System and method for target muscle glycogen score determination and evaluation
Provided is a non-invasive system and method for determining a target glycogen score value for a target muscle and potentially at least one indicator muscle. The method includes receiving an ultrasound scan of a target muscle; evaluating at least a portion of the ultrasound scan to determine glycogen store value within the target muscle; recording the determined glycogen store value for the muscle as an element of a glycogen value data set for the muscle; evaluating the glycogen value data set to determine a value range; and in response to the range being at least above a pre-determined threshold, establishing a target score for the muscle as based on an upper portion of the value range. The method may be repeated to identify ranges for a plurality of muscles, the muscle with the greatest range being identified as an indicator muscle. An associated system is also disclosed.
1. A non-invasive method of determining a target glycogen score value for a target muscle, comprising:
receiving from a subject a plurality of ultrasound scans of a target muscle over a plurality of ultrasound scanning sessions, each ultrasound scan having a plurality of data elements;
for each received ultrasound scan, a computing system with a processor;
selecting at least a portion of the ultrasound scan;
defining a plurality of subsets of the ultrasound data elements within the selected portion, each subset of ultrasound data elements having at least one attribute indicative of water concentration within the muscle tissue;
quantifying each attribute as a value within a range of glycogen concentration values from zero percent concentration to one hundred percent concentration, based on a pre-established glycogen concentration scale that correlates the attribute to a glycogen concentration value to determine a glycogen store value for each subset, the collective glycogen store values being a glycogen value data set for the muscle;
evaluating the glycogen value data set to determine a glycogen store value range; and
in response to the range being at least above a pre-determined threshold, establishing a target score for the target muscle as based on an upper portion of the value range.
2. The method of claim 1 , wherein at least five scanning sessions arc performed to provide the data set.
3. The method of claim 2 , wherein scanning session are performed before and after exercise by the subject and before and after the subject consuming nutrition.
4. The method of claim 1 , wherein evaluating the glycogen store value data set includes providing a statistical summary for the glycogen value data set.
5. The method of claim 4 , wherein the statistical summary is visually represented to a user as a box plot.
6. The method of claim 1 , wherein evaluating the data set includes:
determining a first quartile (Q 1 ) and a third quartile (Q 3 );
establishing an inner quartile range (IQR) as the difference between the Q 3 and the Q 1 ;
identifying a first glycogen store value (FG) within the TQR and closest to or equal to Q 1 ,
identifying a second glycogen store value (SG) within the IQR and closest to or equal to Q 3 ;
determining a lower limit as FG−1.5(IQR);
determining a upper limit as SG+1.5(IQR); and
establishing the range as the difference between the lower limit and the upper limit.
7. The method of claim 6 , wherein for the muscle Q 3 is established as a target score.
8. The method of claim 1 , wherein the method is stored on a computer-readable medium as a computer program, which when executed by a computer system will perform the steps of determining a target glycogen store value for a target muscle.
9. The method of claim 1 , wherein the attribute is selected from the group consisting of: color, contrast, darkness, and luminance.
10. A non-invasive method of determining a target glycogen score value for a target muscle, comprising:
receiving an ultrasound scan of a target muscle, the ultrasound scan having a plurality of data elements;
for the received ultrasound scan, a computing system with a processor;
selecting at least a portion of the ultrasound scan;
defining a plurality of subsets of the ultrasound data elements within the selected portion, each subset of ultrasound data elements having at least one attribute indicative of water concentration within the muscle tissue;
quantifying each attribute as a value within a range of glycogen concentration values from zero percent concentration to one hundred percent concentration, based on a pre-established glycogen concentration scale that correlates the attribute to a glycogen concentration value to determine a glycogen store value for each subset;
recording the determined glycogen store value for the muscle as an element of a glycogen value data set for the muscle;
evaluating the glycogen value data set to determine a glycogen store value range for the target muscle; and
in response to the range being at least above a pre-determined threshold, establishing a target glycogen score for the muscle as based on an upper portion of the value range.
11. The method of claim 10 , wherein at least five scanning sessions are performed to provide the data set.
12. The method of claim 11 , wherein scanning session are performed before and after exercise by the subject and before and after the subject consuming nutrition.
13. The method of claim 10 , wherein evaluating the glycogen store value data set includes providing a statistical summary for the glycogen value data set.
14. The method of claim 13 , wherein the statistical summary is visually represented to a user as a box plot.
15. The method of claim 10 , wherein evaluating the data set includes:
determining a first quartile (Q 1 ) and a third quartile (Q 3 );
establishing an inner quartile range (TQR) as the difference between the Q 3 and the QI;
identifying a first glycogen store value (FG) within the IQR and closest to or equal to QI;
identifying a second glycogen store value (SG) within the TQR and closest to or equal to Q 3 ;
determining a lower limit as FG−1.5(IQR);
determining a upper limit as SG+1.5(IQR); and
establishing the range as the difference between the lower limit and the upper limit.
16. The method of claim 15 , wherein for the muscle Q 3 is established as a target score.
17. The method of claim 10 , wherein the attribute is selected from the group consisting of: color, contrast, darkness, and luminance.
18. A non-transitory machine readable medium on which is stored a computer program for a non-invasive method of determining a target glycogen score value for a target muscle, the computer program comprising instructions which when executed by a computer system having at least one processor performs the steps of:
receiving an ultrasound scan of a target muscle, the ultrasound scan having a plurality of data elements;
selecting at least a portion of the ultrasound scan;
defining a plurality of subsets of the ultrasound data elements within the selected portion, each subset of ultrasound data elements having at least one attribute indicative of water concentration within the muscle tissue;
quantifying each attribute as a value within a range of glycogen concentration values from zero percent concentration to one hundred percent concentration, based on a pre-established glycogen concentration scale that correlates the attribute to a glycogen concentration value to determine a glycogen store value for each subset;
recording the determined glycogen store value for the muscle as an element of a glycogen value data set for the muscle;
evaluating the glycogen value data set to determine a glycogen store value range for the target muscle; and
in response to the range being at least above a pre-determined threshold, establishing a target glycogen score for the muscle as based on an upper portion of the value range.
19. The non-transitory machine readable medium of claim 18 , wherein at least five scanning sessions arc performed to provide the data set.
20. The non-transitory machine readable medium of claim 19 , wherein scanning session are performed before and after exercise by the subject and before and after the subject consuming nutrition.
21. The non-transitory machine readable medium of claim 18 , wherein evaluating the glycogen store value data set includes providing a statistical summary for the glycogen value data set.
22. The non-transitory machine readable medium of claim 21 , wherein the statistical summary is visually represented to a user as a box plot.
23. The non-transitory machine readable medium of claim 18 , wherein evaluating the data set includes:
determining a first quartile (Q 1 ) and a third quartile (Q 3 );
establishing an inner quartile range (IQR) as the difference between the Q 3 and the QI;
identifying a first glycogen store value (FG) within the IQR and closest to or equal to Q 1 ;
identifying a second glycogen store value (SG) within the IQR and closest to or equal to Q 3 ;
determining a lower limit as FG−1.5(IQR);
determining a upper limit as SG+1.5(IQR); and
establishing the range as the difference between the lower limit and the upper limit.
24. The non-transitory machine readable medium of claim 23 , wherein for the muscle Q 3 is established as a target score.
25. The non-transitory machine readable medium of claim 18 , wherein the attribute is selected from the group consisting of: color, contrast, darkness, and luminance.
26. A system for non-invasive determination of a target glycogen score value for a target muscle, comprising:
a computing system having at least one processor adapted to receive at least one ultrasound scan of a target muscle, the ultrasound scan having a plurality of data elements, the first system further adapted to:
select at least a portion of the ultrasound scan;
define a plurality of subsets of the ultrasound data elements within the selected portion, each subset of ultrasound data elements having at least one attribute indicative of water concentration within the muscle tissue;
quantify each attribute as a value within a range of glycogen concentration values from zero percent concentration to one hundred percent concentration, based on a pre-established glycogen concentration scale that correlates the attribute to a glycogen concentration value to determine a glycogen store value for each subset;
record the determined glycogen store value for the muscle as an element of a glycogen value data set for the muscle;
evaluate the glycogen value data set to determine a glycogen store value range for the target muscle; and
in response to the range being at least above a pre-determined threshold, establish a target glycogen score for the muscle as based on an upper portion of the value range.
27. The system of claim 26 , wherein at least five scanning sessions are performed to provide the data set.
28. The system of claim 26 , wherein scanning session are performed before and after exercise by the subject and before and after the subject consuming nutrition.
29. The system of claim 26 , wherein to evaluate the glycogen store value data set, the computing system provides a statistical summary for the glycogen value data set.
30. The system of claim 29 , wherein the statistical summary is visually represented to a user as a box plot.
31. The system of claim 26 , wherein to evaluate the data set, the computing system:
determines a first quartile (Q 1 ) and a third quartile (Q 3 );
establishes an inner quartile range (IQR) as the difference between the Q 3 and the Q 1 ;
identifies a first glycogen store value (FG) within the IQR and closest to or equal to QI;
identifies a second glycogen store value (SG) within the IQR and closest to or equal to Q 3 ;
determines a lower limit as FG−1.5(IQR);
determines a upper limit as SG+1.5(IQR); and
establishes the range as the difference between the lower limit and the upper limit.
32. The system of claim 31 , wherein for the muscle Q 3 is established as a target score.
33. The system of claim 26 , wherein the attribute is selected from the group consisting of: color, contrast, darkness, and luminance.