METABOLIC MONITORING SYSTEM

1 . A method comprising:

receiving, by a processor, data associated with an individual from a metabolic sensor, the data comprising at least two of glucose data, ketone data and lactate data;

receiving, by the processor, food intake information and physical activity information associated with the individual;

calculating, by the processor, a global metric that is based on i) the glucose data and the ketone data, ii) the glucose data and the lactate data, iii) the ketone data and the lactate data; or iv) the glucose data, the ketone data and the lactate data;

determining, by the processor, an individualized metric by correlating the food intake information and the physical activity information to the global metric; and

recommending, by the processor, a behavior modification based on the individualized metric.

2 . The method of claim 1 , wherein:

the glucose data comprises a glucose variability (GV), a glucose load (GL), and a post-prandial peak (PPP);

the ketone data comprises a ketone load (KL) and a ketone variability (KV); and

the lactate data comprises a lactate load (LL) and lactate variability (LV).

3 . The method of claim 2 , wherein the global metric comprises a GK Ratio of the glucose data and the ketone data, the GK Ratio being chosen from:

GK Ratio 1=GL/KL,

GK Ratio 2=GV/KV,

GK Mixed Ratio 1=GL/KV, and

GK Mixed Ratio 2=GV/KL.

4 . The method of claim 2 wherein the global metric comprises an LG Ratio of the lactate data and the glucose data, the LG Ratio being chosen from:

LG Ratio 1=GL/LL,

LG Ratio 2=GV/LV,

LG Mixed Ratio 1=GL/LV, and

LG Mixed Ratio 2=GV/LL.

5 . The method of claim 2 , wherein the global metric comprises an LK Ratio of the lactate data and the ketone data, the LK Ratio being chosen from:

LK Ratio 1=LL/KL,

LK Ratio 2=LV/KV,

LK Mixed Ratio 1=LL/KV, and

LK Mixed Ratio 2=LV/KL.

6 . The method of claim 2 , wherein the global metric comprises a ketone global metric chosen from:

Global Metric K 1 =A *KV+ B *KL,

Global Metric K 2=( A *KV)/( B *KL),

Global Metric K 3=( A *KL)/( B *KV), and

Global Metric K 4={( A *KL)/(KROC)}*Ketone Ratio;

wherein the KROC is a ketone rate of change, the Ketone Ratio is a running ketone value divided by an average daily ketone level, and A and B are weighting factors.

7 . The method of claim 2 , wherein the global metric comprises a lactate global metric chosen from:

Global Metric L 1 =A *LV+ B *LL,

Global Metric L 2=( A *LV)/( B *LL),

Global Metric L 3=( A *LL)/( B *LV), and

Global Metric L 4={( A *LL)/(LROC)}*Lactate Ratio

wherein the LROC is a lactate rate of change, the Lactate Ratio is a running lactate value divided by an average daily lactate level, and A and B are weighting factors.

8 . The method of claim 2 , wherein the global metric further comprises a ketone rate of change (ROC) or a lactate ROC, wherein the ketone ROC or the lactate ROC is used in the determining of the individualized metric.

9 . The method of claim 8 , wherein the global metric comprises a global mixed metric chosen from:

Global Mixed Metric 1 =A *GV+ B *KV+ C *GL+ D *PPP,

Global Mixed Metric 2 =A *GV+ B *KV+ C *KL+ D *PPP,

Global Mixed Metric 3 =A *GL/KL,

Global Mixed Metric 4 =A *GV/KV,

Global Mixed Metric 5 =A *GROC/KROC, and

Global Mixed Metric 6 =A *GL/KL+ B *GV/KV+ C *GROC;

wherein A, B and C are weighting factors.

10 . The method of claim 1 , wherein:

the calculating comprises calculating a plurality of global metrics; and

the determining comprises which global metric of the plurality of global metrics to correlate the food intake information and the physical activity information to.

11 . The method of claim 1 , wherein the data is metabolic data is provided by a continuous metabolic monitoring device.

12 . The method of claim 1 , wherein the behavior modification comprises a food parameter or an exercise parameter.

13 . A method comprising:

receiving, by a processor, data associated with an individual from a metabolic sensor, the data comprising at least two of glucose data, ketone data, and lactate data;

receiving, by the processor, food intake information and physical activity information associated with the individual;

calculating, by the processor, a global metric, the global metric being an indicator ratio comprising at least two of the glucose data, the ketone data, and the lactate data;

determining, by the processor, an individualized metric by correlating the food intake information and the physical activity information to the global metric; and

recommending, by the processor, a behavior modification based on the individualized metric.

14 . The method of claim 13 , wherein:

the glucose data comprises a glucose variability (GV), a glucose load (GL), and a post-prandial peak (PPP);

the ketone data comprises a ketone load (KL) and a ketone variability (KV); and

the lactate data comprises a lactate load (LL) and lactate variability (LV).

15 . The method of claim 14 , wherein the indicator ratio is a GK Ratio of the glucose data and the ketone data, the GK Ratio being chosen from:

GK Ratio 1=GL/KL,

GK Ratio 2=GV/KV,

GK Mixed Ratio 1=GL/KV, and

GK Mixed Ratio 2=GV/KL.

16 . The method of claim 14 wherein the indicator ratio is an LG Ratio of the lactate data and the glucose data, the LG Ratio being chosen from:

LG Ratio 1=GL/LL,

LG Ratio 2=GV/LV,

LG Mixed Ratio 1=GL/LV, and

LG Mixed Ratio 2=GV/LL.

17 . The method of claim 14 , wherein the indicator ratio is an LK Ratio of the lactate data and the ketone data, the LK Ratio being chosen from:

LK Ratio 1=LL/KL,

LK Ratio 2=LV/KV,

LK Mixed Ratio 1=LL/KV, and

LK Mixed Ratio 2=LV/KL.

18 . The method of claim 13 , wherein:

the calculating comprises calculating a plurality of global metrics; and

the determining comprises which global metric of the plurality of global metrics to correlate the food intake information and the physical activity information to.

19 . The method of claim 13 , wherein the data is metabolic data is provided by a continuous metabolic monitoring device.

20 . The method of claim 13 , wherein the behavior modification comprises a food parameter or an exercise parameter.