Patent ID: 11948672
Assignee: nan
Field: Medical technology (Instruments)
Classification: CPC G  Y | IPC G

Claim 26:
27. A method for classifying an overtraining condition of an athlete on a wearable fitness tracking device having a processor and memory configuration adapted to permit application of artificial intelligence for mobile usage while the athlete is training in a remote location, comprising:
providing the wearable fitness tracking device, the device having a memory bifurcated into a latent memory and a current memory, the latent memory and the current memory being differentially updatable depending upon presence of the wearable fitness tracking device in an internet coverage area;
generating a set of latent features relating to historical training patterns and outcomes;
selectively updating the latent memory of a wearable fitness tracking device worn by the athlete with the latent features once the wearable fitness tracking device in an internet coverage area;
recording current training data of the athlete as the athlete is training to generate a set of current features, regardless of presence of the wearable fitness tracking device in an internet coverage area, the current features including a heart rate measured with the wearable fitness tracking device;
creating a feature set relating to a potential overtraining condition using at least the measured heart rate, the feature set being created with latent features and current features;
normalizing the latent features and the current features into real numbers;
performing a statistical application with the latent features and the current features to generate a feature vector for the overtraining condition;
feeding the feature vector into a neural network residing on the wearable fitness tracking device;
obtaining a result from the neural network as to whether an overtraining condition is present; and
providing an overtraining warning to the athlete if an output of the neural network indicates an overtraining condition is present.