I am currently a beta tester for a new application designed to parse power meter files into segments based on descriptive training schema (i.e. identifies sections of a ride which the meet minimum intensity and duration criteria to be considered an L4 effort, L5 etc). These segments can then be totalled for time and TSS at each level.
Any schema can be used such as Andy Coggan's levels based on FTP, or Ric Stern's levels based on MAP. As we know they are fundamentally similar schema in terms of the intensity and minimum duration applicable, just some variances in the number of levels and "bandwidth" of each level.
I thought I would share some charts developed as a result of the output of this data. This is by no means the only way of looking at the parsed workout data but I thought it may provide some insights which perhaps didn't previously exist in a visual format.
There will no doubt be debate over the validity of the file parsing approach so certainly interested in what forums members make of this lot....
The setting of levels is arbitrary (you define lower limits for duration and intensity), so there is some interpretation as to what the limits are. This approach also tends to make you focus on levels as being discrete in their physiological impact, when in fact we all know this isn't the case, indeed this in itself is probably the biggest challenge to overcome when translating our "analogue" bodies' response into a "digital" display.
Nevertheless, this provides one way of visualising the mix of workout types from all rides, in particular non-structured rides.
The charts cover my own training since 1 August. All road and track riding, nothing on trainer/rollers (except for the odd short warm up before a race).
Chart 1 shows weekly ride time in minutes parsed into "levels" based on Ric's MAP based levels.
Chart 2 shows weekly ride TSS parsed based on same "levels" and plotted with CTL attained at end of week.
Thoughts?
Alex
Any schema can be used such as Andy Coggan's levels based on FTP, or Ric Stern's levels based on MAP. As we know they are fundamentally similar schema in terms of the intensity and minimum duration applicable, just some variances in the number of levels and "bandwidth" of each level.
I thought I would share some charts developed as a result of the output of this data. This is by no means the only way of looking at the parsed workout data but I thought it may provide some insights which perhaps didn't previously exist in a visual format.
There will no doubt be debate over the validity of the file parsing approach so certainly interested in what forums members make of this lot....
The setting of levels is arbitrary (you define lower limits for duration and intensity), so there is some interpretation as to what the limits are. This approach also tends to make you focus on levels as being discrete in their physiological impact, when in fact we all know this isn't the case, indeed this in itself is probably the biggest challenge to overcome when translating our "analogue" bodies' response into a "digital" display.
Nevertheless, this provides one way of visualising the mix of workout types from all rides, in particular non-structured rides.
The charts cover my own training since 1 August. All road and track riding, nothing on trainer/rollers (except for the odd short warm up before a race).
Chart 1 shows weekly ride time in minutes parsed into "levels" based on Ric's MAP based levels.
Chart 2 shows weekly ride TSS parsed based on same "levels" and plotted with CTL attained at end of week.
Thoughts?
Alex
