Muscle Fuel Rating - MFR
The ability to compare (rate) the energy status of a muscle with that of a much larger population is a valuable asset to the medical, fitness and wellness field. Prior to MuscleSound, this kind of measure had not been available outside an epidemiological research setting.
Muscle Fuel Rating is used to track and compare a muscle’s MuscleSound score with the scores of tens of thousands of other muscle images in our cloud-based ‘population’ of scans. Muscles are rated using a 5-point scale (very low, low, average, high, very high). This measure can be used in two ways.
- To help track behavioral or event driven muscle changes in an individual’s life over time
- To assess and track ‘what is possible’ for the Fuel Level of any given muscle.
To obtain a Rating, we find the median score for the last 30 days of all MuscleSound scores for an individual. We then determine how this score compares to our entire scan population, using the 5-point Rating scale described above. Repeating this process over time enables us to assess any comparative muscle improvements made.
Rationale for Fuel Rating
Fuel Rating enables us to provide more actionable information for a given muscle. For instance, one could have a ‘full tank’ in an individual muscle scan session, but that tank could be small in relation to the total MuscleSound population. If this situation occurred, it would signal that there is room for improvement, over time, for that particular muscle. Only by comparing MuscleSound scores in this way would we have any idea of ‘what is possible’ for a given individual's Fuel Tank. This is important information for any athlete.
Rating can be used
- to track effects of changes in behavior (vacation, traveling, etc.)
- to see the broader effects of an ‘event’ (injury, overtraining, etc.)
- to see the potential of ‘what is possible’ for how a muscle could score
- to provide information over time to help improve EFL
1. Gather all sessions within 30 days
2. Calculate the median raw score value
3. Use the muscle, location of scoring region of these images, and ultrasound model for referencing
4. Determine a percentile for the current value in the range of scores for the MuscleSound scan population