System and method for using metabolic data to optimize athletic performance

A tangible, non-transitory computer-readable medium storing instructions that, when executed, cause a processing device to:

• receive user data, wherein the user data includes biometric attribute data associated with a user of an exercise device;
• generate at least one interval, the at least one interval including at least duration data and target power data each associated with at least one exercise performed by the user using an exercise device;
• during the at least one interval, receive measurement data associated with at least one of the user and the exercise device;
• calculate, based on the measurement data and the user data, energy data associated with an expended energy of the user during the at least one interval, the energy data including quantity data and source information each associated with at least one energy source;
• and
• generate, via an artificial intelligence engine, a machine learning model trained to identify the at least one energy source.

A system for optimizing at least one exercise performed by a user using an exercise device, the system comprising:

• a memory device storing instructions;
• a processing device communicatively coupled to the memory device, the processing device executes the instructions to:
• receive user data, wherein the user data includes biometric attribute data associated with a user of an exercise device;
• generate at least one interval, the at least one interval including at least duration data and target power data each associated with at least one exercise performed by the user using an exercise device;
• during the at least one interval, receive measurement data associated with at least one of the user and the exercise device;
• calculate, based on the measurement data and the user data, energy data associated with an expended energy of the user during the at least one interval, the energy data including quantity data and source information each associated with at least one energy source;
• and
• generate, via an artificial intelligence engine, a machine learning model trained to identify the at least one energy source.