it looks like they use it as a black box function for a fit. Maybe someone with more knowledge about NNs can comment. |
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Nov 22 |
comment |
Firstbeat Energy Expenditure Algorithm I found the thesis of one of the Firstbeat people jyx.jyu.fi/dspace/bitstream/handle/123456789/13267/… |
